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Joanna Klingenstein

Biographic Data

ID6030837
NAMEJoanna Klingenstein
GIVEN NAMESJoanna
FAMILY NAMEKlingenstein
SIGNATUREKLINGENSTEIN J
AFFILIATIONSCase Western Reserve University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
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…

  • 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…

  • 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 (3 works) · Sexual Assault and Victimization Studies (3 works) · Computational and Text Analysis Methods (2 works) · Credibility (2 works) · Criminology (2 works) · Jurisdiction (2 works) · Law (2 works) · Law (2 works) · Political science (2 works) · Social Psychology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae