100+ datasets found
  1. World university rankings by Times Higher Education 2024/2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 5, 2025
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    Statista (2025). World university rankings by Times Higher Education 2024/2025 [Dataset]. https://www.statista.com/statistics/226681/world-university-rankings-by-times-higher-education/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    For the academic year of 2024/2025, the University of Oxford was ranked as the best university in the world, with an overall score of 98.5 according the Times Higher Education. The Massachusetts Institute of Technology and Harvard University followed behind. A high number of the leading universities in the world are located in the United States, with the ETH Zürich in Switzerland the highest ranked neither in the United Kingdom nor the U.S.

  2. QS top 100 universities

    • kaggle.com
    Updated Jan 21, 2024
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    willian oliveira gibin (2024). QS top 100 universities [Dataset]. http://doi.org/10.34740/kaggle/dsv/7450222
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 21, 2024
    Dataset provided by
    Kaggle
    Authors
    willian oliveira gibin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F3e3c54f587ab17e92580cc95201c4b31%2FRplot.png?generation=1705869808232376&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fa6b42e79e6e7d7678ca631cfff5466f2%2Ffile2ecc50e01cf4.gif?generation=1705869826569671&alt=media" alt="">

    The QS Rankings, renowned for its esteemed university evaluations, annually releases the QS World University Rankings. The 2024 edition comprises a dataset encompassing the top 100 universities globally, with each entry defined by 12 features.

    The 'rank' feature denotes the university's position in the QS rankings, offering a quantitative representation of its standing. The 'university' column identifies the institution by name. The 'overall score' is a floating-point value derived from various contributing factors, reflecting the comprehensive evaluation undertaken by QS.

    Academic reputation, an integral aspect, is quantified in the 'academic reputation' feature, while 'employer reputation' gauges the institution's standing in the professional realm. The 'faculty student ratio' is calculated by dividing the faculty count by the number of students, a metric often indicative of the learning environment's quality.

    'Citations per faculty' delves into the scholarly impact, measuring the total citations received by an institution's papers over five years, normalized by faculty size. The 'international faculty ratio' and 'international students ratio' shed light on the global diversity of the academic community, capturing the proportion of foreign faculty and students.

    The 'international research network' employs a formula to quantify the institution's global partnerships and collaborations. 'Employment outcomes' are assessed through a formula involving alumni impact and graduate employment indices, providing insights into the professional success of graduates.

    Finally, the 'sustainability' feature evaluates an institution's commitment to environmental sciences, considering alumni outcomes and academic reputation within the field. It also examines the inclusion of climate science and sustainability in the curriculum, reflecting the growing emphasis on environmental consciousness in higher education.

    In essence, this dataset encapsulates a multifaceted evaluation of universities worldwide, encompassing academic, professional, and sustainability dimensions, making it a valuable resource for individuals and institutions navigating the dynamic landscape of global higher education. VALUE FOUNDS IS HIPOTICALY data 2021

  3. Leading universities worldwide for graduate employability 2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Leading universities worldwide for graduate employability 2018 [Dataset]. https://www.statista.com/statistics/696241/leading-universities-worldwide-graduate-employability/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    This statistic shows the leading universities worldwide with the highest scores on the Global University Employability Ranking index for 2018. In 2018, the university from which graduates were the most employable was Harvard University, with an index score of *****.

  4. d

    Statistics of foreign full-time teachers in colleges and universities by...

    • data.gov.tw
    csv, json
    + more versions
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    Department of Statistics, Statistics of foreign full-time teachers in colleges and universities by school, gender, and rank. [Dataset]. https://data.gov.tw/en/datasets/6290
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    json, csvAvailable download formats
    Dataset authored and provided by
    Department of Statistics
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Statistics of foreign full-time faculty in all Taiwanese universities and colleges - by school, gender, and rank.

