John M. Bates
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change 25
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- Ecology and Vegetation Dynamics Studies 18
- Paleontology top 2%
- Evolution and Paleontology Studies 18
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- Genetic diversity and population structure 48
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- Avian ecology and behavior 23
- Wildlife Ecology and Conservation 19
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- Plant and animal studies 20
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- Genomics and Phylogenetic Studies 12
- Co-authors
- Clive W. J. GrangerJosé Maria Cardoso da SilvaA. J. RaynerMatthew ColeShannon J. HackettRobert S. PindyckGus MillsJohn B. Dunning
- Cited by
- Ecological ModelingManagement Science and Operations ResearchNature and Landscape Conservation
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
John M. Bates
130 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Ecological Modeling 788
- Management Science and Operations Research 1.3k
- Nature and Landscape Conservation 1.2k
- General Economics, Econometrics and Finance 769
- Paleontology 551
Countries citing papers authored by John M. Bates
This map shows the geographic impact of John M. Bates'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 John M. Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Bates more than expected).
Fields of papers citing papers by John M. Bates
This network shows the impact of papers produced by John M. Bates. 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 John M. Bates. The network helps show where John M. Bates may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John M. Bates, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 33 | |
| 10 | 2019 | 66 | |
| 11 | 2015 | 105 | |
| 12 | 2015 | 28 | |
| 13 | 2015 | 17 | |
| 14 | 2009 | 39 | |
| 15 | 2009 | 39 | |
| 16 | 2006 | 4 | |
| 17 | 2005 | 121 | |
| 18 | 2000 | 2 | |
| 19 | 2000 | 10 | |
| 20 | 1992 | 16 |
About John M. Bates
John M. Bates is a scholar working on Ecological Modeling, Paleontology, Nature and Landscape Conservation, Ecology and Genetics, having authored 137 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (48 papers), Species Distribution and Climate Change (25 papers), Avian ecology and behavior (23 papers), Plant and animal studies (20 papers), Wildlife Ecology and Conservation (19 papers), Ecology and Vegetation Dynamics Studies (18 papers), Evolution and Paleontology Studies (18 papers) and Genomics and Phylogenetic Studies (12 papers). The work is most often cited by research in Ecological Modeling (788 citations), Management Science and Operations Research (1.3k citations), Nature and Landscape Conservation (1.2k citations), General Economics, Econometrics and Finance (769 citations) and Paleontology (551 citations). John M. Bates has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Clive W. J. Granger, José Maria Cardoso da Silva, A. J. Rayner, Matthew Cole, Shannon J. Hackett, Robert S. Pindyck, Gus Mills, John B. Dunning, Jason D. Weckstein and Joël Cracraft. Their work appears in journals such as The Auk, BioScience, Molecular Phylogenetics and Evolution, Ornithological Applications and Ibis.
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.