Ben Green

56 papers receiving 1.4k citations

Peers

Ben Green
Comparison fields: 5 of 160
  • Health Informatics 86
  • Safety Research 410
  • Discrete Mathematics and Combinatorics 155
  • Algebra and Number Theory 159
  • Computer Science Applications 83
Replace Tobias Schröder with:
Tobias Schröder Germany
Andreas Klein Germany
Ziv Epstein United States
Hsin‐Kai Wu Taiwan
Edmond Awad United Kingdom
Aylin Caliskan United States
Chenhao Tan United States
Q. Vera Liao United States
Wendell Wallach United States
Kewen Wu China
Ben Green relative to Tobias Schröder Germany Tobias Schröder's profile →
Citations per field
00.5×20×40×51.7×
Tobias Schröder · 1×
Citations per year

Countries citing papers authored by Ben Green

Since Specialization
Citations

This map shows the geographic impact of Ben Green's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Green more than expected).

Fields of papers citing papers by Ben Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Green. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Green. The network helps show where Ben Green may publish in the future.

Co-authors

The 25 scholars most cited alongside Ben Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Green Line = papers co-authored together Ben Green links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019183
2 2019140
3 2010123
4 2020102
5 201980
6 200762
7 202161
8 200558
9 202057
10 202149
11 200646
12
The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future
201945
13
The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning
201838
14 199932
15 202029
16 200428
17 202024
18 201223
19 202123
20 199720

About Ben Green

Ben Green is a scholar working on Information Systems, Sociology and Political Science, Safety Research, Political Science and International Relations and Education, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Education and Society (12 papers), Ethics and Social Impacts of AI (10 papers), Limits and Structures in Graph Theory (3 papers), Higher Education Practises and Engagement (3 papers), Global Education and Multiculturalism (3 papers), Blockchain Technology Applications and Security (3 papers), Schizophrenia research and treatment (3 papers) and Analytic Number Theory Research (3 papers). The work is most often cited by research in Health Informatics (86 citations), Safety Research (410 citations), Discrete Mathematics and Combinatorics (155 citations), Algebra and Number Theory (159 citations) and Computer Science Applications (83 citations). Ben Green has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yiling Chen, Terence Tao, Michael A. Peters, Marco Cinnirella, Michael R. Wisnom, Fabrice Pierron, Lily Hu, Stephanie Hollings, Peter J. Danaher and Sarah Hayes. Their work appears in journals such as Postdigital Science and Education, Educational Philosophy and Theory, Current Medical Research and Opinion, Annals of Mathematics and The Journal of Southern History.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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