Wim Huisman

189 total papers · 2.3k total citations
81 papers, 1.5k citations indexed

About

Wim Huisman is a scholar working on Sociology and Political Science, Nature and Landscape Conservation and Strategy and Management. According to data from OpenAlex, Wim Huisman has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Sociology and Political Science, 16 papers in Nature and Landscape Conservation and 11 papers in Strategy and Management. Recurrent topics in Wim Huisman's work include Wildlife Conservation and Criminology Analyses (16 papers), Crime, Illicit Activities, and Governance (10 papers) and Identification and Quantification in Food (10 papers). Wim Huisman is often cited by papers focused on Wildlife Conservation and Criminology Analyses (16 papers), Crime, Illicit Activities, and Governance (10 papers) and Identification and Quantification in Food (10 papers). Wim Huisman collaborates with scholars based in Netherlands, Slovenia and United Kingdom. Wim Huisman's co-authors include Saskia M. van Ruth, Pieternel A. Luning, Adriaan Denkers, Madelijne Gorsira, Judith van Erp, Yurong Yang, Linda Steg, Mario Plebani, E.R. Kleemans and Vincenzo Puro and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Business Ethics.

In The Last Decade

Wim Huisman

65 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Wim Huisman 332 331 263 239 144 81 1.5k
Robert W. Baldwin 335 1.0× 195 0.6× 28 0.1× 14 0.1× 219 1.5× 59 1.6k
Konstantinos C. Fragkos 190 0.6× 196 0.6× 250 1.0× 79 0.3× 20 0.1× 74 1.6k
Xin Li 129 0.4× 84 0.3× 25 0.1× 9 0.0× 21 0.1× 72 1.4k
Frederik Questier 90 0.3× 189 0.6× 13 0.0× 56 0.2× 10 0.1× 37 1.8k
David Carter 84 0.3× 357 1.1× 18 0.1× 25 0.1× 249 1.7× 71 1.5k
Barbara J. Culliton 215 0.6× 80 0.2× 91 0.3× 8 0.0× 23 0.2× 386 1.6k
Brian Salter 261 0.8× 243 0.7× 439 1.7× 29 0.1× 102 0.7× 100 1.7k
Gregorio González‐Alcaide 42 0.1× 133 0.4× 33 0.1× 26 0.1× 114 0.8× 134 1.6k
Barbara Keller 290 0.9× 270 0.8× 52 0.2× 11 0.0× 14 0.1× 110 1.7k
Timothy A. Woods 61 0.2× 30 0.1× 57 0.2× 213 0.9× 67 0.5× 96 1.6k

Countries citing papers authored by Wim Huisman

Since Specialization
Citations

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

Fields of papers citing papers by Wim Huisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Huisman

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Huisman. A scholar is included among the top collaborators of Wim Huisman 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 Wim Huisman. Wim Huisman 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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2026