Matthew Kohrman

48 total papers · 603 total citations
22 papers, 351 citations indexed

About

Matthew Kohrman is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Political Science and International Relations. According to data from OpenAlex, Matthew Kohrman has authored 22 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 4 papers in Organizational Behavior and Human Resource Management and 3 papers in Political Science and International Relations. Recurrent topics in Matthew Kohrman's work include Chinese history and philosophy (5 papers), Global Public Health Policies and Epidemiology (4 papers) and Geographies of human-animal interactions (3 papers). Matthew Kohrman is often cited by papers focused on Chinese history and philosophy (5 papers), Global Public Health Policies and Epidemiology (4 papers) and Geographies of human-animal interactions (3 papers). Matthew Kohrman collaborates with scholars based in United States, China and Taiwan. Matthew Kohrman's co-authors include Peter Benson, Shuiyuan Xiao, David S. Black, Stephen Hamann, Stephen E. D. Nsimba, Steve Sussman, Pallav Pokhrel, Robert N. Proctor, Wennan Liu and Janice Y. Tsoh and has published in prestigious journals such as The Lancet, Annual Review of Anthropology and American Anthropologist.

In The Last Decade

Matthew Kohrman

21 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Matthew Kohrman	126	84	56	52	45	22	351
Lauren Bialystok	106 0.8×	36 0.4×	26 0.5×	34 0.7×	82 1.8×	34	348
Tanya Goodman	143 1.1×	23 0.3×	50 0.9×	13 0.3×	79 1.8×	27	396
Laury Oaks	214 1.7×	21 0.3×	23 0.4×	10 0.2×	63 1.4×	20	397
Ros Williams	62 0.5×	25 0.3×	18 0.3×	12 0.2×	54 1.2×	18	300
Todd Meyers	111 0.9×	19 0.2×	24 0.4×	10 0.2×	78 1.7×	30	330
Stephanie Doyle	57 0.5×	30 0.4×	74 1.3×	42 0.8×	48 1.1×	19	381
Sarah Pinto	125 1.0×	9 0.1×	55 1.0×	27 0.5×	66 1.5×	31	399
John Spicer Nichols	125 1.0×	31 0.4×	25 0.4×	3 0.1×	50 1.1×	15	301
Karen Bogen	148 1.2×	76 0.9×	22 0.4×	19 0.4×	114 2.5×	17	358
John Henderson	109 0.9×	14 0.2×	157 2.8×	14 0.3×	34 0.8×	28	340

Countries citing papers authored by Matthew Kohrman

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Kohrman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Kohrman. 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 Matthew Kohrman. The network helps show where Matthew Kohrman may publish in the future.

Co-authorship network of co-authors of Matthew Kohrman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Kohrman. A scholar is included among the top collaborators of Matthew Kohrman 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 Matthew Kohrman. Matthew Kohrman 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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