Michael Ann DeVito

2.1k citations
38 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

Michael Ann DeVito

35 papers receiving 1.6k citations

Michael Ann DeVito's Hit Papers

“I See Me Here”: Mental Health Content, Community, and Algorithmic Curation on TikTok 2023 · 80 citations
800+1+2Years since publication255075

Peers

Michael Ann DeVito
Comparison fields: 5 of 95
  • Communication 450
  • Human-Computer Interaction 314
  • Safety Research 255
  • Computer Science Applications 124
  • Applied Psychology 88
Replace Morgan Klaus Scheuerman with:
Morgan Klaus Scheuerman United States
Bryan Semaan United States
Stine Lomborg Denmark
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Tawfiq Ammari United States
Andrew McStay United Kingdom
Jill Dimond United States
Priya Kumar United States
Giovanna Mascheroni Italy
Natalya N. Bazarova United States
Michael Ann DeVito relative to Morgan Klaus Scheuerman United States Morgan Klaus Scheuerman's profile →
Citations per field
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Morgan Klaus Scheuerman · 1×
Citations per year

Countries citing papers authored by Michael Ann DeVito

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ann DeVito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ann DeVito. 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 Michael Ann DeVito. The network helps show where Michael Ann DeVito may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017209
2 2016208
3 2018178
4 2017167
5 2018164
6 202195
7 202284
8
“I See Me Here”: Mental Health Content, Community, and Algorithmic Curation on TikTok
Hit paper breakdown →
202380
9 202067
10 201962
11 202143
12 201938
13 202324
14 201822
15 202020
16 202215
17 202315
18 202414
19 202113
20 202111

About Michael Ann DeVito

Michael Ann DeVito is a scholar working on Sociology and Political Science, Communication, Clinical Psychology, Human-Computer Interaction and Artificial Intelligence, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Social Media and Politics (11 papers), Sexuality, Behavior, and Technology (10 papers), Impact of Technology on Adolescents (9 papers), Innovative Human-Technology Interaction (9 papers), Hate Speech and Cyberbullying Detection (7 papers), Privacy, Security, and Data Protection (7 papers), Ethics and Social Impacts of AI (5 papers) and Digital Games and Media (5 papers). The work is most often cited by research in Communication (450 citations), Human-Computer Interaction (314 citations), Safety Research (255 citations), Computer Science Applications (124 citations) and Applied Psychology (88 citations). Michael Ann DeVito has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeremy Birnholtz, Ashley Marie Walker, Jeffrey T. Hancock, Darren Gergle, Megan French, Stevie Chancellor, Jed R. Brubaker, Katta Spiel, Alex A. Ahmed and Jennifer A. Rode. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, Digital Journalism, International Journal of Pediatric Otorhinolaryngology and Deep Blue (University of Michigan).

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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