About this Dataset

Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top Economics PhD Programs based on alumni productivity.

Category

Social Sciences

Keywords

economics phd programs,best phd programs,best economics phd programs

Row Count

1491

Price

Free

Descriptive data for the ranking criteria of the 198 unique PhD applications and risk of withdrawing from PhD.

Important Factors to Enterprises in Employing PHD Qualified Researchers (%) by Sector of Activity, Year, Factor and Ranking

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Important Factors to Enterprises Hampering the Employment of more PHD Researchers (%) by Nationality of Ownership, Year, Factor and Ranking

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Data on the top universities for Physical Sciences in 2025, including disciplines such as Chemistry, Geology, and Physics & Astronomy.

Data on the top universities for Computer Science in 2025.

This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de.

The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table.

Level: 'lic' for Licentiate theses or 'phd' for PhD theses

Year: The year of publication of the thesis

Included: The total number of papers included in the compilation-style thesis.

Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them.

IncludedPublished: The amount of included papers that are published or accepted for publication.

IncludedSubmitted: The amount of included papers that in submission/under review.

IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals.

IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals.

IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade).

IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well.

IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports).

IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other).

ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other).

ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).

Data on the top universities for Business and Economics in 2025, including disciplines such as Accounting and Finance, Business Management, and Economics.

Top 300 Asian Universities - QS Rankings 2024

This dataset includes detailed rankings and performance metrics of the Top 300 Asian Universities based on the QS Rankings for 2024. The data provides rich insights into the academic, research, and international standing of leading institutions across Asia.

Dataset Features:

Rank & Ordinal Rank: Position of the university in the rankings. University Name: Name of the institution. Overall Score: Total score achieved based on QS methodology. City: City where the university is located. Country: Country where the university is located.

Performance Metrics:

Citations per Paper: Research impact based on citations. Papers per Faculty: Academic output per faculty member. Academic Reputation: Perception of academic quality. Employer Reputation: Recognition by employers globally. Faculty Student Ratio: Ratio of faculty to students. Staff with PhD: Percentage of academic staff holding a PhD. International Research Center: Collaboration in research centers. International Students: Proportion of students from abroad. Outbound Exchange & Inbound Exchange: Student exchange data. International Faculty: Proportion of faculty members from other countries.

Potential Uses of the Dataset:

• Analyze trends in academic and research performance of Asian universities.
• Perform comparisons of universities across countries and regions.
• Visualize metrics like research impact, faculty diversity, and international reputation.
• Build machine learning models for ranking predictions or analysis.

Source:

QS Rankings 2024 (publicly available ranking data for educational purposes).

Summary statistics for ranking and placement averages for Anthropology programs listed in S1 Table.

Observed, meritocratic, and random allocation to program level (BA, MA, NRC-bottom-half PhD, NRC-top-half PhD) by quartiles (“qtl”) of h and hIann. 1.

Precocity and career bibliographic measures (mean, standard deviation [s.d.]) by program level for PhD year < 2002. 1.

We study the research productivity of new graduates from North American PhD programs in economics from 1986 to 2000. We find that research productivity drops off very quickly with class rank at all departments, and that the rank of the graduate departments themselves provides a surprisingly poor prediction of future research success. For example, at the top ten departments as a group, the median graduate has fewer than 0.03 American Economic Review (AER)-equivalent publications at year six after graduation, an untenurable record almost anywhere. We also find that PhD graduates of equal percentile rank from certain lower-ranked departments have stronger publication records than their counterparts at higher-ranked departments. In our data, for example, Carnegie Mellon's graduates at the 85th percentile of year-six research productivity outperform 85th percentile graduates of the University of Chicago, the University of Pennsylvania, Stanford, and Berkeley. These results suggest that even the top departments are not doing a very good job of training the great majority of their students to be successful research economists. Hiring committees may find these results helpful when trying to balance class rank and place of graduate in evaluating job candidates, and current graduate students may wish to re-evaluate their academic strategies in light of these findings.

Trimmed-sample productivity means, overall and by specified cohorts of professional age (years since PhD).

This series of experiments is explicitly focused on listeners’ ability to detect change in timbre or sound, rather than differentiating different sounds or sound identities from one another.

