Frank Pennekamp

88 total papers · 2.4k total citations
30 papers, 1.4k citations indexed

About

Frank Pennekamp is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Frank Pennekamp has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Ecological Modeling. Recurrent topics in Frank Pennekamp's work include Plant and animal studies (9 papers), Species Distribution and Climate Change (9 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Frank Pennekamp is often cited by papers focused on Plant and animal studies (9 papers), Species Distribution and Climate Change (9 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Frank Pennekamp collaborates with scholars based in Switzerland, Belgium and Germany. Frank Pennekamp's co-authors include Owen L. Petchey, Nicolas Schtickzelle, Aurélie Garnier, Florian Altermatt, Mikael Pontarp, Thomas M. Massie, Gian Marco Palamara, Emanuel A. Fronhofer, Elvira Mächler and Andrea Tabi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Frank Pennekamp

29 papers receiving 1.3k citations

Hit Papers

Biodiversity increases an... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank Pennekamp 615 408 380 370 314 30 1.4k
Mikael Pontarp 828 1.3× 429 1.1× 400 1.1× 311 0.8× 306 1.0× 30 1.6k
Kévin Cazelles 782 1.3× 600 1.5× 531 1.4× 344 0.9× 422 1.3× 30 1.6k
Miguel Lurgi 829 1.3× 635 1.6× 476 1.3× 493 1.3× 345 1.1× 50 1.7k
Matthew K. Lau 510 0.8× 398 1.0× 413 1.1× 340 0.9× 275 0.9× 33 1.5k
Robert A. Browne 843 1.4× 393 1.0× 363 1.0× 354 1.0× 205 0.7× 54 1.6k
Ryan A. Chisholm 587 1.0× 726 1.8× 400 1.1× 523 1.4× 355 1.1× 75 1.6k
Michel Loreau 468 0.8× 560 1.4× 330 0.9× 411 1.1× 330 1.1× 16 1.2k
Simon P. Hart 440 0.7× 606 1.5× 598 1.6× 317 0.9× 240 0.8× 28 1.4k
Zhichao Pu 598 1.0× 804 2.0× 597 1.6× 257 0.7× 315 1.0× 19 1.4k
Francesco Carrara 563 0.9× 442 1.1× 262 0.7× 140 0.4× 171 0.5× 27 1.4k

Countries citing papers authored by Frank Pennekamp

Since Specialization
Citations

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

Fields of papers citing papers by Frank Pennekamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Pennekamp

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

All Works

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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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