Michael Yeomans
- Sociology and Political Science top 5%
- Artificial Intelligence top 5%
- Safety Research top 5%
- Social Psychology top 10%
- Computer Science Applications top 2%
- Co-authors
- Sendhil MullainathanAnuj ShahJon KleinbergJulia A. MinsonFrancesca GinoJustin ReichAlison Wood BrooksDustin Tingley
- Topics
- Online Learning and Analytics (4 papers)Social Media and Politics (3 papers)Experimental Behavioral Economics Studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Yeomans
22 papers receiving 805 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Sociology and Political Science 270
- Artificial Intelligence 233
- Safety Research 157
- Social Psychology 155
- Computer Science Applications 135
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-authorship network of co-authors of Michael Yeomans
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Yeomans. A scholar is included among the top collaborators of Michael Yeomans based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Yeomans. Michael Yeomans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 37 | |
| 6 | 1 | |
| 7 | Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation | 1 |
| 8 | 76 | |
| 9 | 3 | |
| 10 | 38 | |
| 11 | 35 | |
| 12 | Making sense of recommendationsbreakdown → | 259 |
| 13 | 11 | |
| 14 | 124 | |
| 15 | 1 | |
| 16 | It Doesn't Hurt to Ask | 1 |
| 17 | 6 | |
| 18 | 37 | |
| 19 | 61 | |
| 20 | 7 |
About Michael Yeomans
Michael Yeomans is a scholar working on General Social Sciences, Computer Science Applications and Experimental and Cognitive Psychology, 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) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in Computer Science Applications (135 citations), General Decision Sciences (39 citations) and Safety Research (157 citations). Michael Yeomans has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sendhil Mullainathan, Anuj Shah, Jon Kleinberg, Julia A. Minson, Francesca Gino, Justin Reich, Alison Wood Brooks, Dustin Tingley, Karen Huang and Hanne K. Collins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and SHILAP Revista de lepidopterología.
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.