John L. Wyatt

162 total papers · 3.4k total citations
97 papers, 2.3k citations indexed

About

John L. Wyatt is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, John L. Wyatt has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 46 papers in Cellular and Molecular Neuroscience and 27 papers in Cognitive Neuroscience. Recurrent topics in John L. Wyatt's work include Neuroscience and Neural Engineering (46 papers), Advanced Memory and Neural Computing (31 papers) and EEG and Brain-Computer Interfaces (23 papers). John L. Wyatt is often cited by papers focused on Neuroscience and Neural Engineering (46 papers), Advanced Memory and Neural Computing (31 papers) and EEG and Brain-Computer Interfaces (23 papers). John L. Wyatt collaborates with scholars based in United States, Türkiye and Australia. John L. Wyatt's co-authors include Joseph F. Rizzo, Shawn Kelly, D. B. Shire, John I. Loewenstein, Leon O. Chua, Marcus D. Gingerich, Patrick S. Doyle, William A. Drohan, Luke Theogarajan and Ralph J. Jensen and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Biomedical Engineering and Chemical Engineering Science.

In The Last Decade

John L. Wyatt

94 papers receiving 2.2k 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. Wyatt 1.6k 1.6k 631 340 218 97 2.3k
Dong Song 639 0.4× 1.6k 1.0× 1.7k 2.7× 300 0.9× 127 0.6× 189 2.4k
Socrates Dokos 590 0.4× 974 0.6× 852 1.4× 843 2.5× 345 1.6× 196 2.9k
Stephen P. DeWeerth 982 0.6× 836 0.5× 698 1.1× 1.1k 3.2× 55 0.3× 133 2.3k
Julius Georgiou 994 0.6× 349 0.2× 774 1.2× 582 1.7× 105 0.5× 139 2.3k
R. Jacob Vogelstein 561 0.4× 797 0.5× 1.0k 1.6× 422 1.2× 683 3.1× 54 2.3k
Justin C. Sanchez 628 0.4× 1.8k 1.1× 1.8k 2.9× 573 1.7× 61 0.3× 121 2.9k
Kamran Eshraghian 2.0k 1.2× 489 0.3× 206 0.3× 390 1.1× 42 0.2× 120 2.5k
Zoran Nenadić 401 0.3× 1.1k 0.7× 1.5k 2.4× 689 2.0× 61 0.3× 107 2.1k
Patrick Degenaar 694 0.4× 1.3k 0.9× 574 0.9× 698 2.1× 234 1.1× 129 2.1k
Piotr Dudek 2.5k 1.6× 930 0.6× 886 1.4× 453 1.3× 52 0.2× 112 3.3k

Countries citing papers authored by John L. Wyatt

Since Specialization
Citations

This map shows the geographic impact of John L. Wyatt'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. Wyatt 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. Wyatt more than expected).

Fields of papers citing papers by John L. Wyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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