Inna Levy

427 citations
29 papers · 285 · h-index 12

Impact in

    • COVID-19 and Mental Health
    • Posttraumatic Stress Disorder Research
    • Migration, Health and Trauma
    • Intimate Partner and Family Violence

Papers in

Inna Levy

26 papers receiving 273 citations

Peers

Inna Levy
Comparison fields: 5 of 58
  • Clinical Psychology 102
  • Health 32
  • Gender Studies 31
  • Applied Psychology 13
  • Sociology and Political Science 108
Replace Caitlyn N. Muniz with:
Caitlyn N. Muniz United States
Keren Cohen‐Louck Israel
Wanda E. Leal United States
Fadime Kaya Türkiye
Erica E. Nason United States
Michael TenEyck United States
Whitney D. Gunter United States
Hye Min Kim United States
Eric Filice Canada
Ajima Olaghere United States
Inna Levy relative to Caitlyn N. Muniz United States Caitlyn N. Muniz's profile →
Citations per field
00.5×1.5×
Caitlyn N. Muniz · 1×
Citations per year

Countries citing papers authored by Inna Levy

Since Specialization
Citations

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

Fields of papers citing papers by Inna Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Inna Levy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inna Levy Line = papers co-authored together Inna Levy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202126
2 202124
3 201821
4 201921
5 201821
6 201521
7 202118
8 202016
9 202213
10 201312
11 202012
12 202011
13 201711
14 202210
15 20168
16 20176
17 20215
18 20225
19 20215
20 20215

About Inna Levy

Inna Levy is a scholar working on Sociology and Political Science, Clinical Psychology, Health, Gender Studies and Molecular Biology, having authored 29 papers that have together received 285 indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (5 papers), Social and Intergroup Psychology (4 papers), Criminal Justice and Corrections Analysis (4 papers), Sexual Assault and Victimization Studies (4 papers), COVID-19 and Mental Health (3 papers), Resilience and Mental Health (3 papers), Intimate Partner and Family Violence (3 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Clinical Psychology (102 citations), Health (32 citations), Gender Studies (31 citations), Applied Psychology (13 citations) and Sociology and Political Science (108 citations). Inna Levy has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Keren Cohen‐Louck, Sarah Ben‐David, Eyal Eckhaus, Sergio Herzog, Zachary T. Sharfman, Eric D. Fornari, David S. Geller, Sun Jin Kim and Paul E. Levin. Their work appears in journals such as Psychological Trauma Theory Research Practice and Policy, International Journal of Offender Therapy and Comparative Criminology, Frontiers in Psychology, British Food Journal and Group Processes & Intergroup Relations.

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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