David Sweeney

1.3k citations
24 papers · 617 · h-index 12

Impact in

Papers in

David Sweeney

21 papers receiving 594 citations

Peers

David Sweeney
Comparison fields: 5 of 94
  • Human-Computer Interaction 318
  • Computer Vision and Pattern Recognition 235
  • Computer Science Applications 32
  • Management of Technology and Innovation 39
  • Media Technology 39
Replace Marco Romano with:
Marco Romano Italy
Ralf Dörner Germany
Benjamim Fonseca Portugal
Ja-Young Sung United States
Stavroula Ntoa Greece
Samuel Marcos-Pablos Spain
Gregor Broll Germany
Ava Fatah gen. Schieck United Kingdom
Masood Masoodian New Zealand
Graham Dove United States
David Sweeney relative to Marco Romano Italy Marco Romano's profile →
Citations per field
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Marco Romano · 1×
Citations per year

Countries citing papers authored by David Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by David Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016211
2 2015136
3 201451
4 201449
5 201727
6 201625
7 202424
8 201420
9 201113
10 201613
11 201513
12 201211
13 20237
14 20044
15 20143
16 20103
17 20162
18 20202
19
'From Stories to Worlds: The Continuity of Marvel Superheroes from Comics to Cinema'
20131
20 20241

About David Sweeney

David Sweeney is a scholar working on Human-Computer Interaction, Sociology and Political Science, Biomedical Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 24 papers that have together received 617 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (4 papers), Interactive and Immersive Displays (3 papers), Information Systems Theories and Implementation (2 papers), Tactile and Sensory Interactions (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Digital Games and Media (2 papers), Health Policy Implementation Science (1 paper) and Gothic Literature and Media Analysis (1 paper). The work is most often cited by research in Human-Computer Interaction (318 citations), Computer Vision and Pattern Recognition (235 citations), Computer Science Applications (32 citations), Management of Technology and Innovation (39 citations) and Media Technology (39 citations). David Sweeney has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Alex Taylor, Siân Lindley, Tim Regan, Vasillis Vlachokyriakos, Jamie Shotton, Shahram Izadi, Cem Keskin, Pushmeet Kohli, Sameh Khamis and Richard Banks. Their work appears in journals such as ACM Transactions on Graphics, Computer Supported Cooperative Work (CSCW), American Journal of Community Psychology, IEEE Pervasive Computing and Insights the UKSG journal.

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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