  5. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
    + more versions
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    Brint, Steven (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR34874
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    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Brint, Steven
    Description

    The Institutional Data Archive on American Higher Education (IDA) contains academic data on 384 four-year colleges and universities in the United States. The IDA is one of two databases produced by the Colleges and Universities 2000 project based at the University of California, Riverside. This release, the third compilation of the IDA, is updated through academic year 2010-2011, and includes longitudinal and cross-sectional data from multiple sources. The collection is organized into nine datasets based on the unit of analysis and whether identifiers linking the data to particular institutions are present; seven of the datasets can be linked by a common identifier variable (PROJ_ID), and two cannot be linked due to confidentiality agreements. The seven identifiable datasets contain information on institutions, university systems, programs and academic departments, earned degrees, graduate schools, medical schools, and institutional academic rankings over time. Data regarding student enrollments, average SAT and ACT scores, and tuition and fees has been recorded, as well as institutional information concerning libraries, research activity, revenue and expenditures, faculty salaries, and quality rankings for program faculty. The identifiable datasets also include census information for neighborhoods surrounding IDA colleges and universities. The two non-identifiable datasets contain confidential survey responses from IDA institution presidents, chancellors, provosts, and academic vice presidents; survey questions pertained to governance structures, institutional goals and achievements, and solicited opinions on current and future issues facing the respondent's institution and higher education in general.

  6. Mexico: leading universities 2025, by academic reputation

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Mexico: leading universities 2025, by academic reputation [Dataset]. https://www.statista.com/statistics/704743/leading-universities-mexico/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    Based on the scores awarded by the Quacquarelli Symonds (QS) World University Rankings 2025, the Universidad Nacional Autónoma de México (UNAM) was ranked first in the country in the field of academic reputation, obtaining a score of ** points. This university ranked fourth among the leading universities in Latin America in 2025. It was followed by the Tecnológico de Monterrey with **** points for academic reputation.

  7. Graduate school admission data

    • figshare.com
    txt
    Updated Jun 1, 2023
    + more versions
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    Michal Pešta (2023). Graduate school admission data [Dataset]. http://doi.org/10.6084/m9.figshare.19561582.v1
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Michal Pešta
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Admission into graduate school data. This dataset has a binary response (outcome, dependent) variable called admit. There are three predictor variables: gre, gpa and rank.

  8. s

    Data from: Scimago Institutions Rankings

    • scimagoir.com
    • 0221.com.ar
    • +1more
    csv
    Updated Sep 25, 2009
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    Scimago Lab (2009). Scimago Institutions Rankings [Dataset]. https://www.scimagoir.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 25, 2009
    Dataset authored and provided by
    Scimago Lab
    Description

    The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

  9. Academic Ranking of World Universities (ARWU) 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). Academic Ranking of World Universities (ARWU) 2024 [Dataset]. https://www.statista.com/statistics/226665/academic-ranking-of-world-universities/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Harvard University was the top-ranked university in the world in 2024 with a score of 100 according to the Shanghai Ranking Consultancy group. Out of the top 30 ranked universities, the United States had 19 different universities on the list. An American legacy Harvard University is by far the most prestigious university in the United States. Founded in 1636, it is the country’s oldest institution of higher learning. Harvard is a member of the Ivy League, which is a group of eight private colleges in the Northeastern United States. Ivy League colleges are known in the U.S. for being highly selective while providing top education. The top of the top Out of thousands of higher education institutions in the United States, Harvard is even more exceptional for producing both the most presidents and the most billionaires. Attending college is typically seen as giving attendees a leg up in society, although the high cost of attendance can sometimes negate this effect.

  10. d

    NIRF - Master Data: Ranking-and-Academic-year- and University/Institute-wise...

    • dataful.in
    Updated May 15, 2025
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    NIRF - Master Data: Ranking-and-Academic-year- and University/Institute-wise Total Number of Admitted, Graduated, Placed and Median Salary of Post and Under Graduate Students [Dataset]. https://dataful.in/datasets/19315
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    application/x-parquet, csv, xlsxAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Number of Students Admitted, Graduated, Placed and Salary Amount
    Description

    The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total number of admitted, graduated and placed students of post and graduate students, along with additional details such as number of first year students intaken, number of admitted students through lateral entry, number of students selected for higher studies and median salary of students selected for placements, etc., as per the National Institutional Ranking Framework (NIRF) data

  11. o

    RANKING: National Center for Education Statistics. Public...

