Paul M. Levisohn

54 total papers · 2.3k total citations
24 papers, 1.4k citations indexed

About

Paul M. Levisohn is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Paul M. Levisohn has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 13 papers in Pediatrics, Perinatology and Child Health and 8 papers in Cognitive Neuroscience. Recurrent topics in Paul M. Levisohn's work include Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (10 papers) and EEG and Brain-Computer Interfaces (5 papers). Paul M. Levisohn is often cited by papers focused on Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (10 papers) and EEG and Brain-Computer Interfaces (5 papers). Paul M. Levisohn collaborates with scholars based in United States, Brazil and India. Paul M. Levisohn's co-authors include Michael Frost, Sandra L. Helmers, John R. Gates, Joan A. Conry, James W. Wheless, Gregory L. Barkley, Frank J. Ritter, Tracy A. Glauser, Rǎjesh C. Sachdeo and Janice M. Buelow and has published in prestigious journals such as Neurology, Annals of Neurology and Epilepsia.

In The Last Decade

Paul M. Levisohn

24 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Paul M. Levisohn 890 558 556 374 347 24 1.4k
Nelia Zamponi 857 1.0× 447 0.8× 390 0.7× 488 1.3× 317 0.9× 40 1.4k
Jorge J. Asconapé 1.0k 1.1× 601 1.1× 282 0.5× 170 0.5× 346 1.0× 46 1.7k
Steven V. Pacia 1.1k 1.3× 497 0.9× 654 1.2× 100 0.3× 570 1.6× 33 1.8k
Ji Hyun Kim 580 0.7× 225 0.4× 330 0.6× 196 0.5× 246 0.7× 63 1.4k
Yong D. Park 656 0.7× 221 0.4× 389 0.7× 156 0.4× 390 1.1× 41 1.2k
Eric B. Geller 591 0.7× 155 0.3× 512 0.9× 552 1.5× 369 1.1× 23 1.1k
Jennifer Weston 998 1.1× 947 1.7× 166 0.3× 135 0.4× 293 0.8× 28 1.6k
N. Schaul 875 1.0× 371 0.7× 750 1.3× 92 0.2× 555 1.6× 29 1.6k
Braxton B. Wannamaker 812 0.9× 577 1.0× 216 0.4× 111 0.3× 287 0.8× 32 1.2k
Wolfgang Serles 895 1.0× 340 0.6× 547 1.0× 83 0.2× 463 1.3× 49 1.6k

Countries citing papers authored by Paul M. Levisohn

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Levisohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Levisohn

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