Kimberly Hassell

140 total papers · 881 total citations
30 papers, 638 citations indexed

About

Kimberly Hassell is a scholar working on Political Science and International Relations, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Kimberly Hassell has authored 30 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Political Science and International Relations, 15 papers in Sociology and Political Science and 7 papers in Gender Studies. Recurrent topics in Kimberly Hassell's work include Policing Practices and Perceptions (14 papers), Crime Patterns and Interventions (13 papers) and Sexual Assault and Victimization Studies (5 papers). Kimberly Hassell is often cited by papers focused on Policing Practices and Perceptions (14 papers), Crime Patterns and Interventions (13 papers) and Sexual Assault and Victimization Studies (5 papers). Kimberly Hassell collaborates with scholars based in United States, United Kingdom and Slovenia. Kimberly Hassell's co-authors include Carol A. Archbold, Amy J. Stichman, Steven G. Brandl, Jihong Zhao, Edward R. Maguire, Jennifer Wilkinson, Jennifer Harris, Anthony Rogers, Craig D. Uchida and Seston Em and has published in prestigious journals such as Family Practice, Journal of Criminal Justice and Crime & Delinquency.

In The Last Decade

Kimberly Hassell

24 papers receiving 558 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kimberly Hassell 368 356 210 95 75 30 638
James Burk 275 0.7× 338 0.9× 114 0.5× 42 0.4× 15 0.2× 38 670
Dean A. Dabney 115 0.3× 477 1.3× 44 0.2× 92 1.0× 65 0.9× 40 666
Lisa Dodson 57 0.2× 357 1.0× 182 0.9× 265 2.8× 26 0.3× 28 760
Dorothy Wedderburn 104 0.3× 297 0.8× 41 0.2× 218 2.3× 110 1.5× 28 713
June Edmunds 103 0.3× 422 1.2× 60 0.3× 121 1.3× 21 0.3× 24 784
Michael J. Long 151 0.4× 317 0.9× 22 0.1× 177 1.9× 40 0.5× 19 747
Joe C. B. Leung 251 0.7× 358 1.0× 35 0.2× 263 2.8× 104 1.4× 22 652
Kenneth Prandy 109 0.3× 420 1.2× 61 0.3× 88 0.9× 139 1.9× 32 635
Ernest Chui 64 0.2× 339 1.0× 49 0.2× 284 3.0× 153 2.0× 48 783
Lut Mergaert 96 0.3× 143 0.4× 302 1.4× 35 0.4× 97 1.3× 29 691

Countries citing papers authored by Kimberly Hassell

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Hassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Hassell

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

All Works

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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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