    • explore.openaire.eu
    Updated Jan 1, 2018
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    National Center For Education Statistics (2018). RANKING: National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Regular Schools, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-002National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Charter School, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-020 [Dataset]. http://doi.org/10.6068/dp1626dc6fb324
    Explore at:
    Dataset updated
    Jan 1, 2018
    Authors
    National Center For Education Statistics
    Description

    National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Regular Schools, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-002 Dataset: A public elementary/secondary school providing instruction and education services that does not focus primarily on special education, vocational/technical education, or alternative education, or on any of the particular themes associated with magnet/special program emphasis schools. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Public Schools, Elementary Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/National Center for Education Statistics. Public Elementary/Secondary School Summary (CCD): School Count - Charter School, 2012. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 017-002-020 Dataset: A school providing free public elementary and/or secondary education to eligible students under a specific charter granted by the state legislature or other appropriate authority, and designated by such authority to be a charter school. Data are from the Common Core of Data (CCD), a program of the U.S. Department of Education's National Center for Education Statistics that annually collects fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the United States. The data are supplied by state education agency officials. http://nces.ed.gov/ccd/ccddata.asp Category: Education Subject: Secondary Schools, Junior High Schools, High Schools, Elementary Schools, School Choice, Charter Schools Source: National Center for Education Statistics The National Center for Education Statistics (NCES) is the primary federal entity in the United States for collecting and analyzing data related to education in the US and other nations. NCES is located within the US Department of Education and the Institute of Education Sciences. The NCES fulfills a congressional mandate to collect, collate, analyze, and report complete statistics on the condition of US education; conduct and publish reports; and review and report on education activities internationally. The NCES is one of four centers (along with the National Center for Education Research, the National Center for Education Evaluation and Regional Assistance, and the National Center for Special Education Research) charged with carrying out the work of the Institute of Education Sciences. http://nces.ed.gov/

  12. Computer Science Rankings 2025

    • timeshighereducation.com
    • itswisss.com
    • +1more
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    Times Higher Education (THE), Computer Science Rankings 2025 [Dataset]. https://www.timeshighereducation.com/world-university-rankings/2025/subject-ranking/computer-science
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    Dataset provided by
    Times Higher Educationhttp://www.timeshighereducation.com/
    Authors
    Times Higher Education (THE)
    Description

    Data on the top universities for Computer Science in 2025.

  13. m

    Dataset Ranking of universities

    • data.mendeley.com
    Updated Jan 24, 2024
    + more versions
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    Dataset Ranking of universities [Dataset]. https://data.mendeley.com/datasets/s8whx5nw78/1
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    Dataset updated
    Jan 24, 2024
    Authors
    Andres Tayupanta
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Databases with information on Latin American universities according to the webometrics ranking.

  14. CWTS Leiden Ranking Open Edition 2023 - Data

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Jan 30, 2024
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    Nees Jan Van Eck; Nees Jan Van Eck (2024). CWTS Leiden Ranking Open Edition 2023 - Data [Dataset]. http://doi.org/10.5281/zenodo.10579113
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    zipAvailable download formats
    Dataset updated
    Jan 30, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nees Jan Van Eck; Nees Jan Van Eck
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data set contains the data used to create the Open Edition of the CWTS Leiden Ranking 2023. The data set includes (1) data about the universities included in the Leiden Ranking Open Edition 2023 and the links between these universities and their affiliated organizations, (2) data about the publications included in the Leiden Ranking Open Edition 2023 and the links between these publications and universities and main fields, (3) indicators at the level of publications, and (4) indicators at the level of universities and main fields.

    The Leiden Ranking Open Edition 2023 is based on the OpenAlex snapshot released on November 21, 2023. The snapshot data is not included in this data set.

    The source code for creating this data set is available in this GitHub repository.

    See this blog post for more information about the Leiden Ranking Open Edition 2023.

