Jonathan Newton
Impact in
- Safety Research top 1%
- Experimental Behavioral Economics Studies
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- Game Theory and Applications
Papers in
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- Game Theory and Applications 26
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- Game Theory and Voting Systems 13
- Economic theories and models 9
- Economic Policies and Impacts 2
- Co-authors
- Simon D. Angus (7 shared papers)Sung‐Ha Hwang (3 shared papers)Heinrich H. Nax (4 shared papers)Wooyoung Lim (2 shared papers)Benedikt Herrmann (1 shared paper)Andreas Kontoleon (1 shared paper)Andrew Wait (2 shared papers)David Ubilava (2 shared papers)
In The Last Decade
Jonathan Newton
42 papers receiving 576 citations
Peers
Comparison fields: 5 of 72
- Safety Research 279
- Management Science and Operations Research 357
- General Decision Sciences 21
- Economics and Econometrics 193
- Statistical and Nonlinear Physics 84
Countries citing papers authored by Jonathan Newton
This map shows the geographic impact of Jonathan Newton'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 Jonathan Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Newton more than expected).
Fields of papers citing papers by Jonathan Newton
This network shows the impact of papers produced by Jonathan Newton. 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 Jonathan Newton. The network helps show where Jonathan Newton may publish in the future.
Co-authors
The 18 scholars most cited alongside Jonathan Newton, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 149 | |
| 2 | 2012 | 44 | |
| 3 | 2014 | 36 | |
| 4 | 2011 | 35 | |
| 5 | 2015 | 31 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2014 | 24 | |
| 10 | 2015 | 22 | |
| 11 | 2016 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2014 | 5 |
About Jonathan Newton
Jonathan Newton is a scholar working on Management Science and Operations Research, Economics and Econometrics, Safety Research, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 46 papers that have together received 594 indexed citations. Recurring topics across this work include Game Theory and Applications (26 papers), Experimental Behavioral Economics Studies (14 papers), Game Theory and Voting Systems (13 papers), Evolutionary Game Theory and Cooperation (13 papers), Economic theories and models (9 papers), Opinion Dynamics and Social Influence (7 papers), Culture, Economy, and Development Studies (4 papers) and Economic Policies and Impacts (2 papers). The work is most often cited by research in Safety Research (279 citations), Management Science and Operations Research (357 citations), General Decision Sciences (21 citations), Economics and Econometrics (193 citations) and Statistical and Nonlinear Physics (84 citations). Jonathan Newton has collaborated with scholars based in Japan, Australia and Slovakia. Frequent co-authors include Simon D. Angus, Sung‐Ha Hwang, Heinrich H. Nax, Wooyoung Lim, Benedikt Herrmann, Andreas Kontoleon, Andrew Wait, David Ubilava, Kadir Atalay and William H. Sandholm. Their work appears in journals such as Games and Economic Behavior, Journal of Economic Theory, PLoS Computational Biology, Economics Letters and Economic Theory.
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.