Dennis M. Wilkinson

30 total papers · 2.9k total citations
17 papers, 1.1k citations indexed

About

Dennis M. Wilkinson is a scholar working on Statistical and Nonlinear Physics, Communication and Molecular Biology. According to data from OpenAlex, Dennis M. Wilkinson has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 5 papers in Communication and 3 papers in Molecular Biology. Recurrent topics in Dennis M. Wilkinson's work include Complex Network Analysis Techniques (6 papers), Wikis in Education and Collaboration (4 papers) and Opinion Dynamics and Social Influence (3 papers). Dennis M. Wilkinson is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Wikis in Education and Collaboration (4 papers) and Opinion Dynamics and Social Influence (3 papers). Dennis M. Wilkinson collaborates with scholars based in United States, United Kingdom and France. Dennis M. Wilkinson's co-authors include Bernardo A. Huberman, Joshua R. Tyler, Christoph H. Loch, Jürgen Mihm, Fang Wu, Gábor Szabó, Eytan Adar, Lada A. Adamic, Michael J. Brzozowski and Tad Hogg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Management Science and The Information Society.

In The Last Decade

Dennis M. Wilkinson

16 papers receiving 974 citations

Author Peers

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

Author Last Decade Papers Cites
Dennis M. Wilkinson 366 334 239 207 183 17 1.1k
Jürgen Lerner 196 0.5× 435 1.3× 114 0.5× 84 0.4× 222 1.2× 43 1.2k
Yan Qu 512 1.4× 173 0.5× 157 0.7× 64 0.3× 170 0.9× 34 1.0k
Shaomei Wu 310 0.8× 378 1.1× 177 0.7× 73 0.4× 255 1.4× 22 1.3k
Andrea Capocci 116 0.3× 855 2.6× 75 0.3× 50 0.2× 131 0.7× 17 1.2k
Howard T. Welser 515 1.4× 260 0.8× 221 0.9× 235 1.1× 162 0.9× 17 955
Piotr Sapieżyński 173 0.5× 321 1.0× 195 0.8× 72 0.3× 260 1.4× 27 1.4k
Cody Dunne 105 0.3× 320 1.0× 154 0.6× 37 0.2× 379 2.1× 49 1.2k
Xiangyang Lan 152 0.4× 734 2.2× 306 1.3× 68 0.3× 373 2.0× 5 1.4k
Itamar Rosenn 340 0.9× 684 2.0× 198 0.8× 44 0.2× 204 1.1× 5 1.3k
Chong Wang 95 0.3× 170 0.5× 240 1.0× 50 0.2× 849 4.6× 8 1.5k

Countries citing papers authored by Dennis M. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Dennis M. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis M. Wilkinson. 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 Dennis M. Wilkinson. The network helps show where Dennis M. Wilkinson may publish in the future.

Co-authorship network of co-authors of Dennis M. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis M. Wilkinson. A scholar is included among the top collaborators of Dennis M. Wilkinson 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 Dennis M. Wilkinson. Dennis M. Wilkinson 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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