Suzanne Elayan

28 papers receiving 469 citations

Peers

Suzanne Elayan
Comparison fields: 5 of 84
  • Applied Psychology 71
  • Social Psychology 134
  • Communication 40
  • Artificial Intelligence 169
  • Experimental and Cognitive Psychology 61
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Bibo Hao China
Yue Dai China
Hansen Andrew Schwartz United States
Sumer S. Vaid United States
Pinar Ozturk United States
Ramona Schoedel Germany
Hannes Rosenbusch Netherlands
Jake Ryland Williams United States
Nello Cristianini United Kingdom
Mark Eibes Germany
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Citations per year

Countries citing papers authored by Suzanne Elayan

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Elayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 202049
3
Emotive ontology: extracting fine-grained emotions from terse, informal messages
201349
4 202045
5 202140
6 202238
7 201821
8 202120
9 201320
10 202115
11 202212
12 202410
13 202310
14 202110
15 20229
16 20229
17 20218
18 20228
19 20237
20 20207

About Suzanne Elayan

Suzanne Elayan is a scholar working on Social Psychology, Sociology and Political Science, Artificial Intelligence, Communication and Clinical Psychology, having authored 28 papers that have together received 489 indexed citations. Recurring topics across this work include Mental Health via Writing (10 papers), Digital Mental Health Interventions (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Misinformation and Its Impacts (5 papers), Public Relations and Crisis Communication (4 papers), COVID-19 and Mental Health (3 papers), Topic Modeling (3 papers) and Disaster Management and Resilience (2 papers). The work is most often cited by research in Applied Psychology (71 citations), Social Psychology (134 citations), Communication (40 citations), Artificial Intelligence (169 citations) and Experimental and Cognitive Psychology (61 citations). Suzanne Elayan has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Martin Sýkora, Xuetong Chen, Ann O’Brien, Tom Jackson, Oliver Gruebner, Jοãο S. Oliveira, Ian R. Hodgkinson, Andrew West, Vı́tor Castro and Marta Fadda. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Business Research, Digital Health, Frontiers in Psychiatry 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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