James M. Maley
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
- Co-authors
- Robb T. Brumfield (5 shared papers)Elizabeth P. Derryberry (2 shared papers)Graham E. Derryberry (1 shared paper)John E. McCormack (10 shared papers)Whitney L. E. Tsai (7 shared papers)Guoquan Huang (4 shared papers)Kevin Winker (4 shared papers)Sarah M. Hird (1 shared paper)
- Journals
- The Auk (4 papers)Molecular Phylogenetics and Evolution (3 papers)PeerJ (2 papers)Molecular Ecology Resources (2 papers)Ornithological Applications (2 papers)
- Partner nations
- United StatesDenmarkColombia
In The Last Decade
James M. Maley
30 papers receiving 868 citations
Peers
Comparison fields: 5 of 71
- Ecological Modeling 149
- Genetics 512
- Ecology 301
- Ecology, Evolution, Behavior and Systematics 200
- Nature and Landscape Conservation 116
Countries citing papers authored by James M. Maley
This map shows the geographic impact of James M. Maley'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 James M. Maley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Maley more than expected).
Fields of papers citing papers by James M. Maley
This network shows the impact of papers produced by James M. Maley. 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 James M. Maley. The network helps show where James M. Maley may publish in the future.
Co-authors
The 25 scholars most cited alongside James M. Maley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 255 | |
| 2 | 2011 | 71 | |
| 3 | 2019 | 63 | |
| 4 | 2015 | 55 | |
| 5 | 2020 | 44 | |
| 6 | 2014 | 42 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 30 | |
| 9 | 2014 | 27 | |
| 10 | 2009 | 26 | |
| 11 | 2017 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2015 | 24 | |
| 14 | 2010 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2013 | 17 | |
| 19 | 2013 | 16 | |
| 20 | 2015 | 15 |
About James M. Maley
James M. Maley is a scholar working on Genetics, Ecology, Aerospace Engineering, Ecology, Evolution, Behavior and Systematics and Artificial Intelligence, having authored 30 papers that have together received 885 indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Wildlife Ecology and Conservation (6 papers), Guidance and Control Systems (4 papers), Species Distribution and Climate Change (4 papers), Plant and animal studies (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Avian ecology and behavior (3 papers). The work is most often cited by research in Ecological Modeling (149 citations), Genetics (512 citations), Ecology (301 citations), Ecology, Evolution, Behavior and Systematics (200 citations) and Nature and Landscape Conservation (116 citations). James M. Maley has collaborated with scholars based in United States, Denmark and Colombia. Frequent co-authors include Robb T. Brumfield, Elizabeth P. Derryberry, Graham E. Derryberry, John E. McCormack, Whitney L. E. Tsai, Guoquan Huang, Kevin Winker, Sarah M. Hird, Gary R. Graves and Patrick Geneva. Their work appears in journals such as The Auk, Molecular Phylogenetics and Evolution, PeerJ, Molecular Ecology Resources and Ornithological Applications.
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.