John L. Skousen

10 total papers · 1.1k total citations
9 papers, 893 citations indexed

About

John L. Skousen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Polymers and Plastics. According to data from OpenAlex, John L. Skousen has authored 9 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Polymers and Plastics. Recurrent topics in John L. Skousen's work include Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Conducting polymers and applications (3 papers). John L. Skousen is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Conducting polymers and applications (3 papers). John L. Skousen collaborates with scholars based in United States and Switzerland. John L. Skousen's co-authors include Jeffrey R. Capadona, Christoph Weder, Mehdi Jorfi, Patrick A. Tresco, Michael B. Christensen, Paul D. Crane, Dustin J. Tyler, Stuart J. Rowan, Daniel J. Park and Allison Hess‐Dunning and has published in prestigious journals such as Biomaterials, Progress in brain research and Journal of Materials Chemistry B.

In The Last Decade

John L. Skousen

9 papers receiving 883 citations

Author Peers

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

Author Last Decade Papers Cites
John L. Skousen 789 396 280 229 201 9 893
Steven M. Wellman 587 0.7× 241 0.6× 208 0.7× 168 0.7× 128 0.6× 16 741
Martha I. Betancur 627 0.8× 383 1.0× 227 0.8× 138 0.6× 87 0.4× 13 893
Rodney E. Millard 434 0.6× 562 1.4× 228 0.8× 120 0.5× 102 0.5× 24 972
George C. McConnell 864 1.1× 382 1.0× 273 1.0× 203 0.9× 190 0.9× 22 988
Jared P. Ness 594 0.8× 206 0.5× 356 1.3× 257 1.1× 150 0.7× 21 861
Michael B. Christensen 548 0.7× 272 0.7× 299 1.1× 100 0.4× 118 0.6× 27 792
Zhengtuo Zhao 764 1.0× 443 1.1× 310 1.1× 339 1.5× 149 0.7× 19 960
Carrie Newbold 340 0.4× 389 1.0× 234 0.8× 105 0.5× 204 1.0× 22 733
Zhanhong Du 715 0.9× 300 0.8× 286 1.0× 304 1.3× 318 1.6× 26 862
Ulrich P. Froriep 632 0.8× 238 0.6× 360 1.3× 216 0.9× 109 0.5× 20 896

Countries citing papers authored by John L. Skousen

Since Specialization
Citations

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

Fields of papers citing papers by John L. Skousen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Skousen. 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 John L. Skousen. The network helps show where John L. Skousen may publish in the future.

Co-authorship network of co-authors of John L. Skousen

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Skousen. A scholar is included among the top collaborators of John L. Skousen 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 John L. Skousen. John L. Skousen 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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