Jeff Ackerman

819 total citations
11 papers, 479 citations indexed

About

Jeff Ackerman is a scholar working on Sociology and Political Science, Health and General Health Professions. According to data from OpenAlex, Jeff Ackerman has authored 11 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 6 papers in Health and 4 papers in General Health Professions. Recurrent topics in Jeff Ackerman's work include Crime Patterns and Interventions (7 papers), Criminal Justice and Corrections Analysis (6 papers) and Intimate Partner and Family Violence (6 papers). Jeff Ackerman is often cited by papers focused on Crime Patterns and Interventions (7 papers), Criminal Justice and Corrections Analysis (6 papers) and Intimate Partner and Family Violence (6 papers). Jeff Ackerman collaborates with scholars based in United States, Australia and Hong Kong. Jeff Ackerman's co-authors include Jennifer Schwartz, Hua Zhong, Darrell Steffensmeier, Richard B. Felson, Stuart A. Kinner, Justin Ready, Christine Bond, Mike Allen, Judith Weiner and Tara M. Emmers‐Sommer and has published in prestigious journals such as Journal of Marriage and the Family, Criminology and Violence and Victims.

In The Last Decade

Jeff Ackerman

10 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Ackerman United States 8 379 197 165 97 80 11 479
Michelle Manasse United States 9 226 0.6× 74 0.4× 117 0.7× 53 0.5× 34 0.4× 14 332
Glen A. Kercher United States 11 366 1.0× 248 1.3× 368 2.2× 85 0.9× 165 2.1× 14 609
Anna E. Kosloski United States 10 375 1.0× 70 0.4× 326 2.0× 66 0.7× 43 0.5× 19 498
Egbert Zavala United States 13 298 0.8× 199 1.0× 125 0.8× 62 0.6× 79 1.0× 40 413
Maureen Outlaw United States 6 197 0.5× 214 1.1× 83 0.5× 65 0.7× 105 1.3× 8 321
Kristi Holsinger United States 8 399 1.1× 120 0.6× 386 2.3× 147 1.5× 44 0.6× 12 572
Johann Koehler United Kingdom 6 167 0.4× 122 0.6× 181 1.1× 50 0.5× 50 0.6× 16 319
Ryan T. Shields United States 13 249 0.7× 55 0.3× 257 1.6× 40 0.4× 71 0.9× 25 361
Nanci Koser Wilson United States 6 370 1.0× 425 2.2× 153 0.9× 117 1.2× 206 2.6× 11 581
George B. Palermo United States 15 356 0.9× 131 0.7× 361 2.2× 25 0.3× 20 0.3× 46 518

Countries citing papers authored by Jeff Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Ackerman. 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 Jeff Ackerman. The network helps show where Jeff Ackerman may publish in the future.

Co-authorship network of co-authors of Jeff Ackerman

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

All Works

11 of 11 papers shown
1.
Ackerman, Jeff, et al.. (2022). Exploring the effects of community disadvantage and remoteness on Indigenous and non-Indigenous peoples’ risk of reincarceration. Griffith Research Online (Griffith University, Queensland, Australia). 55(2). 144–161.
2.
3.
Ackerman, Jeff, et al.. (2018). Prison Life and Prior Social Experiences: Understanding their Importance for Indigenous Peoples’ Re-entry Outcomes. The British Journal of Criminology. 59(1). 188–208. 6 indexed citations
4.
Ackerman, Jeff, et al.. (2011). The Gender Asymmetric Effect of Intimate Partner Violence on Relationship Satisfaction. Violence and Victims. 26(6). 703–724. 27 indexed citations
5.
Schwartz, Jennifer, Darrell Steffensmeier, Hua Zhong, & Jeff Ackerman. (2009). TRENDS IN THE GENDER GAP IN VIOLENCE: REEVALUATING NCVS AND OTHER EVIDENCE*. Criminology. 47(2). 401–425. 49 indexed citations
6.
Steffensmeier, Darrell, et al.. (2005). Gender Gap Trends for Violent Crimes, 1980 to 2003. Feminist Criminology. 1(1). 72–98. 83 indexed citations
7.
Steffensmeier, Darrell, Jennifer Schwartz, Hua Zhong, & Jeff Ackerman. (2005). AN ASSESSMENT OF RECENT TRENDS IN GIRLS' VIOLENCE USING DIVERSE LONGITUDINAL SOURCES: IS THE GENDER GAP CLOSING?. Criminology. 43(2). 355–406. 208 indexed citations
8.
Emmers‐Sommer, Tara M., Mike Allen, John Bourhis, et al.. (2004). A meta‐analysis of the relationship between social skills and sexual offenders. Communication Reports. 17(1). 1–10. 17 indexed citations
9.
Felson, Richard B., et al.. (2003). The Infrequency of Family Violence. Journal of Marriage and the Family. 65(3). 622–634. 22 indexed citations
10.
Felson, Richard B. & Jeff Ackerman. (2001). ARREST FOR DOMESTIC AND OTHER ASSAULTS*. Criminology. 39(3). 655–676. 54 indexed citations
11.
Schwartz, Jennifer & Jeff Ackerman. (2001). IN SEARCH OF A DEPENDENT VARIABLE: COMMENT ON AVAKAME, 1998*. Criminology. 39(4). 969–980. 4 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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