Matthew J. Silk
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Social Psychology top 5%
- Genetics top 10%
- Sociology and Political Science top 10%
- Co-authors
- Darren P. CroftDavid J. HodgsonRobbie A. McDonaldRichard J. DelahayStuart BearhopMason A. PorterNoa Pinter‐WollmanMike Boots
- Topics
- Wildlife Ecology and Conservation (17 papers)Evolutionary Game Theory and Cooperation (17 papers)Animal Disease Management and Epidemiology (16 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Matthew J. Silk
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 137
- Ecology 561
- Ecology, Evolution, Behavior and Systematics 515
- Social Psychology 399
- Genetics 259
- Sociology and Political Science 235
Countries citing papers authored by Matthew J. Silk
This map shows the geographic impact of Matthew J. Silk'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 Matthew J. Silk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Silk more than expected).
Fields of papers citing papers by Matthew J. Silk
This network shows the impact of papers produced by Matthew J. Silk. 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 Matthew J. Silk. The network helps show where Matthew J. Silk may publish in the future.
Co-authorship network of co-authors of Matthew J. Silk
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Silk. A scholar is included among the top collaborators of Matthew J. Silk 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 Matthew J. Silk. Matthew J. Silk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 57 | |
| 14 | 8 | |
| 15 | 33 | |
| 16 | 19 | |
| 17 | 7 | |
| 18 | 21 | |
| 19 | Novel insights into animal sociality from multilayer networks | 4 |
| 20 | 49 |
About Matthew J. Silk
Matthew J. Silk is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Ecological Modeling, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (17 papers), Evolutionary Game Theory and Cooperation (17 papers) and Animal Disease Management and Epidemiology (16 papers). The work is most often cited by research in Developmental Biology (155 citations), Ecological Modeling (115 citations) and Ecology, Evolution, Behavior and Systematics (515 citations). Matthew J. Silk has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Darren P. Croft, David J. Hodgson, Robbie A. McDonald, Richard J. Delahay, Stuart Bearhop, Mason A. Porter, Noa Pinter‐Wollman, Mike Boots, Nicola Weber and Tom Tregenza. Their work appears in journals such as Nature Communications, PLoS ONE and Trends in Ecology & Evolution.
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.