    This data set consists of the following tab-delimited files.

    university

    • university_id
    • university
    • university_full_name
    • ror_id
    • ror_name
    • country_code
    • latitude
    • longitude
    • is_mtor_university

    affiliated_organization

    • ror_id
    • ror_name

    university_affiliated_organization

    • university_ror_id
    • relation_type
    • affiliated_organization_ror_id
    • affiliated_organization_weight

    main_field

    • main_field_id
    • main_field

    pub

    • work_id
    • doi
    • pub_year
    • micro_cluster_id

    pub_university

    • work_id
    • university_id
    • weight

    pub_main_field

    • work_id
    • main_field_id
    • weight

    period

    • period_begin_year
    • period_end_year
    • period

    pub_period_impact_indicators

    • work_id
    • period_begin_year
    • cs
    • ncs
    • p_top_1
    • p_top_5
    • p_top_10
    • p_top_50

    pub_collab_indicators

    • work_id
    • p_collab
    • p_int_collab
    • p_industry
    • p_short_dist_collab
    • p_long_dist_collab

    pub_oa_indicators

    • work_id
    • p_oa_unknown
    • p_oa
    • p_gold_oa
    • p_hybrid_oa
    • p_bonze_oa
    • p_green_oa

    university_main_field_period_impact_indicators

    • university_id
    • main_field_id
    • period_begin_year
    • fractional_counting
    • p
    • tcs
    • tncs
    • p_top_1
    • p_top_5
    • p_top_10
    • p_top_50
    • mcs
    • mcs_lb
    • mcs_ub
    • mncs
    • mncs_lb
    • mncs_ub
    • pp_top_1
    • pp_top_1_lb
    • pp_top_1_ub
    • pp_top_5
    • pp_top_5_lb
    • pp_top_5_ub
    • pp_top_10
    • pp_top_10_lb
    • pp_top_10_ub
    • pp_top_50
    • pp_top_50_lb
    • pp_top_50_ub

    university_main_field_period_collab_indicators

    • university_id
    • main_field_id
    • period_begin_year
    • p
    • p_collab
    • p_int_collab
    • p_industry_collab
    • p_short_dist_collab
    • p_long_dist_collab
    • pp_collab
    • pp_collab_lb
    • pp_collab_ub
    • pp_int_collab
    • pp_int_collab_lb
    • pp_int_collab_ub
    • pp_industry_collab
    • pp_industry_collab_lb
    • pp_industry_collab_ub
    • pp_short_dist_collab
    • pp_short_dist_collab_lb
    • pp_short_dist_collab_ub
    • pp_long_dist_collab
    • pp_long_dist_collab_lb
    • pp_long_dist_collab_ub

    university_main_field_period_oa_indicators

    • university_id
    • main_field_id
    • period_begin_year
    • p
    • p_oa_unknown
    • p_oa
    • p_gold_oa
    • p_hybrid_oa
    • p_bronze_oa
    • p_green_oa
    • pp_oa_unknown
    • pp_oa_unknown_lb
    • pp_oa_unknown_ub
    • pp_oa
    • pp_oa_lb
    • pp_oa_ub
    • pp_gold_oa
    • pp_gold_oa_lb
    • pp_gold_oa_ub
    • pp_hybrid_oa
    • pp_hybrid_oa_lb
    • pp_hybrid_oa_ub
    • pp_bronze_oa
    • pp_bronze_oa_lb
    • pp_bronze_oa_ub
    • pp_green_oa
    • pp_green_oa_lb
    • pp_green_oa_ub
  15. f

    Universities (schools) chosen for this study.

    • plos.figshare.com
    xls
    Updated Feb 15, 2024
    + more versions
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    Sandra Boric; Gerhard Reichmann; Christian Schlögl (2024). Universities (schools) chosen for this study. [Dataset]. http://doi.org/10.1371/journal.pone.0295334.t004
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sandra Boric; Gerhard Reichmann; Christian Schlögl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In this article, we discuss possibilities for ranking business schools and analyse the stability of research rankings using different ranking methods. One focus is set on a comparison of publication-based rankings with citation-based rankings. Our considerations and discussions are based on a (small) case study for which we have examined all (six) business schools at public universities in Austria. The innovative aspect of our article is the chosen mix of methods and the explicit comparison of the results of a publication analysis with those of a citation analysis. In addition, we have developed a new indicator to check the stability of the obtained ranking results with regard to the individual business schools. The results show that the ranks of the individual business schools are quite stable. Nevertheless, we found some differences between publication-based and citation-based rankings. In both cases, however, the choice of the data source as well as switching from full to adjusted counting only have little impact on the ranking results. The main contribution of our approach to research in the field of university rankings is that it shows that focusing on a single (overall) indicator should be avoided, as this can easily lead to bias. Instead, different (partial) indicators should be calculated side by side to provide a more complete picture.

