Faye S. Taxman

7.9k total citations
253 papers, 5.2k citations indexed

About

Faye S. Taxman is a scholar working on Sociology and Political Science, Clinical Psychology and General Health Professions. According to data from OpenAlex, Faye S. Taxman has authored 253 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Sociology and Political Science, 109 papers in Clinical Psychology and 102 papers in General Health Professions. Recurrent topics in Faye S. Taxman's work include Criminal Justice and Corrections Analysis (114 papers), Substance Abuse Treatment and Outcomes (86 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (68 papers). Faye S. Taxman is often cited by papers focused on Criminal Justice and Corrections Analysis (114 papers), Substance Abuse Treatment and Outcomes (86 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (68 papers). Faye S. Taxman collaborates with scholars based in United States, Australia and United Kingdom. Faye S. Taxman's co-authors include Douglas W. Young, James M. Byrne, Jeffrey A. Bouffard, Michael S. Caudy, Steven Belenko, Danielle S. Rudes, Peter D. Friedmann, Craig E. Henderson, Jill Viglione and Meridith Hill Thanner and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Faye S. Taxman

241 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faye S. Taxman United States 37 3.0k 2.4k 1.9k 1.7k 573 253 5.2k
TK Logan United States 43 3.2k 1.1× 2.2k 0.9× 1.5k 0.8× 971 0.6× 317 0.6× 214 5.9k
Flavio F. Marsiglia United States 41 1.8k 0.6× 2.3k 1.0× 2.0k 1.0× 1.2k 0.7× 455 0.8× 206 5.3k
Monica H. Swahn United States 37 1.2k 0.4× 2.0k 0.8× 1.6k 0.8× 1.1k 0.6× 377 0.7× 190 4.8k
Regina Otero‐Sabogal United States 27 1.6k 0.5× 1.3k 0.5× 1.5k 0.8× 674 0.4× 791 1.4× 41 4.9k
Guillermo Prado United States 39 1.2k 0.4× 2.4k 1.0× 2.2k 1.1× 930 0.5× 694 1.2× 191 5.4k
Fabio Sabogal United States 24 1.6k 0.5× 1.2k 0.5× 1.3k 0.7× 702 0.4× 728 1.3× 39 4.7k
H.F.L. Garretsen Netherlands 23 1.2k 0.4× 869 0.4× 1.1k 0.5× 1.3k 0.8× 700 1.2× 120 3.8k
Suzanne L. Wenzel United States 38 1.3k 0.4× 853 0.4× 3.0k 1.6× 1.1k 0.6× 234 0.4× 159 4.2k
Phoenix K. H. Mo Hong Kong 38 1.5k 0.5× 1.3k 0.5× 1.3k 0.7× 791 0.5× 328 0.6× 199 4.7k
Patrick M. Flynn United States 32 537 0.2× 1.1k 0.5× 1.5k 0.8× 1.9k 1.1× 731 1.3× 118 3.9k

Countries citing papers authored by Faye S. Taxman

Since Specialization
Citations

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

Fields of papers citing papers by Faye S. Taxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faye S. Taxman. 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 Faye S. Taxman. The network helps show where Faye S. Taxman may publish in the future.

