Peter M. Potts

1.5k total citations
17 papers, 1.2k citations indexed

About

Peter M. Potts is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Peter M. Potts has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Ecological Modeling. Recurrent topics in Peter M. Potts's work include Avian ecology and behavior (14 papers), Animal Behavior and Reproduction (9 papers) and Species Distribution and Climate Change (8 papers). Peter M. Potts is often cited by papers focused on Avian ecology and behavior (14 papers), Animal Behavior and Reproduction (9 papers) and Species Distribution and Climate Change (8 papers). Peter M. Potts collaborates with scholars based in United Kingdom, Iceland and Portugal. Peter M. Potts's co-authors include Tómas G. Gunnarsson, Jennifer A. Gill, William J. Sutherland, José A. Alves, Philip W. Atkinson, Graham F. Appleton, Ken Norris, Jason Newton, Guillaume Gélinaud and Guðmundur A. Guðmundsson and has published in prestigious journals such as Nature, Ecology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Peter M. Potts

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter M. Potts United Kingdom 14 1.1k 390 349 261 172 17 1.2k
Ben J. Koks Netherlands 14 898 0.9× 318 0.8× 282 0.8× 209 0.8× 141 0.8× 25 1.0k
Silke Nebel Canada 17 831 0.8× 330 0.8× 178 0.5× 201 0.8× 137 0.8× 30 983
Christopher M. Tonra United States 16 923 0.9× 342 0.9× 269 0.8× 221 0.8× 138 0.8× 47 1.1k
Rosemarie Kentie Netherlands 17 664 0.6× 243 0.6× 193 0.6× 195 0.7× 133 0.8× 33 776
John H. Marchant United Kingdom 9 798 0.8× 194 0.5× 228 0.7× 364 1.4× 126 0.7× 18 963
Chris M. Hewson United Kingdom 17 1.0k 1.0× 269 0.7× 462 1.3× 362 1.4× 139 0.8× 34 1.2k
Angela D. Anders United States 13 1.4k 1.3× 321 0.8× 391 1.1× 411 1.6× 268 1.6× 16 1.5k
Jared D. Wolfe United States 20 786 0.7× 391 1.0× 331 0.9× 414 1.6× 154 0.9× 59 1.0k
Lennart Karlsson Sweden 11 761 0.7× 280 0.7× 367 1.1× 207 0.8× 183 1.1× 13 902
Nils Kjellén Sweden 18 1.2k 1.1× 469 1.2× 321 0.9× 275 1.1× 139 0.8× 27 1.3k

Countries citing papers authored by Peter M. Potts

Since Specialization
Citations

This map shows the geographic impact of Peter M. Potts'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 Peter M. Potts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Potts more than expected).

Fields of papers citing papers by Peter M. Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Potts. 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 Peter M. Potts. The network helps show where Peter M. Potts may publish in the future.

Co-authorship network of co-authors of Peter M. Potts

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Potts. A scholar is included among the top collaborators of Peter M. Potts 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 Peter M. Potts. Peter M. Potts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Potts, Peter M., et al.. (2024). Factors influencing nest site selection in a rapidly declining shorebird, the Eurasian curlew. Journal of Avian Biology. 2025(1). 1 indexed citations
2.
Gunnarsson, Tómas G., José A. Alves, James J. Gilroy, et al.. (2024). Movement of juvenile migratory birds from settlement to adulthood across the non‐breeding range. Journal of Animal Ecology. 93(9). 1236–1245. 1 indexed citations
3.
Gill, Jennifer A., et al.. (2023). Conservation beyond boundaries: using animal movement networks in protected area assessment. Animal Conservation. 26(6). 753–765. 7 indexed citations
4.
Reneerkens, Jeroen, Theunis Piersma, José A. Alves, et al.. (2019). Low fitness at low latitudes: Wintering in the tropics increases migratory delays and mortality rates in an Arctic breeding shorebird. Journal of Animal Ecology. 89(3). 691–703. 35 indexed citations
5.
Alves, José A., Tómas G. Gunnarsson, William J. Sutherland, Peter M. Potts, & Jennifer A. Gill. (2019). Linking warming effects on phenology, demography, and range expansion in a migratory bird population. Ecology and Evolution. 9(5). 2365–2375. 30 indexed citations
6.
Lourenço, Pedro M., José A. Alves, Jeroen Reneerkens, et al.. (2016). Influence of age and sex on winter site fidelity of sanderlings Calidris alba. PeerJ. 4. e2517–e2517. 22 indexed citations
7.
Alves, José A., Tómas G. Gunnarsson, Peter M. Potts, William J. Sutherland, & Jennifer A. Gill. (2013). Sex‐biases in distribution and resource use at different spatial scales in a migratory shorebird. Ecology and Evolution. 3(4). 1079–1090. 59 indexed citations
8.
Gill, Jennifer A., José A. Alves, William J. Sutherland, et al.. (2013). Why is timing of bird migration advancing when individuals are not?. Proceedings of the Royal Society B Biological Sciences. 281(1774). 20132161–20132161. 148 indexed citations
9.
Alves, José A., Tómas G. Gunnarsson, Graham F. Appleton, et al.. (2012). Costs, benefits, and fitness consequences of different migratory strategies. Ecology. 94(1). 11–17. 106 indexed citations
10.
Lopes, Ricardo J., José A. Alves, Jennifer A. Gill, et al.. (2012). Do different subspecies of Black-tailed Godwit Limosa limosa overlap in Iberian wintering and staging areas? Validation with genetic markers. Journal für Ornithologie. 154(1). 35–40. 14 indexed citations
11.
Gunnarsson, Tómas G., William J. Sutherland, José A. Alves, Peter M. Potts, & Jennifer A. Gill. (2011). Rapid changes in phenotype distribution during range expansion in a migratory bird. Proceedings of the Royal Society B Biological Sciences. 279(1727). 411–416. 32 indexed citations
12.
Alves, José A., Tómas G. Gunnarsson, Peter M. Potts, et al.. (2011). Overtaking on migration: does longer distance migration always incur a penalty?. Oikos. 121(3). 464–470. 55 indexed citations
13.
Gunnarsson, Tómas G., Jennifer A. Gill, Philip W. Atkinson, et al.. (2006). Population‐scale drivers of individual arrival times in migratory birds. Journal of Animal Ecology. 75(5). 1119–1127. 135 indexed citations
14.
Gunnarsson, Tómas G., Jennifer A. Gill, Sara L. Goodacre, et al.. (2006). Sexing of Black-tailed GodwitsLimosa limosa islandica: a comparison of behavioural, molecular, biometric and field-based techniques. Bird Study. 53(3). 193–198. 28 indexed citations
15.
Gunnarsson, Tómas G., Jennifer A. Gill, Peter M. Potts, et al.. (2005). Estimating population size in Black-tailed GodwitsLimosa limosa islandicaby colour-marking. Bird Study. 52(2). 153–158. 28 indexed citations
16.
Gunnarsson, Tómas G., Jennifer A. Gill, Jason Newton, Peter M. Potts, & William J. Sutherland. (2005). Seasonal matching of habitat quality and fitness in a migratory bird. Proceedings of the Royal Society B Biological Sciences. 272(1578). 2319–2323. 180 indexed citations
17.
Gill, Jennifer A., Ken Norris, Peter M. Potts, et al.. (2001). The buffer effect and large-scale population regulation in migratory birds. Nature. 412(6845). 436–438. 272 indexed citations

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.

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