Robert M. Seymour
- Molecular Biology
- Ecology top 5%
- Global and Planetary Change top 10%
- Genetics top 10%
- Oceanography top 5%
- Co-authors
- Peter D. SozouAndrew PomiankowskiMichael A. WilsonBrian E. HendersonTak FungCraig R. JohnsonMartin BerrySamuel J. Tazzyman
- Topics
- Evolutionary Game Theory and Cooperation (9 papers)Gene Regulatory Network Analysis (7 papers)Evolution and Genetic Dynamics (7 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
- Molecular Biology 304
- Ecology 297
- Global and Planetary Change 234
- Genetics 191
- Oceanography 165
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 of co-authors of Robert M. Seymour
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Seymour. A scholar is included among the top collaborators of Robert M. Seymour 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 Robert M. Seymour. Robert M. Seymour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 57 | |
| 6 | 5 | |
| 7 | 116 | |
| 8 | 67 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 52 | |
| 15 | The cytokine network in infectious diseases | 1 |
| 16 | 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. | 5 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 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) and Evolution and Genetic Dynamics (7 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 SHILAP Revista de lepidopterología, PLoS ONE and Ecology.
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.