Jonathan Rolland

2.8k citations
48 papers · 1.7k · h-index 20

Impact in

Papers in

    • Genetic diversity and population structure 12
    • Evolution and Genetic Dynamics 6
    • Evolution and Paleontology Studies 16

Jonathan Rolland

45 papers receiving 1.6k citations

Peers

Jonathan Rolland
Comparison fields: 5 of 109
  • Ecological Modeling 398
  • Paleontology 510
  • Nature and Landscape Conservation 466
  • Ecology, Evolution, Behavior and Systematics 570
  • Genetics 522
Replace Folmer Bokma with:
Folmer Bokma Sweden
Andrea J. Webster United Kingdom
Robert S. Sommer Germany
James T. Stroud United States
Alan J. D. Tennyson New Zealand
Jean‐Philippe Lessard Canada
Tereza Ježková United States
Travis Ingram New Zealand
W. Bryan Jennings United States
Octavio Rojas‐Soto Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Rolland

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Rolland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Rolland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Rolland Line = papers co-authored together Jonathan Rolland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014280
2 2013199
3 2018100
4 201892
5 201786
6 201481
7 201168
8 201661
9 201358
10 201851
11 202147
12 202347
13 202045
14 201542
15 202141
16 201828
17 199920
18 202020
19 201619
20 202219

About Jonathan Rolland

Jonathan Rolland is a scholar working on Genetics, Paleontology, Ecology, Evolution, Behavior and Systematics, Ecology and Ecological Modeling, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (16 papers), Genetic diversity and population structure (12 papers), Species Distribution and Climate Change (11 papers), Plant and animal studies (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Evolution and Genetic Dynamics (6 papers), Wildlife Ecology and Conservation (5 papers) and Animal Ecology and Behavior Studies (5 papers). The work is most often cited by research in Ecological Modeling (398 citations), Paleontology (510 citations), Nature and Landscape Conservation (466 citations), Ecology, Evolution, Behavior and Systematics (570 citations) and Genetics (522 citations). Jonathan Rolland has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Fabien L. Condamine, Hélène Morlon, Frédéric Jiguet, Nicolas Salamin, Dolph Schluter, Daniele Silvestro, Sebastian Höhna, Martha L. Serrano‐Serrano, Olivier Broennimann and Antoine Guisan. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Ecology Letters, Systematic Biology, Global Ecology and Biogeography and Nature Communications.

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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