Michael J. Soso

17 total papers · 1.0k total citations
16 papers, 776 citations indexed

About

Michael J. Soso is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Michael J. Soso has authored 16 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Michael J. Soso's work include EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Visual perception and processing mechanisms (4 papers). Michael J. Soso is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Visual perception and processing mechanisms (4 papers). Michael J. Soso collaborates with scholars based in United States, Austria and Spain. Michael J. Soso's co-authors include Eberhard E. Fetz, Dawn A. Marcus, Dom V. Finocchio, Martha J. Farah, Mark Baker, Richard M. Dasheiff, Ettore Lettich, Joseph M. Furman, Patrick J. Sparto and Jack H. Belgum and has published in prestigious journals such as Neurology, Journal of Neurophysiology and Pain.

In The Last Decade

Michael J. Soso

16 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Soso 539 190 188 120 118 16 776
Kim Clark 471 0.9× 395 2.1× 99 0.5× 126 1.1× 94 0.8× 19 872
Stefanie Keulen 467 0.9× 248 1.3× 119 0.6× 97 0.8× 98 0.8× 25 887
Kevin D’Ostilio 408 0.8× 355 1.9× 236 1.3× 102 0.8× 34 0.3× 36 817
Melanie Lenz 416 0.8× 233 1.2× 100 0.5× 97 0.8× 74 0.6× 28 839
Reisaku Tanaka 349 0.6× 257 1.4× 56 0.3× 123 1.0× 81 0.7× 23 663
Frederick W.J. Cody 550 1.0× 259 1.4× 65 0.3× 56 0.5× 81 0.7× 15 892
Suzete Nascimento Farias da Guarda 316 0.6× 300 1.6× 47 0.3× 125 1.0× 59 0.5× 16 759
Thomas Bauermann 350 0.6× 135 0.7× 178 0.9× 39 0.3× 156 1.3× 18 813
Malcolm B. Hawken 411 0.8× 91 0.5× 155 0.8× 53 0.4× 48 0.4× 32 860
Valentina Dilda 243 0.5× 173 0.9× 183 1.0× 43 0.4× 61 0.5× 20 848

Countries citing papers authored by Michael J. Soso

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Soso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Soso. 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 Michael J. Soso. The network helps show where Michael J. Soso may publish in the future.

Co-authorship network of co-authors of Michael J. Soso

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Soso. A scholar is included among the top collaborators of Michael J. Soso 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 Michael J. Soso. Michael J. Soso 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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