Robert M. Seymour
- General Decision Sciences top 10%
- Aging top 10%
- Oceanography top 5%
- Ecology top 5%
- Coral and Marine Ecosystems Studies 6
- Global and Planetary Change top 10%
- Ecosystem dynamics and resilience 6
- Marine and fisheries research 6
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- Evolutionary Game Theory and Cooperation 9
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- Gene Regulatory Network Analysis 7
- Bioinformatics and Genomic Networks 6
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- Evolution and Genetic Dynamics 7
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- Game Theory and Applications 6
- Co-authors
- Peter D. SozouAndrew PomiankowskiMichael A. WilsonBrian E. HendersonTak FungCraig R. JohnsonMartin BerrySamuel J. Tazzyman
- Journals
- Proceedings of the Royal Society B Biological Sciences (8 papers)Journal of Theoretical Biology (5 papers)Mathematical Medicine and Biology A Journal of the IMA (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Robert M. Seymour
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 160
- General Decision Sciences 35
- Aging 29
- Oceanography 165
- Ecology 297
- Global and Planetary Change 234
Countries citing papers authored by Robert M. Seymour
This map shows the geographic impact of Robert M. Seymour'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 Robert M. Seymour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Seymour more than expected).
Fields of papers citing papers by Robert M. Seymour
This network shows the impact of papers produced by Robert M. Seymour. 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 Robert M. Seymour. The network helps show where Robert M. Seymour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert M. Seymour, 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 | 2017 | 86 | |
| 2 | 2013 | 11 | |
| 3 | 2012 | 3 | |
| 4 | 2012 | 8 | |
| 5 | 2010 | 57 | |
| 6 | 2010 | 5 | |
| 7 | 2010 | 116 | |
| 8 | 2009 | 67 | |
| 9 | 2008 | 24 | |
| 10 | 2008 | 2 | |
| 11 | 2007 | 16 | |
| 12 | 2006 | 2 | |
| 13 | 2005 | 4 | |
| 14 | 2004 | 52 | |
| 15 | The cytokine network in infectious diseases | 1998 | 1 |
| 16 | 1995 | 3 | |
| 17 | Cytokine activity after allogeneic bone marrow transplantation. IV. Production of mRNA for IL-3 and GM-CSF by mitogen-stimulated circulating mononuclear cells. | 1992 | 5 |
| 18 | 1987 | 3 | |
| 19 | 1980 | 0 | |
| 20 | 1980 | 1 |
About Robert M. Seymour
Robert M. Seymour is a scholar working on Theoretical Computer Science, Aging and Modeling and Simulation, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (9 papers), Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (7 papers), Game Theory and Applications (6 papers), Coral and Marine Ecosystems Studies (6 papers), Ecosystem dynamics and resilience (6 papers), Marine and fisheries research (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in General Decision Sciences (35 citations), Aging (29 citations) and Oceanography (165 citations). Robert M. Seymour has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Peter D. Sozou, Andrew Pomiankowski, Michael A. Wilson, Brian E. Henderson, Tak Fung, Craig R. Johnson, Martin Berry, Samuel J. Tazzyman, Zena Hadjivasiliou and Nick Lane. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Theoretical Biology, Mathematical Medicine and Biology A Journal of the IMA, Journal of The Royal Society Interface and Mathematical and Computer Modelling.
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.