Benjamin Koger
Impact in
- Developmental Biology top 10%
- Ecological Modeling top 10%
Papers in
-
- Plant and animal studies 2
- Animal Behavior and Reproduction 2
-
- Primate Behavior and Ecology 2
- Co-authors
- Blair R. Costelloe (3 shared papers)Iain D. Couzin (3 shared papers)Jacob M. Graving (2 shared papers)Daniel H. Chae (1 shared paper)Liang Li (1 shared paper)Hemal Naik (1 shared paper)Jeffrey T. Kerby (1 shared paper)Michael L. Smith (2 shared papers)
- Journals
- eLife (1 paper)Journal of Animal Ecology (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Physical Biology (1 paper)Ecosphere (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Benjamin Koger
7 papers receiving 400 citations
Benjamin Koger's Hit Papers
Peers
Comparison fields: 5 of 86
- Developmental Biology 23
- Ecological Modeling 35
- Small Animals 44
- Computer Vision and Pattern Recognition 103
- Ecology, Evolution, Behavior and Systematics 87
Countries citing papers authored by Benjamin Koger
This map shows the geographic impact of Benjamin Koger'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 Benjamin Koger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Koger more than expected).
Fields of papers citing papers by Benjamin Koger
This network shows the impact of papers produced by Benjamin Koger. 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 Benjamin Koger. The network helps show where Benjamin Koger may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Koger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning Hit paper breakdown → | 2019 | 332 |
| 2 | 2023 | 57 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 |
About Benjamin Koger
Benjamin Koger is a scholar working on Ecology, Evolution, Behavior and Systematics, Social Psychology, Ecology, Genetics and Condensed Matter Physics, having authored 7 papers that have together received 407 indexed citations. Recurring topics across this work include Plant and animal studies (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Wildlife Ecology and Conservation (2 papers), Primate Behavior and Ecology (2 papers), Animal Behavior and Reproduction (2 papers), Animal Vocal Communication and Behavior (1 paper), Insect and Pesticide Research (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Developmental Biology (23 citations), Ecological Modeling (35 citations), Small Animals (44 citations), Computer Vision and Pattern Recognition (103 citations) and Ecology, Evolution, Behavior and Systematics (87 citations). Benjamin Koger has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Blair R. Costelloe, Iain D. Couzin, Jacob M. Graving, Daniel H. Chae, Liang Li, Hemal Naik, Jeffrey T. Kerby, Michael L. Smith, Dina K. N. Dechmann and Martin Wikelski. Their work appears in journals such as eLife, Journal of Animal Ecology, Proceedings of the Royal Society B Biological Sciences, Physical Biology and Ecosphere.
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.