Countries where authors are citing Information transfer and behavioural inertia in starling flocks

Specialization
Citations

This map shows the geographic impact of Information transfer and behavioural inertia in starling flocks. 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 Information transfer and behavioural inertia in starling flocks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Information transfer and behavioural inertia in starling flocks more than expected).

Fields of papers citing Information transfer and behavioural inertia in starling flocks

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Information transfer and behavioural inertia in starling flocks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Information transfer and behavioural inertia in starling flocks.

About Information transfer and behavioural inertia in starling flocks

This paper, published in 2014, received 251 indexed citations . Written by Alessandro Attanasi, Andrea Cavagna, Lorenzo Del Castello, Irene Giardina, Tomás S. Grigera, Stefania Melillo, Leonardo Parisi, Oliver Pohl, Edward Shen and Massimiliano Viale covering the research area of Statistical and Nonlinear Physics, Ecology, Evolution, Behavior and Systematics and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (93 citations), Statistical and Nonlinear Physics (81 citations) and Condensed Matter Physics (76 citations). Published in Nature Physics.

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/nphys3035.

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