David DeWester

680 citations
11 papers · 490 · h-index 6

Impact in

Papers in

David DeWester

11 papers receiving 460 citations

Peers

David DeWester
Comparison fields: 5 of 55
  • Human-Computer Interaction 212
  • Information Systems and Management 195
  • Marketing 151
  • Developmental and Educational Psychology 74
  • Sociology and Political Science 229
Replace Jennifer Brannon Barhorst with:
Jennifer Brannon Barhorst United States
Kil-Soo Suh South Korea
Jean‐Éric Pelet France
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Saïd Aboubaker Ettis Saudi Arabia
Hsiang Chen Taiwan
B. Bengtsson Sweden
Emilie W. Gould United States
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Citations per field
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Citations per year

Countries citing papers authored by David DeWester

Since Specialization
Citations

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

Fields of papers citing papers by David DeWester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside David DeWester, 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 DeWester Line = papers co-authored together David DeWester links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011322
2 197049
3 201047
4 200844
5 200814
6
Are Male and Female Avatars Perceived Equally in 3D Virtual Worlds
20096
7
ENHANCING BRAND EQUITY THROUGH FLOW: COMPARISON OF 2D VERSUS 3D VIRTUAL WORLD
20103
8 20082
9
An Examination of Perceptions of Male and Female Avatars
20091
10
Perceptions of Avatars in 3D Virtual Worlds: Impact of Task and Gender Stereotypicality
20091
11
Understanding Gender Differences in Media Perceptions: A Comparison of 2D versus 3D Media
20101

About David DeWester

David DeWester is a scholar working on Human-Computer Interaction, Sociology and Political Science, Information Systems and Management, Developmental and Educational Psychology and Communication, having authored 11 papers that have together received 490 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (8 papers), Flow Experience in Various Fields (3 papers), Digital Marketing and Social Media (2 papers), Social and Intergroup Psychology (2 papers), Technology Adoption and User Behaviour (2 papers), Digital Games and Media (2 papers), Behavioral Health and Interventions (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Human-Computer Interaction (212 citations), Information Systems and Management (195 citations), Marketing (151 citations), Developmental and Educational Psychology (74 citations) and Sociology and Political Science (229 citations). David DeWester has collaborated with scholars based in United States. Frequent co-authors include Fiona Fui‐Hoon Nah, Brenda Eschenbrenner, So Ra Park, Peter Tarasewich, Jun Gong, Keng Siau and Sarah J. Gervais. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Database Management, Service Business, MIS Quarterly and Singapore Management University Institutional Knowledge (InK) (Singapore Management University).

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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