Paul M. Lerner

55 total papers · 492 total citations
39 papers, 342 citations indexed

About

Paul M. Lerner is a scholar working on Clinical Psychology, Applied Psychology and General Psychology. According to data from OpenAlex, Paul M. Lerner has authored 39 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Clinical Psychology, 15 papers in Applied Psychology and 8 papers in General Psychology. Recurrent topics in Paul M. Lerner's work include Psychotherapy Techniques and Applications (17 papers), Psychological Testing and Assessment (15 papers) and Personality Disorders and Psychopathology (9 papers). Paul M. Lerner is often cited by papers focused on Psychotherapy Techniques and Applications (17 papers), Psychological Testing and Assessment (15 papers) and Personality Disorders and Psychopathology (9 papers). Paul M. Lerner collaborates with scholars based in United States and Belgium. Paul M. Lerner's co-authors include Howard D. Lerner and has published in prestigious journals such as American Journal of Psychiatry, Clinical Psychology Review and The Journal of Nervous and Mental Disease.

In The Last Decade

Paul M. Lerner

37 papers receiving 268 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. Lerner 281 184 62 32 25 39 342
Zygmunt A. Piotrowski 153 0.5× 107 0.6× 32 0.5× 32 1.0× 25 1.0× 42 308
Sherwood Waldron 310 1.1× 69 0.4× 52 0.8× 58 1.8× 17 0.7× 21 342
Robert G. Gibby 126 0.4× 94 0.5× 36 0.6× 57 1.8× 15 0.6× 28 306
Virginia Brabender 214 0.8× 79 0.4× 13 0.2× 110 3.4× 22 0.9× 50 351
Arnold Rothstein 262 0.9× 25 0.1× 62 1.0× 47 1.5× 9 0.4× 41 340
Haim Weinberg 218 0.8× 99 0.5× 12 0.2× 116 3.6× 17 0.7× 31 362
Steven Tuber 280 1.0× 139 0.8× 9 0.1× 101 3.2× 16 0.6× 29 379
Judith Fingert Chused 345 1.2× 25 0.1× 118 1.9× 65 2.0× 12 0.5× 24 394
Robert Tyson 232 0.8× 19 0.1× 32 0.5× 54 1.7× 30 1.2× 30 325
Radhika Krishnamurthy 223 0.8× 227 1.2× 25 0.4× 48 1.5× 15 0.6× 18 319

Countries citing papers authored by Paul M. Lerner

Since Specialization
Citations

This map shows the geographic impact of Paul M. Lerner'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. Lerner 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. Lerner more than expected).

Fields of papers citing papers by Paul M. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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