Jonathan R. Potts

3.9k citations
86 papers · 2.3k indexed · 2 hit papers · h-index 26
Topics
Wildlife Ecology and Conservation (28 papers)Animal Behavior and Reproduction (16 papers)Liver Disease Diagnosis and Treatment (16 papers)

In The Last Decade

Jonathan R. Potts

79 papers receiving 2.2k citations

Hit Papers

Integrated step selection analysis: bridging the gap betw...201520262018202220152019100200300

Peers

Jonathan R. Potts
Comparison fields: 5 of 138
  • Ecology 1.1k
  • Ecology, Evolution, Behavior and Systematics 426
  • Genetics 365
  • Nature and Landscape Conservation 335
  • Public Health, Environmental and Occupational Health 284
Replace Steve Rushton with:
Steve Rushton United Kingdom
Tobias Sing Germany
Sibylle Sturtz Germany
Ryan D. Hernandez United States
Richard R. Veit United States
Leonard A. Brennan United States
Kevin J. Duffy South Africa
Pierre Bize Switzerland
Jukka Sirén Finland
John P. Buonaccorsi United States
Jonathan R. Potts relative to Steve Rushton United Kingdom Steve Rushton's profile →
Citations per field
00.5×3.8×
Steve Rushton · 1×
Citations per year

Countries citing papers authored by Jonathan R. Potts

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan R. Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan R. Potts

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 3
5 5
6 2
7 13
8 25
9 18
10 2
11 28
12 48
13
Optimizing the use of biologgers for movement ecology researchbreakdown →
201
14 4
15 31
16 2
17 13
18 36
19 11
20 27

About Jonathan R. Potts

Jonathan R. Potts is a scholar working on Hepatology, Modeling and Simulation and Microbiology, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (28 papers), Animal Behavior and Reproduction (16 papers) and Liver Disease Diagnosis and Treatment (16 papers). The work is most often cited by research in Ecological Modeling (204 citations), Ecology (1.1k citations) and Developmental Biology (74 citations). Jonathan R. Potts has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Mark A. Lewis, Tal Avgar, Mark S. Boyce, Luca Giuggioli, Stephen Harris, Sumita Verma, Sergei Petrovskii, Mark A. Lewis, Luca Börger and Karl Mokross. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

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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