David E. Ausband
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Ecology top 2%
- Wildlife Ecology and Conservation
- Animal Ecology and Behavior Studies
- Rangeland and Wildlife Management
Papers in
- Co-authors
- Lisette P. Waits (15 shared papers)Michael S. Mitchell (22 shared papers)Jennifer L. Stenglein (6 shared papers)Curt Mack (8 shared papers)Peter Zager (6 shared papers)Marta De Barba (1 shared paper)Kerry R. Foresman (2 shared papers)Sarah B. Bassing (7 shared papers)
- Journals
- Journal of Wildlife Management (15 papers)Journal of Mammalogy (5 papers)Animal Conservation (3 papers)Ethology (3 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- United StatesCanadaIreland
In The Last Decade
David E. Ausband
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Ecological Modeling 208
- Ecology 1.1k
- Small Animals 273
- Developmental Biology 41
- Genetics 418
Countries citing papers authored by David E. Ausband
This map shows the geographic impact of David E. Ausband'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 David E. Ausband with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Ausband more than expected).
Fields of papers citing papers by David E. Ausband
This network shows the impact of papers produced by David E. Ausband. 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 David E. Ausband. The network helps show where David E. Ausband may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Ausband, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 101 | |
| 2 | 2011 | 76 | |
| 3 | 2009 | 76 | |
| 4 | 2017 | 65 | |
| 5 | 2014 | 61 | |
| 6 | 2010 | 61 | |
| 7 | 2015 | 43 | |
| 8 | 2014 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2013 | 37 | |
| 11 | 2020 | 35 | |
| 12 | 2017 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2012 | 25 | |
| 16 | 2018 | 22 | |
| 17 | 2005 | 21 | |
| 18 | 2008 | 21 | |
| 19 | 2016 | 19 | |
| 20 | 2016 | 19 |
About David E. Ausband
David E. Ausband is a scholar working on Ecology, Genetics, Small Animals, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (60 papers), Animal Behavior and Welfare Studies (19 papers), Animal Ecology and Behavior Studies (16 papers), Genetic diversity and population structure (12 papers), Rangeland and Wildlife Management (11 papers), Species Distribution and Climate Change (10 papers), Genetic and phenotypic traits in livestock (7 papers) and Animal Behavior and Reproduction (7 papers). The work is most often cited by research in Ecological Modeling (208 citations), Ecology (1.1k citations), Small Animals (273 citations), Developmental Biology (41 citations) and Genetics (418 citations). David E. Ausband has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Lisette P. Waits, Michael S. Mitchell, Jennifer L. Stenglein, Curt Mack, Peter Zager, Marta De Barba, Kerry R. Foresman, Sarah B. Bassing, Douglas W. Smith and Paul M. Lukacs. Their work appears in journals such as Journal of Wildlife Management, Journal of Mammalogy, Animal Conservation, Ethology and Proceedings of the Royal Society B Biological Sciences.
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.