Carlo Matessi

37 total papers · 967 total citations
25 papers, 715 citations indexed

About

Carlo Matessi is a scholar working on Genetics, Sociology and Political Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Carlo Matessi has authored 25 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 12 papers in Sociology and Political Science and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Carlo Matessi's work include Evolution and Genetic Dynamics (13 papers), Evolutionary Game Theory and Cooperation (12 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Carlo Matessi is often cited by papers focused on Evolution and Genetic Dynamics (13 papers), Evolutionary Game Theory and Cooperation (12 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Carlo Matessi collaborates with scholars based in Italy, United States and Argentina. Carlo Matessi's co-authors include S. D. Jayakar, Ilan Eshel, Samuel Karlin, A. Gimelfarb, Sergey Gavrilets, Marino Gatto, Macdonald Morris, Lawrence B. Slobodkin, Barbara Bardoni and Branka Dabovic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecology and The American Naturalist.

In The Last Decade

Carlo Matessi

23 papers receiving 642 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Carlo Matessi	447	372	222	151	89	25	715
Jeremy Van Cleve	514 1.1×	468 1.3×	248 1.1×	104 0.7×	168 1.9×	32	907
J. David Van Dyken	529 1.2×	281 0.8×	325 1.5×	90 0.6×	164 1.8×	25	841
Sabin Lessard	480 1.1×	468 1.3×	136 0.6×	235 1.6×	29 0.3×	43	659
I. Lorraine Heisler	397 0.9×	345 0.9×	471 2.1×	35 0.2×	37 0.4×	13	784
Read	327 0.7×	141 0.4×	187 0.8×	117 0.8×	57 0.6×	22	871
A. Gimelfarb	585 1.3×	135 0.4×	240 1.1×	125 0.8×	53 0.6×	34	791
Alan G. Fix	350 0.8×	204 0.5×	65 0.3×	54 0.4×	49 0.6×	40	848
Yong Zhu	406 0.9×	204 0.5×	245 1.1×	26 0.2×	170 1.9×	10	641
Edith R. Dempster	299 0.7×	113 0.3×	286 1.3×	55 0.4×	48 0.5×	51	723
V. C. Wynne‐Edwards	151 0.3×	242 0.7×	166 0.7×	23 0.2×	15 0.2×	21	662

Countries citing papers authored by Carlo Matessi

Since Specialization

Citations

This map shows the geographic impact of Carlo Matessi's research. 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 Carlo Matessi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Matessi more than expected).

Fields of papers citing papers by Carlo Matessi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlo Matessi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlo Matessi. The network helps show where Carlo Matessi may publish in the future.

Co-authorship network of co-authors of Carlo Matessi

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Matessi. A scholar is included among the top collaborators of Carlo Matessi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlo Matessi. Carlo Matessi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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