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Laura Overman

Biographic Data

ID6030755
NAMELaura Overman
GIVEN NAMESLaura
FAMILY NAMEOverman
SIGNATUREOVERMAN L
AFFILIATIONSCase Western Reserve University
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS10
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Using machine learning to assess rape reports

    Open Access•Rachel Lovell, Rachel E Lovell et al.•ARTICLE•Journal of Criminal Justice•2023•References: 28

  • Using machine learning to assess rape reports

    Open Access•Rachel Lovell, Rachel E Lovell et al.•ARTICLE•Journal of Criminal Justice•2023•Cited by: 1•References: 51

  • Offending Histories and Typologies of Suspected Sexual Offenders Identified Via Untested Sexual Assault Kits

    Open Access•Rachel Lovell, Wenxuan Huang et al.•ARTICLE•Criminal Justice and Behavior•2020

    In this study, we present findings that detail the criminal offending histories and typologies of suspected sexual offenders identified from an initiative to follow up on the testing of thousands of previously untested sexual assault kits (SAKs). This study advances our understanding of sexual offenders by incorporating data from criminal justice system records (“detected” criminal offending) with data from newly tested SAKs that were not previou…

  • Offending patterns for serial sex offenders identified via the DNA testing of previously unsubmitted sexual assault kits

    Open Access•Rachel Lovell, Misty Luminais et al.•ARTICLE•Journal of Criminal Justice•2017•Cited by: 9•References: 52

  • Academic Resilience in Mathematics among Poor and Minority Students

    Geoffrey D Borman, Laura Overman et al.•ARTICLE•The Elementary School Journal•2004

    Based on national data from the Prospects study, we identified the individual characteristics that distinguished academically successful, or resilient, elementary school students from minority and low-socioeconomic-status (SES) backgrounds from their less successful, or nonresilient, counterparts. We also formulated and tested 4 models of the risk factors and resilience-promoting features of schools: (a) effective schools; (b) peer group composit…

  • Offending patterns for serial sex offenders identified via the DNA testing of previously unsubmitted sexual assault kits

    Open Access•Rachel Lovell, Misty Luminais et al.•ARTICLE•Journal of Criminal Justice•2017•Cited by: 9•References: 52

  • Using machine learning to assess rape reports

    Open Access•Rachel Lovell, Rachel E Lovell et al.•ARTICLE•Journal of Criminal Justice•2023•Cited by: 1•References: 51

  • Academic Resilience in Mathematics among Poor and Minority Students

    Geoffrey D Borman, Laura Overman et al.•ARTICLE•The Elementary School Journal•2004

    Based on national data from the Prospects study, we identified the individual characteristics that distinguished academically successful, or resilient, elementary school students from minority and low-socioeconomic-status (SES) backgrounds from their less successful, or nonresilient, counterparts. We also formulated and tested 4 models of the risk factors and resilience-promoting features of schools: (a) effective schools; (b) peer group composit…

  • Offending patterns for serial sex offenders identified via the DNA testing of previously unsubmitted sexual assault kits

    Open Access•Rachel Lovell, Misty Luminais et al.•ARTICLE•Journal of Criminal Justice•2017•Cited by: 9•References: 52

  • Offending Histories and Typologies of Suspected Sexual Offenders Identified Via Untested Sexual Assault Kits

    Open Access•Rachel Lovell, Wenxuan Huang et al.•ARTICLE•Criminal Justice and Behavior•2020

    In this study, we present findings that detail the criminal offending histories and typologies of suspected sexual offenders identified from an initiative to follow up on the testing of thousands of previously untested sexual assault kits (SAKs). This study advances our understanding of sexual offenders by incorporating data from criminal justice system records (“detected” criminal offending) with data from newly tested SAKs that were not previou…

  • Using machine learning to assess rape reports

    Open Access•Rachel Lovell, Rachel E Lovell et al.•ARTICLE•Journal of Criminal Justice•2023•References: 28

  • Using machine learning to assess rape reports

    Open Access•Rachel Lovell, Rachel E Lovell et al.•ARTICLE•Journal of Criminal Justice•2023•Cited by: 1•References: 51

Psychology (5 works) · Sexual Assault and Victimization Studies (4 works) · Social Psychology (3 works) · Computational and Text Analysis Methods (2 works) · Credibility (2 works) · Criminal Justice and Corrections Analysis (2 works) · Criminology (2 works) · Jurisdiction (2 works) · Law (2 works) · Law (2 works)

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