Alan Novaes Tump
Impact in
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
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- Misinformation and Its Impacts 4
- Evolutionary Game Theory and Cooperation 3
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- Opinion Dynamics and Social Influence 6
- Complex Network Analysis Techniques 3
- Co-authors
- Ralf H. J. M. Kurvers (11 shared papers)Timothy J. Pleskac (2 shared papers)Jens Krause (3 shared papers)Max Wolf (2 shared papers)Stefan M. Herzog (2 shared papers)Philipp Lorenz-Spreen (2 shared papers)Paweł Romańczuk (2 shared papers)Lucas Molleman (2 shared papers)
- Journals
- Proceedings of the Royal Society B Biological Sciences (2 papers)Scientific Reports (2 papers)Journal of Animal Ecology (1 paper)PLoS Computational Biology (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Alan Novaes Tump
11 papers receiving 188 citations
Peers
Comparison fields: 5 of 64
- General Decision Sciences 11
- Statistical and Nonlinear Physics 56
- Safety Research 24
- Applied Psychology 13
- Sociology and Political Science 105
Countries citing papers authored by Alan Novaes Tump
This map shows the geographic impact of Alan Novaes Tump'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 Alan Novaes Tump with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Novaes Tump more than expected).
Fields of papers citing papers by Alan Novaes Tump
This network shows the impact of papers produced by Alan Novaes Tump. 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 Alan Novaes Tump. The network helps show where Alan Novaes Tump may publish in the future.
Co-authors
The 16 scholars most cited alongside Alan Novaes Tump, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2024 | 23 | |
| 3 | 2020 | 23 | |
| 4 | 2018 | 22 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 7 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 |
About Alan Novaes Tump
Alan Novaes Tump is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Ecology, Evolution, Behavior and Systematics, Communication and Social Psychology, having authored 11 papers that have together received 190 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (6 papers), Misinformation and Its Impacts (4 papers), Complex Network Analysis Techniques (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Animal Behavior and Reproduction (3 papers), Experimental Behavioral Economics Studies (2 papers), Primate Behavior and Ecology (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in General Decision Sciences (11 citations), Statistical and Nonlinear Physics (56 citations), Safety Research (24 citations), Applied Psychology (13 citations) and Sociology and Political Science (105 citations). Alan Novaes Tump has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Ralf H. J. M. Kurvers, Timothy J. Pleskac, Jens Krause, Max Wolf, Stefan M. Herzog, Philipp Lorenz-Spreen, Paweł Romańczuk, Lucas Molleman, Indar W. Ramnarine and Lysanne Snijders. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Scientific Reports, Journal of Animal Ecology, PLoS Computational Biology and Journal of The Royal Society Interface.
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.