Sumer S. Vaid

12 papers receiving 266 citations

Sumer S. Vaid's Hit Papers

The potential of generative AI for personalized persuasion at scale 2024 · 99 citations
990+1Years since publication255075

Peers

Sumer S. Vaid
Comparison fields: 5 of 70
  • Applied Psychology 40
  • Experimental and Cognitive Psychology 52
  • Health Informatics 5
  • Human-Computer Interaction 18
  • Clinical Psychology 67
Replace Kevin Koban with:
Kevin Koban Austria
Jhen-Ni Ye Taiwan
Masanori Takano Japan
Katharina Jahn Germany
April Tyack Australia
Jennifer G. Kim United States
Dominique Verpoorten Belgium
Kate Lister United Kingdom
Helena Schmitt Germany
Sarah Furlan Italy
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Countries citing papers authored by Sumer S. Vaid

Since Specialization
Citations

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

Fields of papers citing papers by Sumer S. Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumer S. Vaid. 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 Sumer S. Vaid. The network helps show where Sumer S. Vaid may publish in the future.

Co-authors

The 23 scholars most cited alongside Sumer S. Vaid, 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 Sumer S. Vaid Line = papers co-authored together Sumer S. Vaid links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The potential of generative AI for personalized persuasion at scale
Hit paper breakdown →
202499
2 202079
3 202030
4 202026
5 201917
6 20249
7 20195
8 20234
9 20243
10 20242
11 20231
12 20231

About Sumer S. Vaid

Sumer S. Vaid is a scholar working on Sociology and Political Science, Applied Psychology, Clinical Psychology, Experimental and Cognitive Psychology and Literature and Literary Theory, having authored 12 papers that have together received 276 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (6 papers), Personality Traits and Psychology (5 papers), Mental Health Research Topics (3 papers), Behavioral Health and Interventions (3 papers), Digital Mental Health Interventions (3 papers), Media Influence and Health (3 papers), Evolutionary Psychology and Human Behavior (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Applied Psychology (40 citations), Experimental and Cognitive Psychology (52 citations), Health Informatics (5 citations), Human-Computer Interaction (18 citations) and Clinical Psychology (67 citations). Sumer S. Vaid has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Gabriella M. Harari, Sandra Matz, Jacob D. Teeny, Moran Cerf, Samuel D. Gosling, Clemens Stachl, Markus Bühner, Ramona Schoedel, Florian Pargent and Sven Hilbert. Their work appears in journals such as Scientific Reports, European Journal of Personality, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Computers in Human Behavior and Journal of Personality and Social 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.

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