Co-authorship network of co-authors of Faye S. Taxman

This figure shows the co-authorship network connecting the top 25 collaborators of Faye S. Taxman. A scholar is included among the top collaborators of Faye S. Taxman 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 Faye S. Taxman. Faye S. Taxman 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.
Johnson, Jennifer E., et al.. (2025). County Characteristics Associated with Implementation Strategies to Reform the Use of Jail for People with Behavioral Health Problems. Criminal Justice and Behavior. 53(1). 119–139.
2.
Pozo, Brandon del, Steven Belenko, Faye S. Taxman, et al.. (2024). Then a miracle occurs: cause, effect, and the heterogeneity of criminal justice research. Journal of Experimental Criminology. 21(2). 689–713. 2 indexed citations
3.
Zhao, Xiaoquan, Bruce G. Taylor, Phoebe A. Lamuda, et al.. (2023). Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage. Social Science & Medicine. 335. 116233–116233. 2 indexed citations
4.
Pollack, Harold A., John A. Schneider, & Faye S. Taxman. (2023). An Inclusive Approach to Addiction Care—Helping the Helpers. JAMA Health Forum. 4(5). e230981–e230981. 2 indexed citations
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Taxman, Faye S., et al.. (2023). Improving Probation Outcomes for Emerging Adults: An Experiment Evaluating a Specialized Caseload in Texas. 9(5). 618–640. 1 indexed citations
8.
Rudes, Danielle S., Faye S. Taxman, Tess K. Drazdowski, et al.. (2022). Juvenile Probation Officer Perceptions of Parental Involvement in Juvenile Probation and With Contingency Management. Criminal Justice and Behavior. 50(1). 40–55. 1 indexed citations
9.
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Lee, Jo Ann, Faye S. Taxman, Edward P. Mulvey, & Carol A. Schubert. (2021). Who Will Become Productive Adults? Longitudinal Patterns of Gainful Activities Among Serious Adolescent Offenders. Youth & Society. 54(7). 1150–1177. 1 indexed citations
11.
Debus-Sherrill, Sara, et al.. (2021). What Makes or Breaks Evidence-Based Supervision? Staff and Organizational Predictors of Evidence-Based Practice in Probation. International Journal of Offender Therapy and Comparative Criminology. 67(6-7). 662–686. 3 indexed citations
12.
Taxman, Faye S.. (2020). Violence Reduction Using The Principles Of Risk-Need-Responsivity. eYLS (Yale Law School). 103(3). 1149. 1 indexed citations
13.
Cunningham, William E., Robin M. Nance, Carol E. Golin, et al.. (2019). Self-reported antiretroviral therapy adherence and viral load in criminal justice-involved populations. BMC Infectious Diseases. 19(1). 913–913. 6 indexed citations
14.
Gordon, Michael, Frank J. Vocci, Faye S. Taxman, et al.. (2019). A randomized controlled trial of buprenorphine for probationers and parolees: Bridging the gap into treatment. Contemporary Clinical Trials. 79. 21–27. 7 indexed citations
15.
Odio, Camila D., Megan K. Carroll, Susan Glass, et al.. (2018). Evaluating concurrent validity of criminal justice and clinical assessments among women on probation. Health & Justice. 6(1). 7–7. 4 indexed citations
16.
Wooditch, Alese, et al.. (2018). Prevalence, Diagnosis, and Treatment Rates of Mood Disorders among Opioid Users under Criminal Justice Supervision. Substance Use & Misuse. 53(9). 1519–1528. 10 indexed citations
17.
Blasko, Brandy L., et al.. (2016). Performance Measures in Community Corrections: Measuring Effective Supervision Practices with Existing Agency Data. 80(3). 26. 3 indexed citations
18.
Taxman, Faye S., et al.. (2015). Motivational tools to improve probationer treatment outcomes. Contemporary Clinical Trials. 43. 120–128. 15 indexed citations
19.
Taxman, Faye S., et al.. (2015). Motivational Interviewing Fidelity in a Community Corrections Setting: Treatment Initiation and Subsequent Drug Use. Journal of Substance Abuse Treatment. 65. 20–25. 18 indexed citations
20.
Walters, Scott T., et al.. (2013). MAPIT: Development of a web-based intervention targeting substance abuse treatment in the criminal justice system. Journal of Substance Abuse Treatment. 46(1). 60–65. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by TK Logan Breakdown of academic impact, for papers by Flavio F. Marsiglia Breakdown of academic impact, for papers by Monica H. Swahn Breakdown of academic impact, for papers by Regina Otero‐Sabogal Breakdown of academic impact, for papers by Guillermo Prado Breakdown of academic impact, for papers by Fabio Sabogal Breakdown of academic impact, for papers by H.F.L. Garretsen Breakdown of academic impact, for papers by Suzanne L. Wenzel Breakdown of academic impact, for papers by Phoenix K. H. Mo Breakdown of academic impact, for papers by Patrick M. Flynn
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