Stephen Voida

2.7k citations
84 papers · 2.1k · h-index 24

Impact in

Papers in

Stephen Voida

76 papers receiving 2.0k citations

Peers

Stephen Voida
Comparison fields: 5 of 118
  • Human-Computer Interaction 949
  • Applied Psychology 366
  • Information Systems and Management 458
  • Computer Science Applications 111
  • Communication 135
Replace Evangelos Karapanos with:
Evangelos Karapanos Portugal
Gary Hsieh United States
Daniel Avrahami United States
Kwan Min Lee United States
Frank Bentley United States
Maurits Kaptein Netherlands
Amon Rapp Italy
Heather L. O'Brien Canada
Eun Kyoung Choe United States
Siân Lindley United Kingdom
Stephen Voida relative to Evangelos Karapanos Portugal Evangelos Karapanos's profile →
Citations per field
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Evangelos Karapanos · 1×
Citations per year

Countries citing papers authored by Stephen Voida

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Voida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016177
2 2012174
3 2018157
4 2013153
5 2001146
6 201486
7 200680
8 201677
9 200272
10 201370
11 202258
12 201756
13 200856
14 200854
15 201549
16 200544
17 200939
18 200839
19 201933
20 202230

About Stephen Voida

Stephen Voida is a scholar working on Human-Computer Interaction, Information Systems and Management, Computer Vision and Pattern Recognition, Sociology and Political Science and Applied Psychology, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (32 papers), Personal Information Management and User Behavior (24 papers), Digital Mental Health Interventions (18 papers), Interactive and Immersive Displays (14 papers), Context-Aware Activity Recognition Systems (14 papers), Usability and User Interface Design (13 papers), Technology Use by Older Adults (11 papers) and Impact of Technology on Adolescents (8 papers). The work is most often cited by research in Human-Computer Interaction (949 citations), Applied Psychology (366 citations), Information Systems and Management (458 citations), Computer Science Applications (111 citations) and Communication (135 citations). Stephen Voida has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Elizabeth D. Mynatt, Gloria Mark, Yuan Jia, Armand V. Cardello, Elizabeth L. Murnane, Amy Voida, Blair MacIntyre, Jaime Snyder, Geri Gay and Gregory M. Corso. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Pervasive Computing, Applied Clinical Informatics, Human-Computer Interaction and Assessment.

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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