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Danielle Sabo

Biographic Data

ID6030839
NAMEDanielle Sabo
GIVEN NAMESDanielle
FAMILY NAMESabo
SIGNATURESABO D
AFFILIATIONSCleveland State University
ORCID0000-0002-8554-3770
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1
  • “There’s Gotta’ be a Better way … There was Nothing Empowering About any of it”

    Open Access•Rachel Lovell, Danielle Sabo et al.•ARTICLE•Violence Against Women•2025

    We examine the experiences of survivors immediately after a sexual assault and the barriers and facilitators to care—when survivors face numerous urgent decisions including possible help-seeking and sexual assault kit collection. We find their choices are often based on incomplete knowledge about the medical process and influenced by misleading media tropes of postassault experiences. Survivors must navigate complex decision-making while coping w…

  • 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

  • Understanding the Geography of Rape through the Integration of Data

    Open Access•Rachel Lovell, Danielle Sabo et al.•ARTICLE•International Journal of…•2022

    Environmental criminological research on rape series is an understudied field due largely to deficiencies in official and publicly available data. Additionally, little is known about the spatial patterns of rapists with a large number of stranger rapes. With a unique integration and application of spatial, temporal, behavioral, forensic, investigative, and personal history data, we explore the geography of rape of a prolific, mobile serial strang…

  • 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

  • Understanding the Geography of Rape through the Integration of Data

    Open Access•Rachel Lovell, Danielle Sabo et al.•ARTICLE•International Journal of…•2022

    Environmental criminological research on rape series is an understudied field due largely to deficiencies in official and publicly available data. Additionally, little is known about the spatial patterns of rapists with a large number of stranger rapes. With a unique integration and application of spatial, temporal, behavioral, forensic, investigative, and personal history data, we explore the geography of rape of a prolific, mobile serial strang…

  • 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

  • “There’s Gotta’ be a Better way … There was Nothing Empowering About any of it”

    Open Access•Rachel Lovell, Danielle Sabo et al.•ARTICLE•Violence Against Women•2025

    We examine the experiences of survivors immediately after a sexual assault and the barriers and facilitators to care—when survivors face numerous urgent decisions including possible help-seeking and sexual assault kit collection. We find their choices are often based on incomplete knowledge about the medical process and influenced by misleading media tropes of postassault experiences. Survivors must navigate complex decision-making while coping w…

Political science (4 works) · Psychology (4 works) · Sexual Assault and Victimization Studies (4 works) · Law (3 works) · Law (3 works) · Social Psychology (3 works) · Computational and Text Analysis Methods (2 works) · Computer Science (2 works) · Credibility (2 works) · Criminology (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