David Rauma

754 citations
17 papers · 563 · h-index 12

Impact in

  • Health top 5%
    • Intimate Partner and Family Violence
    • Health disparities and outcomes
    • Employment and Welfare Studies
    • Workplace Health and Well-being

Papers in

David Rauma

17 papers receiving 470 citations

Peers

David Rauma
Comparison fields: 5 of 62
  • Health 83
  • General Health Professions 195
  • Statistics and Probability 64
  • Sociology and Political Science 291
  • Gender Studies 39
Replace Shirley Hatchett with:
Shirley Hatchett United States
David Shichor United States
Charles L. Cappell United States
Alfredo R. Paloyo Australia
Bradley R. Hertel United States
John L. Czajka United States
Alita Nandi United Kingdom
James C. Hackler Canada
Marian J. Borg United States
Corinna Kleinert Germany
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Citations per field
00.5×3.5×
Shirley Hatchett · 1×
Citations per year

Countries citing papers authored by David Rauma

Since Specialization
Citations

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

Fields of papers citing papers by David Rauma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside David Rauma, 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 David Rauma Line = papers co-authored together David Rauma links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1993105
2 199391
3 198380
4 198448
5 198345
6 198139
7 197934
8 198524
9 198717
10 198116
11 198015
12 198213
13 198311
14 199111
15 198210
16 19813
17 19821

About David Rauma

David Rauma is a scholar working on Sociology and Political Science, Economics and Econometrics, General Health Professions, Statistics and Probability and Health, having authored 17 papers that have together received 563 indexed citations. Recurring topics across this work include Criminal Justice and Corrections Analysis (7 papers), Crime Patterns and Interventions (7 papers), Advanced Causal Inference Techniques (2 papers), Law, Economics, and Judicial Systems (2 papers), Employment and Welfare Studies (2 papers), Income, Poverty, and Inequality (2 papers), Crime, Illicit Activities, and Governance (2 papers) and Torture, Ethics, and Law (1 paper). The work is most often cited by research in Health (83 citations), General Health Professions (195 citations), Statistics and Probability (64 citations), Sociology and Political Science (291 citations) and Gender Studies (39 citations). David Rauma has collaborated with scholars based in United States and China. Frequent co-authors include Richard A. Berk, Clifford L. Broman, William S. Hoffman, V. Lee Hamilton, Sheldon L. Messinger, Thomas F. Cooley, Donileen R. Loseke and Sarah Fenstermaker Berk. Their work appears in journals such as Social Science Research, American Sociological Review, Journal of Personality and Social Psychology, The Journal of Criminal Law and Criminology (1973-) and Law & Society Review.

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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