Jeff Larson

462 citations
6 papers · 263 · 1 hit paper · h-index 4

Impact in

Papers in

Journals
Mobilization An International Quarterly (1 paper)Social Forces (1 paper)Emerald Group Publishing Limited eBooks (1 paper)Auerbach Publications eBooks (2 papers)
Partner nations
United States

In The Last Decade

Jeff Larson

6 papers receiving 254 citations

Jeff Larson's Hit Papers

Machine Bias * 2022 · 213 citations
2130+1+2Years since publication50100150200

Peers

Jeff Larson
Comparison fields: 5 of 52
  • Safety Research 155
  • Health Informatics 7
  • Artificial Intelligence 49
  • General Decision Sciences 3
  • Organizational Behavior and Human Resource Management 10
Replace Micah Carroll with:
Micah Carroll United States
Evan DeFilippis United States
Jennifer Sutcliffe United States
Aisel Akhmedova United States
Amanda Coston United States
Salomé Viljoen United States
Markus Anderljung United Kingdom
Thomas Corbin Australia
Avijit Ghosh United States
Elettra Bietti United States
Jeff Larson relative to Micah Carroll United States Micah Carroll's profile →
Citations per field
00.5×2×4×6×8×9.5×
Micah Carroll · 1×
Citations per year

Countries citing papers authored by Jeff Larson

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Jeff Larson, 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 Jeff Larson Line = papers co-authored together Jeff Larson links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Machine Bias *
Hit paper breakdown →
2022213
2 202226
3 200917
4 20184
5 20222
6
Unintended Consequences of Geographic Targeting
20151

About Jeff Larson

Jeff Larson is a scholar working on Safety Research, Organizational Behavior and Human Resource Management, Sociology and Political Science, Marketing and History, having authored 6 papers that have together received 263 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Management and Organizational Studies (2 papers), Social Movements and Cultural Identity (2 papers), American Political and Social Dynamics (1 paper), Consumer Market Behavior and Pricing (1 paper), Family and Disability Support Research (1 paper), Criminal Justice and Corrections Analysis (1 paper) and Work-Family Balance Challenges (1 paper). The work is most often cited by research in Safety Research (155 citations), Health Informatics (7 citations), Artificial Intelligence (49 citations), General Decision Sciences (3 citations) and Organizational Behavior and Human Resource Management (10 citations). Jeff Larson has collaborated with scholars based in United States. Frequent co-authors include Julia Angwin, Sarah A. Soule and Omar Ližardo. Their work appears in journals such as Mobilization An International Quarterly, Social Forces, Emerald Group Publishing Limited eBooks and Auerbach Publications eBooks.

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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