Jyoti Kumar

753 citations
75 papers · 483 · h-index 12

Impact in

    • Usability and User Interface Design
    • Innovative Human-Technology Interaction
    • Gaze Tracking and Assistive Technology
    • Digital Communication and Language
    • EEG and Brain-Computer Interfaces
    • Neural and Behavioral Psychology Studies

Papers in

Jyoti Kumar

61 papers receiving 465 citations

Peers

Jyoti Kumar
Comparison fields: 5 of 112
  • Human-Computer Interaction 148
  • Cognitive Neuroscience 102
  • Social Psychology 92
  • Information Systems and Management 29
  • Experimental and Cognitive Psychology 43
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Hua Dong United Kingdom
Dan Nathan-Roberts United States
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Citations per field
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Citations per year

Countries citing papers authored by Jyoti Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2
Influence of Cultural Background on Non-verbal Communication in a Usability Testing Situation
200833
3 201931
4 200725
5 200721
6 201119
7 201618
8 202217
9 202317
10 202212
11 202011
12 199711
13 20189
14 20169
15 20188
16 20167
17 20247
18 20217
19 20255
20 20245

About Jyoti Kumar

Jyoti Kumar is a scholar working on Human-Computer Interaction, Social Psychology, Clinical Psychology, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 75 papers that have together received 483 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (13 papers), Design Education and Practice (10 papers), Mindfulness and Compassion Interventions (9 papers), Digital Communication and Language (8 papers), Persona Design and Applications (7 papers), Creativity in Education and Neuroscience (6 papers), Usability and User Interface Design (5 papers) and Neural and Behavioral Psychology Studies (4 papers). The work is most often cited by research in Human-Computer Interaction (148 citations), Cognitive Neuroscience (102 citations), Social Psychology (92 citations), Information Systems and Management (29 citations) and Experimental and Cognitive Psychology (43 citations). Jyoti Kumar has collaborated with scholars based in India, Denmark and China. Frequent co-authors include Naveen Kumar, Pradeep Yammiyavar, Torkil Clemmensen, Kasper Hornbæk, Morten Hertzum, Sunil Nath, Sumer Singh, P. Venkateswara Rao, Huiyang Li and Xianghong Sun. Their work appears in journals such as Lecture notes in computer science, International Journal of Technology and Design Education, Chemical Engineering Science, Journal of Biomechanical Engineering and Management of Environmental Quality An International 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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