Stephen Voida

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

Impact in

Papers in

Stephen Voida

75 papers receiving 2.1k citations

Peers

Stephen Voida
Comparison fields: 5 of 111
  • Human-Computer Interaction 865
  • Applied Psychology 194
  • Information Systems and Management 268
  • Developmental and Educational Psychology 209
  • General Health Professions 201
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Gary Hsieh United States
Evangelos Karapanos Portugal
Amon Rapp Italy
Dorian Peters Australia
Willem‐Paul Brinkman Netherlands
Ian Li United States
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Maurits Clemens Kaptein Netherlands
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Citations per field
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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 2016184
2 2012178
3 2018165
4 2013152
5 2001143
6 201490
7 200677
8 201676
9 201369
10 200267
11 202262
12 201757
13 200855
14 200850
15 201550
16 200543
17 200841
18 200941
19 201933
20 202230

About Stephen Voida

Stephen Voida is a scholar working on Human-Computer Interaction, Information Systems and Management, Applied Psychology, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (30 papers), Personal Information Management and User Behavior (15 papers), Interactive and Immersive Displays (15 papers), Usability and User Interface Design (12 papers), Digital Mental Health Interventions (11 papers), Context-Aware Activity Recognition Systems (8 papers), Mobile Health and mHealth Applications (5 papers) and Work-Family Balance Challenges (4 papers). The work is most often cited by research in Human-Computer Interaction (865 citations), Applied Psychology (194 citations), Information Systems and Management (268 citations), Developmental and Educational Psychology (209 citations) and General Health Professions (201 citations). Stephen Voida has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Elizabeth D. Mynatt, Gloria J. Mark, Armand V. Cardello, Elizabeth L. Murnane, Amy Voida, Blair MacIntyre, Jaime Snyder, Geri K. Gay, Gregory M. Corso and Dan Cosley. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Pervasive Computing, Mind Culture and Activity, Assessment and Applied Clinical Informatics.

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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