Idaho Department of Fish and Game

18k citations
830 papers ·

Impact in

Papers in

Idaho Department of Fish and Game

792 papers receiving 18k citations

Peers

Idaho Department of Fish and Game
Comparison fields: 5 of 157
  • Nature and Landscape Conservation 5.5k
  • Ecology 7.2k
  • Microbiology 1.1k
  • Ecological Modeling 278
  • Aquatic Science 769
Replace Montana Fish, Wildlife & Parks with:
Montana Fish, Wildlife & Parks United States
Washington Department of Fish and Wildlife United States
Northern Rocky Mountain Science Center
Western Fisheries Research Center
Oregon Department of Fish and Wildlife United States
Arizona Game and Fish Department United States
San Diego Zoo Institute for Conservation Research United States
Forest and Rangeland Ecosystem Science Center
Wyoming Game and Fish Department United States
Ministry of Forests Canada
Idaho Department of Fish and Game relative to Montana Fish, Wildlife & Parks United States Montana Fish, Wildlife & Parks's profile →
Citations per field
00.5×2×4×6.7×
Montana Fish, Wildlife & Parks · 1×
Citations per year

Countries citing scholars working at Idaho Department of Fish and Game

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Idaho Department of Fish and Game. 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 papers produced at Idaho Department of Fish and Game with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idaho Department of Fish and Game more than expected).

Fields of papers published by authors at Idaho Department of Fish and Game

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Idaho Department of Fish and Game at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Idaho Department of Fish and Game at the time of their publication.

About Idaho Department of Fish and Game

In recent decades, authors affiliated with Idaho Department of Fish and Game have published 830 papers, which have received a total of 18k indexed citations . Scholars at this organization have produced 343 papers in Nature and Landscape Conservation, 275 papers in Ecology, 49 papers in Microbiology, 44 papers in Aquatic Science and 12 papers in Ecological Modeling on the topics of Fish Ecology and Management Studies (333 papers), Wildlife Ecology and Conservation (157 papers), Genetic diversity and population structure (86 papers), Rangeland and Wildlife Management (76 papers), Avian ecology and behavior (51 papers), Microbial infections and disease research (49 papers), Marine and fisheries research (31 papers) and Fish Biology and Ecology Studies (25 papers). Their work is cited by papers focused on Nature and Landscape Conservation (5.5k citations), Ecology (7.2k citations), Microbiology (1.1k citations), Ecological Modeling (278 citations) and Aquatic Science (769 citations). Authors at Idaho Department of Fish and Game collaborate with scholars in United States, Canada and France and have published in prestigious journals including North American Journal of Fisheries Management, Transactions of the American Fisheries Society, Journal of Wildlife Management, Journal of Wildlife Diseases and Fisheries. Some of Idaho Department of Fish and Game's most productive authors include John W. Connelly, Kevin A. Meyer, Daniel J. Schill, Vaughn L. Paragamian, E. Frances Cassirer, Peter E. Zager, Matthew R. Campbell, David E. Ausband, Kerry P. Reese and Mark L. Drew.

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.

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