William G. Saylor

1.3k total citations
17 papers, 1.1k citations indexed

About

William G. Saylor is a scholar working on Sociology and Political Science, General Health Professions and Public Administration. According to data from OpenAlex, William G. Saylor has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 6 papers in General Health Professions and 3 papers in Public Administration. Recurrent topics in William G. Saylor's work include Criminal Justice and Corrections Analysis (14 papers), Homelessness and Social Issues (6 papers) and Crime Patterns and Interventions (5 papers). William G. Saylor is often cited by papers focused on Criminal Justice and Corrections Analysis (14 papers), Homelessness and Social Issues (6 papers) and Crime Patterns and Interventions (5 papers). William G. Saylor collaborates with scholars based in United States and United Kingdom. William G. Saylor's co-authors include Scott D. Camp, Gerald G. Gaes, Kevin N. Wright, Neal P. Langan, William Rhodes, Bernadette Pelissier, Eric G. Lambert, Susan Wallace, Alison Liebling and Pamela M. Diamond and has published in prestigious journals such as Journal of Substance Abuse Treatment, Justice Quarterly and Journal of Criminal Justice.

In The Last Decade

William G. Saylor

17 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William G. Saylor United States 14 878 463 353 143 119 17 1.1k
Kevin N. Wright United States 18 911 1.0× 524 1.1× 367 1.0× 80 0.6× 23 0.2× 51 1.1k
Craig Hemmens United States 18 721 0.8× 436 0.9× 233 0.7× 18 0.1× 98 0.8× 100 1.0k
Gaylene S. Armstrong United States 16 839 1.0× 473 1.0× 358 1.0× 155 1.1× 32 0.3× 39 1.1k
Charles A. Lindquist United States 10 604 0.7× 370 0.8× 322 0.9× 97 0.7× 28 0.2× 20 771
Kevin I. Minor United States 17 463 0.5× 317 0.7× 199 0.6× 153 1.1× 21 0.2× 38 741
Lonnie M. Schaible United States 13 419 0.5× 130 0.3× 168 0.5× 37 0.3× 53 0.4× 21 604
Peter Freedman-Doan United States 13 186 0.2× 187 0.4× 122 0.3× 37 0.3× 101 0.8× 25 689
Irshad Altheimer United States 14 441 0.5× 209 0.5× 210 0.6× 108 0.8× 19 0.2× 22 636
Ronald E. Vogel United States 13 444 0.5× 182 0.4× 98 0.3× 37 0.3× 17 0.1× 25 595
Brett Garland United States 18 582 0.7× 299 0.6× 309 0.9× 144 1.0× 22 0.2× 35 831

Countries citing papers authored by William G. Saylor

Since Specialization
Citations

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

Fields of papers citing papers by William G. Saylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Saylor. 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 William G. Saylor. The network helps show where William G. Saylor may publish in the future.

Co-authorship network of co-authors of William G. Saylor

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

All Works

17 of 17 papers shown
1.
Ross, Michael W., Pamela M. Diamond, Alison Liebling, & William G. Saylor. (2008). Measurement of prison social climate. Punishment & Society. 10(4). 447–474. 65 indexed citations
2.
Lambert, Eric G., et al.. (2005). Here today, gone tomorrow, back again the next day: Antecedents of correctional absenteeism. Journal of Criminal Justice. 33(2). 165–175. 136 indexed citations
3.
Pelissier, Bernadette, Scott D. Camp, Gerald G. Gaes, William G. Saylor, & William Rhodes. (2003). Gender differences in outcomes from prison-based residential treatment. Journal of Substance Abuse Treatment. 24(2). 149–160. 92 indexed citations
4.
Camp, Scott D., Gerald G. Gaes, Neal P. Langan, & William G. Saylor. (2003). The influence of prisons on inmate misconduct: A multilevel investigation. Justice Quarterly. 20(3). 501–533. 235 indexed citations
5.
Camp, Scott D., et al.. (2002). Using Inmate Survey Data in Assessing Prison Performance a Case Study Comparing Private and Public Prisons. Criminal Justice Review. 27(1). 26–51. 40 indexed citations
6.
Camp, Scott D., Gerald G. Gaes, & William G. Saylor. (2002). Quality of prison operations in the US federal sector. Punishment & Society. 4(1). 27–53. 29 indexed citations
7.
Pelissier, Bernadette, Susan Wallace, Joyce O'Neil, et al.. (2001). FEDERAL PRISON RESIDENTIAL DRUG TREATMENT REDUCES SUBSTANCE USE AND ARRESTS AFTER RELEASE*. The American Journal of Drug and Alcohol Abuse. 27(2). 315–337. 62 indexed citations
8.
Camp, Scott D., William G. Saylor, & Kevin N. Wright. (2001). Racial diversity of correctional workers and inmates: Organizational commitment, teamwork, and workers' efficacy in prisons. Justice Quarterly. 18(2). 411–427. 11 indexed citations
9.
Rhodes, William, Bernadette Pelissier, Gerald G. Gaes, et al.. (2001). Alternative Solutions to the Problem of Selection Bias in an Analysis of Federal Residential Drug Treatment Programs. Evaluation Review. 25(3). 331–369. 41 indexed citations
10.
Camp, Scott D., et al.. (1997). Affirmative Action and the “Level Playing Field”: Comparing Perceptions of Own and Minority Job Advancement Opportunities. The Prison Journal. 77(3). 313–334. 9 indexed citations
11.
Saylor, William G. & Gerald G. Gaes. (1997). PREP: Training Inmates through Industrial Work Participation, and Vocational and Apprenticeship Instruction. 45 indexed citations
12.
Camp, Scott D., William G. Saylor, & Miles D. Harer. (1997). Aggregating individual-level evaluations of the organizational social climate: A multilevel investigation of the work environment at the Federal Bureau of Prisons. Justice Quarterly. 14(4). 739–761. 21 indexed citations
13.
Wright, Kevin N., et al.. (1997). Job control and occupational outcomes among prison workers. Justice Quarterly. 14(3). 525–546. 78 indexed citations
14.
Camp, Scott D. & William G. Saylor. (1995). Aggregate Work Environment Measures and Job Separations at the Federal Bureau of Prisons. 5 indexed citations
15.
Wright, Kevin N. & William G. Saylor. (1992). A comparison of perceptions of the work environment between minority and non-minority employees of the federal prison system. Journal of Criminal Justice. 20(1). 63–71. 54 indexed citations
16.
Saylor, William G. & Kevin N. Wright. (1992). Status, Longevity, and Perceptions of the Work Environment among Federal Prison Employees. Journal of Offender Rehabilitation. 17(3). 133–160. 69 indexed citations
17.
Wright, Kevin N. & William G. Saylor. (1991). Male and female employees' perceptions of prison work: Is there a difference?. Justice Quarterly. 8(4). 505–524. 87 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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