Andrew T. Kahn

17 papers receiving 1.1k citations

Hit Papers

The Extent and Consequences of P-Hacking in Science20152026201820222015250500750

Peers

Andrew T. Kahn
Comparison fields: 5 of 174
  • Ecology, Evolution, Behavior and Systematics 331
  • Statistics, Probability and Uncertainty 234
  • Genetics 161
  • Ecology 128
  • Nature and Landscape Conservation 113
Replace Luke Holman with:
Luke Holman Australia
Megan L. Head Australia
S. Paul Wright United States
David Thomas Mellor United States
Michael Tessler United States
Hannah Fraser Australia
Andrew Gelman United States
Ramon E. Henkel United States
Linda C. Smith United States
Vincent Dorie United States
Andrew T. Kahn relative to Luke Holman Australia Luke Holman's profile →
Citations per field
00.5×1.5×
Luke Holman · 1×
Citations per year

Countries citing papers authored by Andrew T. Kahn

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Kahn'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 Andrew T. Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Kahn more than expected).

Fields of papers citing papers by Andrew T. Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Kahn. 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 Andrew T. Kahn. The network helps show where Andrew T. Kahn may publish in the future.

Co-authorship network of co-authors of Andrew T. Kahn

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Kahn. A scholar is included among the top collaborators of Andrew T. Kahn 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 Andrew T. Kahn. Andrew T. Kahn 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
#WorkIndexed citations
1 4
2 25
3 57
4
The Extent and Consequences of P-Hacking in Sciencebreakdown →
774
5 14
6 18
7 18
8 12
9 6
10 40
11 24
12 20
13 20
14 33
15 25
16 23
17 67

About Andrew T. Kahn

Andrew T. Kahn is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Gender Studies, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (14 papers), Plant and animal studies (10 papers) and Crustacean biology and ecology (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (234 citations), Ecology, Evolution, Behavior and Systematics (331 citations) and Statistics and Probability (103 citations). Andrew T. Kahn has collaborated with scholars based in Australia, United Kingdom and Austria. Frequent co-authors include Michael D. Jennions, Luke Holman, Megan L. Head, Robert Lanfear, Hanna Kokko, Patricia R.Y. Backwell, Jonathan M. Henshaw, Brian S. Mautz, Lisa E. Schwanz and Clint D. Kelly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Evolution.

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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