Michael Yeomans
Impact in
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- Online Learning and Analytics
- General Decision Sciences top 10%
Papers in
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- Social and Intergroup Psychology 3
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- Language, Metaphor, and Cognition 3
- Co-authors
- Jon Kleinberg (1 shared paper)Sendhil Mullainathan (1 shared paper)Anuj Shah (1 shared paper)Francesca Gino (5 shared papers)Julia A. Minson (5 shared papers)Justin Reich (5 shared papers)Alison Wood Brooks (4 shared papers)Karen Huang (2 shared papers)
- Journals
- Management Science (2 papers)The R Journal (2 papers)Organizational Behavior and Human Decision Processes (2 papers)International Journal of Artificial Intelligence in Education (1 paper)Journal of Personality and Social Psychology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Yeomans
22 papers receiving 805 citations
Michael Yeomans's Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Science Applications 135
- General Decision Sciences 39
- Safety Research 157
- Health Informatics 25
- Communication 61
Countries citing papers authored by Michael Yeomans
This map shows the geographic impact of Michael Yeomans'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 Michael Yeomans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yeomans more than expected).
Fields of papers citing papers by Michael Yeomans
This network shows the impact of papers produced by Michael Yeomans. 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 Michael Yeomans. The network helps show where Michael Yeomans may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Yeomans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Making sense of recommendations Hit paper breakdown → | 2019 | 259 |
| 2 | 2017 | 124 | |
| 3 | 2020 | 100 | |
| 4 | 2020 | 76 | |
| 5 | 2016 | 61 | |
| 6 | 2019 | 38 | |
| 7 | 2021 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2019 | 35 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 1996 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2017 | 1 | |
| 19 | Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation | 2020 | 1 |
| 20 | It Doesn't Hurt to Ask | 2017 | 1 |
About Michael Yeomans
Michael Yeomans is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology, Artificial Intelligence, Literature and Literary Theory and Safety Research, having authored 26 papers that have together received 845 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Social Media and Politics (3 papers), Experimental Behavioral Economics Studies (3 papers), Language, Metaphor, and Cognition (3 papers), Language, Discourse, Communication Strategies (3 papers), Computational and Text Analysis Methods (3 papers), Social and Intergroup Psychology (3 papers) and Discourse Analysis in Language Studies (3 papers). The work is most often cited by research in Computer Science Applications (135 citations), General Decision Sciences (39 citations), Safety Research (157 citations), Health Informatics (25 citations) and Communication (61 citations). Michael Yeomans has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jon Kleinberg, Sendhil Mullainathan, Anuj Shah, Francesca Gino, Julia A. Minson, Justin Reich, Alison Wood Brooks, Karen Huang, Dustin Tingley and Hanne K. Collins. Their work appears in journals such as Management Science, The R Journal, Organizational Behavior and Human Decision Processes, International Journal of Artificial Intelligence in Education and Journal of Personality and Social Psychology.
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.