Stock identification methods : applications in fishery science
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- Elsevier eBooks
In The Last Decade
doi.org/w6879237 →Countries where authors are citing Stock identification methods : applications in fishery science
This map shows the geographic impact of Stock identification methods : applications in fishery science. 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 Stock identification methods : applications in fishery science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stock identification methods : applications in fishery science more than expected).
Fields of papers citing Stock identification methods : applications in fishery science
This network shows the impact of Stock identification methods : applications in fishery science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Stock identification methods : applications in fishery science.
About Stock identification methods : applications in fishery science
This paper, published in 2005, received 380 indexed citations . Written by Steven X. Cadrin, Kevin D. Friedland and John R. Waldman covering the research area of Aquatic Science. It is primarily cited by scholars working on Global and Planetary Change (269 citations), Nature and Landscape Conservation (196 citations) and Ecology (148 citations). Published in Elsevier eBooks.
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/w6879237.