Jay P. Singh

1.1k total citations · 1 hit paper
27 papers, 777 citations indexed

About

Jay P. Singh is a scholar working on Clinical Psychology, Sociology and Political Science and Health. According to data from OpenAlex, Jay P. Singh has authored 27 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 12 papers in Sociology and Political Science and 5 papers in Health. Recurrent topics in Jay P. Singh's work include Psychopathy, Forensic Psychiatry, Sexual Offending (12 papers), Crime Patterns and Interventions (8 papers) and Criminal Justice and Corrections Analysis (7 papers). Jay P. Singh is often cited by papers focused on Psychopathy, Forensic Psychiatry, Sexual Offending (12 papers), Crime Patterns and Interventions (8 papers) and Criminal Justice and Corrections Analysis (7 papers). Jay P. Singh collaborates with scholars based in United States, Germany and Norway. Jay P. Singh's co-authors include Astrid Rossegger, Jérôme Endrass, Tess M. S. Neal, Richard A. Van Dorn, Pál Czobor, Jan Volavka, Karen Nylund‐Gibson, Amy Bellmore, Melissa R. Witkow and Adrienne Nishina and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Marketing.

In The Last Decade

Jay P. Singh

25 papers receiving 689 citations

Hit Papers

Performance Productivity and Quality of Frontline Employe... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay P. Singh United States 8 444 269 156 141 137 27 777
Bart L. Weathington United States 13 346 0.8× 180 0.7× 183 1.2× 243 1.7× 42 0.3× 25 855
Michelle Singer Foust United States 3 291 0.7× 203 0.8× 113 0.7× 208 1.5× 42 0.3× 5 646
Noah Eisenkraft United States 13 242 0.5× 318 1.2× 111 0.7× 288 2.0× 61 0.4× 29 705
Susan Morgan Australia 11 221 0.5× 104 0.4× 220 1.4× 154 1.1× 48 0.4× 24 668
Timothy DeGroot United States 10 476 1.1× 257 1.0× 191 1.2× 384 2.7× 37 0.3× 16 972
Deborah M. Powell Canada 16 477 1.1× 266 1.0× 170 1.1× 295 2.1× 24 0.2× 46 820
Olivia Amanda O’Neill United States 13 340 0.8× 246 0.9× 87 0.6× 237 1.7× 14 0.1× 25 766
Russell P. Guay United States 11 324 0.7× 170 0.6× 111 0.7× 246 1.7× 57 0.4× 18 665
Cynthia Mathieu Canada 13 330 0.7× 266 1.0× 434 2.8× 312 2.2× 20 0.1× 39 978
Shenjiang Mo China 12 477 1.1× 209 0.8× 65 0.4× 136 1.0× 34 0.2× 32 763

Countries citing papers authored by Jay P. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Singh. 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 Jay P. Singh. The network helps show where Jay P. Singh may publish in the future.

Co-authorship network of co-authors of Jay P. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Jay P. Singh. A scholar is included among the top collaborators of Jay P. Singh 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 Jay P. Singh. Jay P. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Jay P., et al.. (2025). Classical Indian Dance Genres for Better Mental Health: Revisiting Empirical Evidences. 13(4). 15–24. 1 indexed citations
3.
Endrass, Jérôme, et al.. (2024). Hindsight Bias in Forensic Mental Health Novices and Experts: An Exploratory Study. Journal of Forensic Psychology Research and Practice. 25(5). 913–929. 1 indexed citations
4.
Endrass, Jérôme, et al.. (2022). Exploring the mental healthcare needs of Swiss pre-trial detainees: A pilot investigation of an on-site psychiatric day clinic. Frontiers in Psychiatry. 13. 924861–924861. 1 indexed citations
5.
Neal, Tess M. S., et al.. (2022). A general model of cognitive bias in human judgment and systematic review specific to forensic mental health.. Law and Human Behavior. 46(2). 99–120. 45 indexed citations
6.
Nylund‐Gibson, Karen, et al.. (2022). The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction. Behavioral Disorders. 48(2). 106–120. 43 indexed citations
7.
Batastini, Ashley B., et al.. (2022). Technological Innovations in Forensic and Correctional Mental Health: An Introduction to the Special Issue. Criminal Justice and Behavior. 50(2). 167–174. 1 indexed citations
8.
Gonçalves, Leonel C., Stéphanie Baggio, Michael Weber, et al.. (2021). COVID-19 Inmate Risk Appraisal (CIRA): development and validation of a screening tool to assess COVID-19 vulnerability in prisons. Swiss Medical Weekly. 151(506). w20471–w20471. 4 indexed citations
9.
Gonçalves, Leonel C., Stéphanie Baggio, Michael Weber, et al.. (2021). Recidivism in Switzerland: the influence of custodial sanctions. Swiss Medical Weekly. 151(1112). w20462–w20462. 1 indexed citations
10.
Gonçalves, Leonel C., et al.. (2018). Sexual Sadism Among Sex Offenders in Switzerland. Sexual Abuse. 32(1). 79–100. 14 indexed citations
11.
Rossegger, Astrid, et al.. (2014). Replicating the Violence Risk Appraisal Guide: A Total Forensic Cohort Study. PLoS ONE. 9(3). e91845–e91845. 14 indexed citations
12.
Arbach, Karin, Santiago Redondo, Jay P. Singh, & Antonio Andrés Pueyo. (2014). Violent Crimes in Native and Foreign National Offenders. SSRN Electronic Journal. 1 indexed citations
13.
Arbach, Karin, et al.. (2014). Violent crimes in native and foreign national offenders. International journal of law, crime and justice. 42(2). 162–173. 5 indexed citations
14.
Singh, Jay P., Sarah L. Desmarais, & Richard A. Van Dorn. (2013). Measurement of Predictive Validity in Violence Risk Assessment Studies: A Second‐Order Systematic Review. Behavioral Sciences & the Law. 31(1). 55–73. 3 indexed citations
15.
Rossegger, Astrid, et al.. (2013). The prediction of criminal recidivism using routinely available file information. SHILAP Revista de lepidopterología. 6(2). 8–14. 3 indexed citations
16.
Singh, Jay P.. (2013). Predictive Validity Performance Indicators in Violence Risk Assessment: A Methodological Primer. Behavioral Sciences & the Law. 31(1). 8–22. 5 indexed citations
17.
Rossegger, Astrid, et al.. (2013). Examining the Predictive Validity of the SORAG in Switzerland. 8(2). 4 indexed citations
18.
Singh, Jay P.. (2012). Development of the Metareview Assessment of Reporting Quality (MARQ) Checklist. SHILAP Revista de lepidopterología. 60(4). 325–332. 8 indexed citations
19.
Singh, Jay P., Jan Volavka, Pál Czobor, & Richard A. Van Dorn. (2012). A Meta-Analysis of the Val158Met COMT Polymorphism and Violent Behavior in Schizophrenia. PLoS ONE. 7(8). e43423–e43423. 41 indexed citations
20.
Singh, Jay P., Martin Grann, & Seena Fazel. (2011). A Comparative Study of Violence Risk Assessment Tools: A Systematic Review and Metaregression Analysis of 68 Studies Involving 25,980 Participants. SSRN Electronic Journal. 2 indexed citations

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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