Robin Gomila

6 papers receiving 379 citations

Robin Gomila's Hit Papers

Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. 2020 · 320 citations
3200+2+4Years since publication100200300

Peers

Robin Gomila
Comparison fields: 5 of 105
  • Safety Research 36
  • Communication 24
  • Sociology and Political Science 147
  • Health 25
  • General Decision Sciences 6
Replace David McElhattan with:
David McElhattan United States
Hermann Dülmer Germany
Volker Stocké Germany
Maja Graso United States
Johannes Wheeldon United States
Michael Weinhardt Germany
Erin Hartman United States
Shweta Mishra Germany
Andrés Sandoval-Hernández United Kingdom
Robin Gomila relative to David McElhattan United States David McElhattan's profile →
Citations per field
00.5×2.7×
David McElhattan · 1×
Citations per year

Countries citing papers authored by Robin Gomila

Since Specialization
Citations

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

Fields of papers citing papers by Robin Gomila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Robin Gomila, 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 Robin Gomila Line = papers co-authored together Robin Gomila links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.
Hit paper breakdown →
2020320
2 202028
3 201516
4 202011
5 20205
6 20175

About Robin Gomila

Robin Gomila is a scholar working on Sociology and Political Science, Literature and Literary Theory, Applied Psychology, Communication and Clinical Psychology, having authored 6 papers that have together received 385 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (2 papers), Media Influence and Health (2 papers), Social and Intergroup Psychology (2 papers), Psychology of Moral and Emotional Judgment (1 paper), School Choice and Performance (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Media Influence and Politics (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Safety Research (36 citations), Communication (24 citations), Sociology and Political Science (147 citations), Health (25 citations) and General Decision Sciences (6 citations). Robin Gomila has collaborated with scholars based in United States. Frequent co-authors include Chelsey S. Clark, Elizabeth Levy Paluck, Paul Lagunes, Limor Peer, Lynn Vavreck, Donald P. Green, Hana Shepherd, Rebecca Littman and Graeme Blair. Their work appears in journals such as PLoS ONE, Psychological Methods, Journal of Experimental Psychology General, Social Psychological and Personality Science and Journal of Social and Political Psychology.

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.

Explore authors with similar magnitude of impact