Ben Kerr

1.4k citations
23 papers · 903 · h-index 14

Impact in

  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
  • Genetics top 10%
    • Evolution and Genetic Dynamics

Papers in

Ben Kerr

23 papers receiving 877 citations

Peers

Ben Kerr
Comparison fields: 5 of 111
  • Ecology 305
  • Genetics 293
  • Ecological Modeling 34
  • Ecology, Evolution, Behavior and Systematics 142
  • Geochemistry and Petrology 38
Replace Jesse M. Meik with:
Jesse M. Meik United States
Jostein Starrfelt Norway
Ephraim Mwangomo Tanzania
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Humberto L. Perotto‐Baldivieso United States
M. Balakrishnan Ethiopia
C. A. Miller United States
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Citations per field
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Citations per year

Countries citing papers authored by Ben Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Ben Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Kerr, 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 Ben Kerr Line = papers co-authored together Ben Kerr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004321
2 2002123
3 201750
4 201941
5 202041
6 200139
7 200937
8 200937
9 201436
10 201634
11 201127
12 201924
13 202021
14 200815
15 202411
16 201811
17 202110
18
Regional "Shale Gas" Potential of the Triassic Doig and Montney Formations, Northeastern British Columbia
20067
19 20185
20 20214

About Ben Kerr

Ben Kerr is a scholar working on Genetics, Sociology and Political Science, Environmental Engineering, Water Science and Technology and Ecology, Evolution, Behavior and Systematics, having authored 23 papers that have together received 903 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Evolutionary Game Theory and Cooperation (6 papers), Groundwater flow and contamination studies (5 papers), Hydrology and Watershed Management Studies (5 papers), Animal Behavior and Reproduction (4 papers), Flood Risk Assessment and Management (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Geological Studies and Exploration (2 papers). The work is most often cited by research in Ecology (305 citations), Genetics (293 citations), Ecological Modeling (34 citations), Ecology, Evolution, Behavior and Systematics (142 citations) and Geochemistry and Petrology (38 citations). Ben Kerr has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Christine M. Jessup, Brendan J. M. Bohannan, Samantha E. Forde, Angus Buckling, Rees Kassen, Paul B. Rainey, J.B. Hughes, Tom Gleeson, Eric Libby and William C. Ratcliff. Their work appears in journals such as Water Resources Research, JAWRA Journal of the American Water Resources Association, Trends in Ecology & Evolution, Evolution and Environmental Research 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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