The dataset includes auditory stimuli from the experiments, example sounds of experiment results, R and Matlab code for the utilised data analysis, MaxMSP code for running the experiments and a soundfile for the experimental result of research-led practice.

Available downloads:

• Exp01.zip – max routine used for experiment 1, including executable max file (“START HERE – Experiment01.maxpat”), stimuli folder (“Stimuli07”), dummy stimuli (“nullstimuli”) and participant motivating reward pictures (“pictures”)
• Exp01–Analysis.zip – Archive, containing the raw data (“data09.csv”) as well as the Matlab PT plotting script (“means_plot_overall.m”) and musicianship comparison script (“muso_nonmuso.m”) (requires “errorbars_groups” matlab function)
• Exp02.zip – max routine used for experiment 2, including executable max file (“START HERE – Experiment02.maxpat”), stimuli folder (“MatStims”), dummy stimuli (“NullStims”) and participant motivating reward pictures (“pictures”)
• Exp02–Analysis.zip - Archive, containing the raw data (“Exp02data.csv”) as well as the Matlab PT plotting script (“TT-Script.m”) (requires “errorbars_groups” matlab function)
• Exp03.zip – max routine used for experiment 3, including executable max file (“START HERE – Experiment 3.maxpat”) and included synthesiser- (MIDI) and drum-loops (audio)
• Exp03–Analysis.zip – Archive, containing the raw rating data (Ratings.csv + MyMixExp03.csv) as well as the Matlab plotting script (exp3rat.m) (requires “errorbars_groups” matlab function)
• Exp04.zip – max routine used for experiment 4, including executable max file (“START HERE – Experiment 4.maxpat”), synthesiser- (MIDI) and drum-loops (audio) and mix-ranking comparison songs
• Exp 4–Analysis.zip – Archive, containing the raw ranking+FX data (“RatingsExp4.csv”, “MyMixExp04.csv”, “GMSIExp4.csv”, “LongSetExp04.csv”, “longdesc.csv”, “fulldesc.csv”) and the R analysis script (“Exp4.R”)
• Exp03_04–Songs.zip – Sawtooth-Mix and Expert-Mix examples of the songs featured in experiment 3 and 4
• GrinDrone.wav – musical piece, focus part of chapter 10, research-led practice

Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles.

In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.

Dataset Description – NIRF 2025: Top 100 Engineering Colleges in India 📘 Overview

This dataset contains the Top 100 Engineering Institutions in India as ranked by the National Institutional Ranking Framework (NIRF) 2025, under the Engineering category. It includes each institution’s scores across multiple performance parameters such as Teaching, Research, Graduation Outcomes, and Perception, which collectively determine their national ranking.

🏛️ Source

Data has been compiled from the official NIRF India website: 🔗 https://www.nirfindia.org

All information belongs to the Ministry of Education, Government of India, under NIRF’s public ranking framework.

📊 About the Data

Each row represents one institution, with detailed scores for different evaluation parameters used by NIRF. The dataset focuses exclusively on the Top 100 Engineering Institutions for the year 2025.

Column Description College Name Name of the engineering institution. SS Student Strength – Total number of students including Ph.D. students (weighted score). FSR Faculty–Student Ratio – Weighted measure of faculty count per student. FQE Faculty Qualification & Experience – Score based on qualifications and experience of faculty members. FRU Financial Resources and Utilization – Measures efficient use of financial resources. PU Publications – Research publication count and quality. QP Quality of Publications – Citation and impact-based quality measures. IPR Intellectual Property Rights – Patents published or granted. FPPP Footprint of Projects and Professional Practice – Consultancy and project funding from industry and other sources. GPH Graduation Outcomes – Higher Studies – Percentage of graduates pursuing higher education. GUE Graduation Outcomes – Employment – Percentage of students placed in jobs. MS Median Salary – Median salary of placed students. GPHD Graduation Outcomes – PhD Students – Number of PhD students graduating. Rank NIRF Rank (1 = best). 🎯 Use Cases

This dataset is useful for:

Analyzing trends in institutional performance.

Building regression or ranking prediction models.

Visualizing correlations between NIRF metrics (e.g., research output vs. rank).

Educational or academic benchmarking.