  16. d

    Data from: Global network centrality of university rankings

    • dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Jun 9, 2025
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    Weisi Guo; Marco Del Vecchio; Ganna Pogrebna (2025). Global network centrality of university rankings [Dataset]. http://doi.org/10.5061/dryad.fv5mn
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Weisi Guo; Marco Del Vecchio; Ganna Pogrebna
    Time period covered
    Jul 14, 2020
    Description

    Universities and higher education institutions form an integral part of the national infrastructure and prestige. As academic research benefits increasingly from international exchange and cooperation, many universities have increased investment in improving and enabling their global connectivity. Yet, the relationship of university performance and its global physical connectedness has not been explored in detail. We conduct the first large-scale data-driven analysis into whether there is a correlation between university relative ranking performance and its global connectivity via the air transport network. The results show that local access to global hubs (as measured by air transport network betweenness) strongly and positively correlates with the ranking growth (statistical significance in different models ranges between 5% and 1% level). We also showed that the local airport's aggregate flight paths (degree) and capacity (weighted degree) has no effect on university ranking, further...

  17. p

    Masters Elementary School

    • publicschoolreview.com
    json, xml
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    Public School Review, Masters Elementary School [Dataset]. https://www.publicschoolreview.com/masters-elementary-school-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1987 - Dec 31, 2025
    Description

    Historical Dataset of Masters Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1988-2023),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1991-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022)

  18. f

    Business school rankings based on number of publications.

    • figshare.com
    xls
    Updated Feb 15, 2024
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    Sandra Boric; Gerhard Reichmann; Christian Schlögl (2024). Business school rankings based on number of publications. [Dataset]. http://doi.org/10.1371/journal.pone.0295334.t006
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    xlsAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sandra Boric; Gerhard Reichmann; Christian Schlögl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Business school rankings based on number of publications.

  19. p

    The Masters Program

    • publicschoolreview.com
    json, xml
    Updated Jun 6, 2024
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    Public School Review (2024). The Masters Program [Dataset]. https://www.publicschoolreview.com/the-masters-program-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2011 - Dec 31, 2025
    Description

    Historical Dataset of The Masters Program is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2013-2023),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2013-2023),American Indian Student Percentage Comparison Over Years (2013-2023),Asian Student Percentage Comparison Over Years (2013-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2013-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (2013-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2013-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2021)

  20. Brazil: leading universities 2025, by academic reputation

    • statista.com
    Updated Jul 1, 2025
    + more versions
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    Statista (2025). Brazil: leading universities 2025, by academic reputation [Dataset]. https://www.statista.com/statistics/703866/leading-universities-brazil/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Based on the academic reputation scores received on the Quacquarelli Symonds (QS) World University Rankings 2026, the Universidade de São Paulo (USP) ranked first in Brazil, obtaining a score of **** points for academic reputation. This university also ranked second among leading universities in Latin America in 2025. The majority of institutions featured in Brazil's rank are public universities.

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Statista (2025). World university rankings by Times Higher Education 2024/2025 [Dataset]. https://www.statista.com/statistics/226681/world-university-rankings-by-times-higher-education/
Organization logo

World university rankings by Times Higher Education 2024/2025

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 5, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2025
Area covered
Worldwide
Description

For the academic year of 2024/2025, the University of Oxford was ranked as the best university in the world, with an overall score of 98.5 according the Times Higher Education. The Massachusetts Institute of Technology and Harvard University followed behind. A high number of the leading universities in the world are located in the United States, with the ETH Zürich in Switzerland the highest ranked neither in the United Kingdom nor the U.S.

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