J. Weldon McNutt
Impact in
- Ecology top 0.5%
- Wildlife Ecology and Conservation
- Animal Ecology and Behavior Studies
- Ecological Modeling top 1%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Gabriele Cozzi (13 shared papers)Neil R. Jordan (29 shared papers)Femke Broekhuis (8 shared papers)David W. Macdonald (4 shared papers)Peter Apps (11 shared papers)Alan M. Wilson (16 shared papers)Bernhard Schmid (3 shared papers)Krystyna A. Golabek (12 shared papers)
- Journals
- Animal Behaviour (6 papers)Behavioral Ecology and Sociobiology (6 papers)Biological Conservation (6 papers)Ecology and Evolution (5 papers)Journal of Zoology (5 papers)
- Partner nations
- BotswanaUnited KingdomUnited States
In The Last Decade
J. Weldon McNutt
84 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Ecology 2.4k
- Ecological Modeling 403
- Small Animals 479
- Developmental Biology 140
- Genetics 912
Countries citing papers authored by J. Weldon McNutt
This map shows the geographic impact of J. Weldon McNutt'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 J. Weldon McNutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Weldon McNutt more than expected).
Fields of papers citing papers by J. Weldon McNutt
This network shows the impact of papers produced by J. Weldon McNutt. 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 J. Weldon McNutt. The network helps show where J. Weldon McNutt may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Weldon McNutt, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 207 | |
| 2 | 2009 | 171 | |
| 3 | 2013 | 155 | |
| 4 | 2018 | 137 | |
| 5 | 1996 | 135 | |
| 6 | 2016 | 125 | |
| 7 | 2015 | 99 | |
| 8 | 2017 | 82 | |
| 9 | 2013 | 75 | |
| 10 | 2001 | 72 | |
| 11 | 2012 | 68 | |
| 12 | 2016 | 64 | |
| 13 | 2017 | 64 | |
| 14 | 2017 | 63 | |
| 15 | 2007 | 63 | |
| 16 | 1995 | 62 | |
| 17 | 2012 | 60 | |
| 18 | 2013 | 60 | |
| 19 | 2008 | 53 | |
| 20 | 2017 | 52 |
About J. Weldon McNutt
J. Weldon McNutt is a scholar working on Ecology, Genetics, Social Psychology, Ecology, Evolution, Behavior and Systematics and Small Animals, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (74 papers), Human-Animal Interaction Studies (34 papers), Primate Behavior and Ecology (17 papers), Animal Behavior and Welfare Studies (11 papers), Wildlife-Road Interactions and Conservation (10 papers), Bat Biology and Ecology Studies (10 papers), Animal Ecology and Behavior Studies (9 papers) and Species Distribution and Climate Change (9 papers). The work is most often cited by research in Ecology (2.4k citations), Ecological Modeling (403 citations), Small Animals (479 citations), Developmental Biology (140 citations) and Genetics (912 citations). J. Weldon McNutt has collaborated with scholars based in Botswana, United Kingdom and United States. Frequent co-authors include Gabriele Cozzi, Neil R. Jordan, Femke Broekhuis, David W. Macdonald, Peter Apps, Alan M. Wilson, Bernhard Schmid, Krystyna A. Golabek, Roșie Woodroffe and Rosemary J. Groom. Their work appears in journals such as Animal Behaviour, Behavioral Ecology and Sociobiology, Biological Conservation, Ecology and Evolution and Journal of Zoology.
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.