Jack De Havas

11 total papers · 426 total citations
8 papers, 335 citations indexed

About

Jack De Havas is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Jack De Havas has authored 8 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Biomedical Engineering and 2 papers in Social Psychology. Recurrent topics in Jack De Havas's work include Motor Control and Adaptation (6 papers), Muscle activation and electromyography studies (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Jack De Havas is often cited by papers focused on Motor Control and Adaptation (6 papers), Muscle activation and electromyography studies (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Jack De Havas collaborates with scholars based in United Kingdom, Japan and Switzerland. Jack De Havas's co-authors include Chun Siong Soon, Michael W.L. Chee, Hiroaki Gomi, Patrick Haggard, Arko Ghosh, Esther Kuehn, Sven Bestmann, Yuji Ikegaya and Nobuhiro Hagura and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Jack De Havas

8 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Jack De Havas 295 126 64 52 26 8 335
Sophia H. Quraishi 185 0.6× 122 1.0× 47 0.7× 78 1.5× 7 0.3× 7 338
Per Ø. Pedersen 208 0.7× 107 0.8× 46 0.7× 79 1.5× 9 0.3× 6 313
Shiori Aoyama 180 0.6× 91 0.7× 19 0.3× 66 1.3× 37 1.4× 10 338
Yang Wang 238 0.8× 60 0.5× 52 0.8× 20 0.4× 7 0.3× 12 343
Nathalia Zak 195 0.7× 97 0.8× 45 0.7× 70 1.3× 7 0.3× 9 295
Chung Ki Wong 218 0.7× 62 0.5× 43 0.7× 21 0.4× 12 0.5× 7 302
María Rosario Domínguez-Morales 239 0.8× 51 0.4× 75 1.2× 96 1.8× 51 2.0× 9 402
Takuro Higashiura 209 0.7× 60 0.5× 138 2.2× 21 0.4× 28 1.1× 10 400
Jesús Damas-López 176 0.6× 36 0.3× 53 0.8× 67 1.3× 36 1.4× 7 312
Kathryn L. Gwizdala 171 0.6× 62 0.5× 82 1.3× 21 0.4× 10 0.4× 12 359

Countries citing papers authored by Jack De Havas

Since Specialization
Citations

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

Fields of papers citing papers by Jack De Havas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack De Havas. 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 Jack De Havas. The network helps show where Jack De Havas may publish in the future.

Co-authorship network of co-authors of Jack De Havas

This figure shows the co-authorship network connecting the top 25 collaborators of Jack De Havas. A scholar is included among the top collaborators of Jack De Havas 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 Jack De Havas. Jack De Havas 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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