Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model
- Journal
- Journal of the Fisheries Research Board of Canada
In The Last Decade
doi.org/10.1139/f77-008 →Countries where authors are citing Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model
This map shows the geographic impact of Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model. 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 Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model more than expected).
Fields of papers citing Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model
This network shows the impact of Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model.
About Encounter Probabilities and Community Structure in Zooplankton: a Mathematical Model
This paper, published in 1977, received 703 indexed citations . Written by Jeroen Gerritsen and J. Rudi Strickler covering the research area of Genetics, Sociology and Political Science and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Ecology (307 citations), Global and Planetary Change (289 citations) and Nature and Landscape Conservation (282 citations). Published in Journal of the Fisheries Research Board of Canada.
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.
This paper is also available at doi.org/10.1139/f77-008.