Roberto Hoyle

830 citations
20 papers · 685 · h-index 12

Impact in

Papers in

Roberto Hoyle

18 papers receiving 669 citations

Peers

Roberto Hoyle
Comparison fields: 5 of 74
  • Human-Computer Interaction 207
  • Human Factors and Ergonomics 36
  • Computer Science Applications 73
  • Sociology and Political Science 331
  • Computer Vision and Pattern Recognition 147
Replace Carla Faria Leitão with:
Carla Faria Leitão Brazil
Daniel B. Horn United States
Elke E. Mattheiss Austria
Ahmed Kharrufa United Kingdom
Evan Golub United States
Gahgene Gweon South Korea
Natalia Padilla-Zea Spain
Hilary Smith United Kingdom
Catalina M. Danis United States
Michael C. Mayrath United States
Roberto Hoyle relative to Carla Faria Leitão Brazil Carla Faria Leitão's profile →
Citations per field
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Carla Faria Leitão · 1×
Citations per year

Countries citing papers authored by Roberto Hoyle

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Hoyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014162
2 2015108
3 201866
4 201555
5 202051
6 201744
7 201935
8 202033
9 201531
10 201925
11 201720
12 201715
13 201712
14 202211
15 20147
16 20134
17 19893
18 20202
19 19731
20 19850

About Roberto Hoyle

Roberto Hoyle is a scholar working on Human-Computer Interaction, Sociology and Political Science, Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation and Information Systems, having authored 20 papers that have together received 685 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (11 papers), Innovative Human-Technology Interaction (7 papers), User Authentication and Security Systems (4 papers), Tactile and Sensory Interactions (3 papers), Sexuality, Behavior, and Technology (3 papers), Social Media and Politics (2 papers), Physical Education and Pedagogy (2 papers) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Human-Computer Interaction (207 citations), Human Factors and Ergonomics (36 citations), Computer Science Applications (73 citations), Sociology and Political Science (331 citations) and Computer Vision and Pattern Recognition (147 citations). Roberto Hoyle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Apu Kapadia, David Crandall, Denise L. Anthony, Robert Templeman, Tousif Ahmed, Kay H Connelly, Adam J. Lee, Rakibul Hasan, Kelly E. Caine and Srijita Das. Their work appears in journals such as IEEE Internet Computing, interactions, ACM Transactions on Computer-Human Interaction, Journal of Physical Education Recreation & Dance and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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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