idTracker: tracking individuals in a group by automatic identification of unmarked animals
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.2994 →Countries where authors are citing idTracker: tracking individuals in a group by automatic identification of unmarked animals
This map shows the geographic impact of idTracker: tracking individuals in a group by automatic identification of unmarked animals. 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 idTracker: tracking individuals in a group by automatic identification of unmarked animals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites idTracker: tracking individuals in a group by automatic identification of unmarked animals more than expected).
Fields of papers citing idTracker: tracking individuals in a group by automatic identification of unmarked animals
This network shows the impact of idTracker: tracking individuals in a group by automatic identification of unmarked animals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the idTracker: tracking individuals in a group by automatic identification of unmarked animals.
About idTracker: tracking individuals in a group by automatic identification of unmarked animals
This paper, published in 2014, received 544 indexed citations . Written by Alfonso Pérez‐Escudero, Robert C. Hinz, Sara Arganda and Gonzalo G. de Polavieja covering the research area of Genetics and Ecology. It is primarily cited by scholars working on Ecology, Evolution, Behavior and Systematics (173 citations), Cell Biology (114 citations) and Nature and Landscape Conservation (109 citations). Published in Nature Methods.
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/10.1038/nmeth.2994.