David Broniatowski

5.2k citations
94 papers · 2.9k indexed · 1 hit paper · h-index 27

Impact in

  • Health top 0.5%
    • Vaccine Coverage and Hesitancy
    • Social Media in Health Education
    • Social Media and Politics

Papers in

David Broniatowski

87 papers receiving 2.8k citations

Hit Papers

Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate 2018 · 678 citations
6782018202620202023200400600

Peers

David Broniatowski
Comparison fields: 5 of 137
  • Health 943
  • Communication 383
  • Modeling and Simulation 213
  • Applied Microbiology and Biotechnology 84
  • Sociology and Political Science 1.6k
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Citations per field
00.5×9.3×
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Citations per year

Countries citing papers authored by David Broniatowski

Since Specialization
Citations

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

Fields of papers citing papers by David Broniatowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Broniatowski, 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 Broniatowski Line = papers co-authored together David Broniatowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20241
4 20242
5 20237
6 202323
7 20229
8 202213
9 202126
10 20213
11 20210
12 202052
13 202030
14 201936
15 201819
16
Examining Patterns of Influenza Vaccination in Social Media.
201731
17 201741
18 201540
19
Formalizing Risky Choice with a Logistic Model of Fuzzy Trace Theory.
20152
20
A Mathematical Formalization of Fuzzy Trace Theory
20142

About David Broniatowski

David Broniatowski is a scholar working on General Decision Sciences, Health, Applied Microbiology and Biotechnology, Communication and Artificial Intelligence, having authored 94 papers that have together received 2.9k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (37 papers), Vaccine Coverage and Hesitancy (22 papers), Hate Speech and Cyberbullying Detection (20 papers), Complex Systems and Decision Making (7 papers), Space Science and Extraterrestrial Life (7 papers), Influenza Virus Research Studies (6 papers), Data-Driven Disease Surveillance (6 papers) and Decision-Making and Behavioral Economics (6 papers). The work is most often cited by research in Health (943 citations), Communication (383 citations), Modeling and Simulation (213 citations), Applied Microbiology and Biotechnology (84 citations) and Sociology and Political Science (1.6k citations). David Broniatowski has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Mark Dredze, Michael J. Paul, Sandra Crouse Quinn, Amelia Jamison, Tao Chen, Adrian Benton, Lulwah Alkulaib, Karen Hilyard, Valerie F. Reyna and Michael C. Smith. Their work appears in journals such as Systems Engineering, Vaccine, American Journal of Public Health, Scientific Reports and Journal of Medical Internet Research.

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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