Stephan Peischl

2.8k citations
34 papers · 1.0k indexed · h-index 15
Topics
Evolution and Genetic Dynamics (28 papers)Genetic diversity and population structure (21 papers)Evolutionary Game Theory and Cooperation (11 papers)

In The Last Decade

Stephan Peischl

34 papers receiving 1.0k citations

Peers

Stephan Peischl
Comparison fields: 5 of 80
  • Genetics 817
  • Ecology, Evolution, Behavior and Systematics 245
  • Molecular Biology 183
  • Ecology 162
  • Ecological Modeling 149
Replace Maria E. Orive with:
Maria E. Orive United States
Deepa Agashe India
Alison B. Duncan France
Jürgen W. Hottinger Switzerland
Megan A. Greischar United States
Tamara Hofer Austria
Francesca Fiegna Switzerland
Ace North United Kingdom
Noah H. Rose United States
Stephan Peischl relative to Maria E. Orive United States Maria E. Orive's profile →
Citations per field
00.5×4.8×
Maria E. Orive · 1×
Citations per year

Countries citing papers authored by Stephan Peischl

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Peischl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Peischl

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Peischl. A scholar is included among the top collaborators of Stephan Peischl 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 Stephan Peischl. Stephan Peischl 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 1
2 11
3 1
4 2
5 6
6 7
7 45
8 13
9 5
10 50
11 42
12 1
13 29
14 106
15 162
16 100
17 26
18 11
19 5
20 14

About Stephan Peischl

Stephan Peischl is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (28 papers), Genetic diversity and population structure (21 papers) and Evolutionary Game Theory and Cooperation (11 papers). The work is most often cited by research in Ecological Modeling (149 citations), Genetics (817 citations) and Ecology, Evolution, Behavior and Systematics (245 citations). Stephan Peischl has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Laurent Excoffier, Mark Kirkpatrick, Isabelle Dupanloup, Kimberly J. Gilbert, Lars Bosshard, Brenna M. Henn, Laura R. Botigué, Carlos D. Bustamante, Shaila Musharoff and Alicia R. Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

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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