Shannon M. Barber‐Meyer
- Ecology top 2%
- Small Animals top 2%
- Nature and Landscape Conservation top 10%
- Genetics
- Ecological Modeling top 5%
- Co-authors
- L. David MechP. J. WhiteGerald L. KooymanPaul J. PonganisAdam BarlowColby LoucksJohn D. ErbDominic J. Demma
- Topics
- Wildlife Ecology and Conservation (28 papers)Rangeland and Wildlife Management (11 papers)Animal Behavior and Welfare Studies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Microbiology Reviews
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Shannon M. Barber‐Meyer
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Ecology 877
- Small Animals 153
- Nature and Landscape Conservation 127
- Genetics 126
- Ecological Modeling 121
Countries citing papers authored by Shannon M. Barber‐Meyer
This map shows the geographic impact of Shannon M. Barber‐Meyer'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 Shannon M. Barber‐Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon M. Barber‐Meyer more than expected).
Fields of papers citing papers by Shannon M. Barber‐Meyer
This network shows the impact of papers produced by Shannon M. Barber‐Meyer. 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 Shannon M. Barber‐Meyer. The network helps show where Shannon M. Barber‐Meyer may publish in the future.
Co-authorship network of co-authors of Shannon M. Barber‐Meyer
This figure shows the co-authorship network connecting the top 25 collaborators of Shannon M. Barber‐Meyer. A scholar is included among the top collaborators of Shannon M. Barber‐Meyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shannon M. Barber‐Meyer. Shannon M. Barber‐Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | Use of non-invasive genetics to generate core-area population estimates of a threatened predator in the Superior National Forest, USA | 3 |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 6 | |
| 13 | Gray Wolf ( Canis lupus ) dyad monthly association rates by demographic group. | 16 |
| 14 | 141 | |
| 15 | 76 | |
| 16 | 24 | |
| 17 | 35 | |
| 18 | 13 | |
| 19 | 38 | |
| 20 | 55 |
About Shannon M. Barber‐Meyer
Shannon M. Barber‐Meyer is a scholar working on Ecological Modeling, Small Animals and Ecology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (28 papers), Rangeland and Wildlife Management (11 papers) and Animal Behavior and Welfare Studies (10 papers). The work is most often cited by research in Ecology (877 citations), Ecological Modeling (121 citations) and Small Animals (153 citations). Shannon M. Barber‐Meyer has collaborated with scholars based in United States, India and Canada. Frequent co-authors include L. David Mech, P. J. White, Gerald L. Kooyman, Paul J. Ponganis, Adam Barlow, Colby Loucks, John D. Erb, Dominic J. Demma, Peyton T. Taylor and James K. Roche. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology Reviews.
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.