Kevin J. Vagi

29 total papers · 2.1k total citations
22 papers, 1.5k citations indexed

About

Kevin J. Vagi is a scholar working on Health, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Kevin J. Vagi has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, 9 papers in Clinical Psychology and 9 papers in Sociology and Political Science. Recurrent topics in Kevin J. Vagi's work include Intimate Partner and Family Violence (8 papers), Sexual Assault and Victimization Studies (5 papers) and Child Abuse and Trauma (5 papers). Kevin J. Vagi is often cited by papers focused on Intimate Partner and Family Violence (8 papers), Sexual Assault and Victimization Studies (5 papers) and Child Abuse and Trauma (5 papers). Kevin J. Vagi collaborates with scholars based in United States, Uganda and Tanzania. Kevin J. Vagi's co-authors include Steven A. Hecht, Kathleen C. Basile, Emily O’Malley Olsen, Alana M. Vivolo‐Kantor, Andra Teten Tharp, Natasha E. Latzman, Diane M. Hall, Emily F. Rothman, Matthew J. Breiding and R. Matthew Gladden and has published in prestigious journals such as American Journal of Public Health, Journal of Educational Psychology and Journal of Adolescent Health.

In The Last Decade

Kevin J. Vagi

22 papers receiving 1.4k citations

Hit Papers

Beyond Correlates: A Revi... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kevin J. Vagi 808 551 453 453 321 22 1.5k
Michelle L. Frisco 238 0.3× 363 0.7× 372 0.8× 532 1.2× 213 0.7× 41 1.5k
Holly Johnson 982 1.2× 488 0.9× 338 0.7× 845 1.9× 277 0.9× 49 1.4k
Matthew Hesson-McInnis 105 0.1× 440 0.8× 171 0.4× 560 1.2× 414 1.3× 35 1.5k
Pamella H. Oliver 264 0.3× 755 1.4× 137 0.3× 251 0.6× 53 0.2× 32 1.6k
Andrew Young Choi 160 0.2× 539 1.0× 194 0.4× 390 0.9× 89 0.3× 19 1.4k
Sharon Mihalic 290 0.4× 432 0.8× 596 1.3× 363 0.8× 99 0.3× 10 1.3k
Bernadette Gray‐Little 251 0.3× 566 1.0× 162 0.4× 587 1.3× 207 0.6× 29 1.5k
Neil G. Bennett 385 0.5× 162 0.3× 527 1.2× 503 1.1× 415 1.3× 38 1.7k
Anna S. Mueller 259 0.3× 788 1.4× 288 0.6× 478 1.1× 205 0.6× 44 1.6k
Judith R. Smith 162 0.2× 401 0.7× 281 0.6× 663 1.5× 289 0.9× 17 1.6k

Countries citing papers authored by Kevin J. Vagi

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Vagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Vagi. 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 Kevin J. Vagi. The network helps show where Kevin J. Vagi may publish in the future.

Co-authorship network of co-authors of Kevin J. Vagi

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Vagi. A scholar is included among the top collaborators of Kevin J. Vagi 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 Kevin J. Vagi. Kevin J. Vagi 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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