Silvia De Monte
Impact in
- Safety Research top 0.5%
- Experimental Behavioral Economics Studies
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- Evolutionary Game Theory and Cooperation
Papers in
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- Evolutionary Game Theory and Cooperation 19
- Genetics 15
- Evolution and Genetic Dynamics 14
- Co-authors
- Karl Sigmund (3 shared papers)Christoph Hauert (3 shared papers)Josef Hofbauer (3 shared papers)Francesco d’Ovidio (14 shared papers)Marina Lévy (3 shared papers)S. Alvain (2 shared papers)Sune Danø (2 shared papers)Preben Graae Sørensen (2 shared papers)
In The Last Decade
Silvia De Monte
40 papers receiving 2.2k citations
Silvia De Monte's Hit Papers
Peers
Comparison fields: 5 of 117
- Safety Research 488
- Sociology and Political Science 1.3k
- Oceanography 354
- Genetics 764
- Statistical and Nonlinear Physics 328
Countries citing papers authored by Silvia De Monte
This map shows the geographic impact of Silvia De Monte'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 Silvia De Monte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia De Monte more than expected).
Fields of papers citing papers by Silvia De Monte
This network shows the impact of papers produced by Silvia De Monte. 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 Silvia De Monte. The network helps show where Silvia De Monte may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia De Monte, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Volunteering as Red Queen Mechanism for Cooperation in Public Goods Games Hit paper breakdown → | 2002 | 828 |
| 2 | 2002 | 284 | |
| 3 | 2010 | 238 | |
| 4 | 2007 | 173 | |
| 5 | 2013 | 80 | |
| 6 | 2003 | 61 | |
| 7 | 2012 | 49 | |
| 8 | 2020 | 48 | |
| 9 | 2015 | 48 | |
| 10 | 2001 | 46 | |
| 11 | 2018 | 43 | |
| 12 | 2014 | 36 | |
| 13 | 2019 | 35 | |
| 14 | 2012 | 31 | |
| 15 | 2014 | 31 | |
| 16 | 2013 | 30 | |
| 17 | 2015 | 27 | |
| 18 | 2004 | 21 | |
| 19 | 2024 | 20 | |
| 20 | 2014 | 19 |
About Silvia De Monte
Silvia De Monte is a scholar working on Sociology and Political Science, Genetics, Global and Planetary Change, Computer Networks and Communications and Ecology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (19 papers), Evolution and Genetic Dynamics (14 papers), Ecosystem dynamics and resilience (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Marine and coastal ecosystems (6 papers), Isotope Analysis in Ecology (4 papers), Slime Mold and Myxomycetes Research (4 papers) and stochastic dynamics and bifurcation (4 papers). The work is most often cited by research in Safety Research (488 citations), Sociology and Political Science (1.3k citations), Oceanography (354 citations), Genetics (764 citations) and Statistical and Nonlinear Physics (328 citations). Silvia De Monte has collaborated with scholars based in France, Germany and Denmark. Frequent co-authors include Karl Sigmund, Christoph Hauert, Josef Hofbauer, Francesco d’Ovidio, Marina Lévy, S. Alvain, Sune Danø, Preben Graae Sørensen, Paul B. Rainey and Yves Dandonneau. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, Europhysics Letters (EPL), Journal of Theoretical Biology and Physical Review Letters.
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.