Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.
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An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.
This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List
The data is collected by scraping and then it was cleaned, details of which can be found in HERE.
Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.
Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.
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reddit.com is ranked #5 in US with 4.66B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!
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This is the data repository for the paper Anytime Ranking on Document-Ordered Indexes by Joel Mackenzie, Matthias Petri, and Alistair Moffat. This paper appeared in ACM TOIS in 2021.
In November 2024, WhatsApp.com was the most popular website in Spain by time per visit, with an average session length of approximately ** minutes and ** seconds. YouTube.com ranked second, with an average of ** minutes and ** seconds per visit. Despite being the leading website by total visits and unique visitors in the country, Google.com ranked fourth in engagement time, with ** minutes and ** seconds per session.
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AS Rank is CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.
ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers.
Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric..
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Designed and produced by the World Wide Web Foundation, the Web Index is the world’s first measure of the World Wide Web’s contribution to social, economic and political progress in countries across the world. http://thewebindex.org/about/ Scores are given in the areas of universal access; freedom and openness; relevant content; and empowerment. First released in 2012, the 2014-15 Index has been expanded and refined to include a total of 86 countries and features an enhanced data set, particularly in the areas of gender, Open Data, privacy rights and censorship. The Index combines existing secondary data with new primary data derived from an evidence-based expert assessment survey. The Web Index provides an objective and robust evidence base to inform public dialogue on the steps needed for societies to leverage greater value from the Web. It is published annually and resources permitting, it will continue to be expanded to cover more countries in the coming years. It will eventually allow for comparisons of trends over time and the benchmarking of performance across countries, continuously improving our understanding of the Web’s value for humanity.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization"
Abstract of the article:
This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research.
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).
In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.
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alexa.com is ranked #34662 in MX with 62.5K Traffic. Categories: Advertising and Marketing, Computer Software and Development, Information Technology, Online Services. Learn more about website traffic, market share, and more!
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This research investigated whether a university ranking system called Eduroute could provide useful information regarding the usability of universities' websites. A comparison was conducted between the results obtained by Eduroute regarding the ranking of the top three universities in Jordan, and the results obtained by the heuristic evaluation method regarding the usability of the top three universities' websites. Before employing the heuristic evaluation method, two steps were taken: Investigating the most frequently visited pages on a university's website from the viewpoint of 237 students, and developing a set of comprehensive heuristics specific to educational websites. Then, five heuristic evaluators were selected and asked to visit all the pages determined by the 237 students using the developed heuristics while evaluating each website. The results proved that the ranking of the three universities at Eduroute was an indicator regarding the overall usability of the sites; the first ranked university at Eduroute had the lowest number of usability problems identified by the evaluators, while the least ranked university had the largest number of usability problems. The heuristic evaluators also identified fourteen common usability problems on the three tested websites related to navigation, design, content, and ease of use and communication.
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This repository contains performance measures of dataset ranking models.- Usage: from Results/src run Python results m1 m2 ...such that mi can be omitted, or be any element of the list of model labels ['bayesian-12C', 'bayesian-5L', 'bayesian-5L12C', 'cos-12C', 'cos-5L', 'cos-5L5C', 'j48-12C', 'j48-5L', 'j48-5L5C', 'jrip-12C', 'jrip-5L', 'jrip-5L5C', 'sn-12C', 'sn-5L', 'sn-5L12C']. Results of selected models will be plotted in a 2D line plot. If no model is provided all models will be listed.
A 2021 survey among Italian digital professionals found that the optimization of mobile experience and user experience was considered the most relevant factor by over ** percent of the respondents, while around ** percent of the professionals thought that the relationship between search intent of the users and the website's content was becoming more relevant.
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x-ranking.com is ranked #121160 in JP with 16.54K Traffic. Categories: . Learn more about website traffic, market share, and more!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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TRANSPARENT RANKING: All Repositories by Google Scholar.
Incluye Top 10 repositorios de Colombia 2018 y 2019
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual overall school rank from 2011 to 2023 for Baker Web Academy
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sot-web.com is ranked #19412 in JP with 127.48K Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!
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web.snapchat.com is ranked #69 in US with 8.82M Traffic. Categories: . Learn more about website traffic, market share, and more!
Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.