Vikas Ashok

75 papers receiving 666 citations

Peers

Vikas Ashok
Comparison fields: 5 of 64
  • Human Factors and Ergonomics 293
  • Human-Computer Interaction 189
  • Occupational Therapy 81
  • Computer Science Applications 110
  • Cognitive Neuroscience 246
Replace Yevgen Borodin with:
Yevgen Borodin United States
Stephanie Ludi United States
Nestor Garay-Vitoria Spain
Kentarou Fukuda Japan
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T. V. Raman United States
Syed Masum Billah United States
Jason Wu United States
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Citations per year

Countries citing papers authored by Vikas Ashok

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Ashok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201741
3 201739
4 201526
5 201825
6 201424
7 201723
8 201718
9 201918
10 201618
11 202018
12 201418
13 202017
14 201115
15 201915
16 202113
17 201913
18 202213
19 201413
20 202012

About Vikas Ashok

Vikas Ashok is a scholar working on Human Factors and Ergonomics, Cognitive Neuroscience, Human-Computer Interaction, Information Systems and Artificial Intelligence, having authored 85 papers that have together received 683 indexed citations. Recurring topics across this work include Digital Accessibility for Disabilities (43 papers), Tactile and Sensory Interactions (34 papers), Mobile Crowdsensing and Crowdsourcing (17 papers), Web Data Mining and Analysis (15 papers), Interactive and Immersive Displays (13 papers), Gaze Tracking and Assistive Technology (13 papers), Usability and User Interface Design (7 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Human Factors and Ergonomics (293 citations), Human-Computer Interaction (189 citations), Occupational Therapy (81 citations), Computer Science Applications (110 citations) and Cognitive Neuroscience (246 citations). Vikas Ashok has collaborated with scholars based in United States, Ghana and Finland. Frequent co-authors include I. V. Ramakrishnan, Syed Masum Billah, Yevgen Borodin, Yury Puzis, Donald E. Porter, Yejin Choi, Song Feng, Sampath Jayarathna, Ravi Mukkamala and Xiaojun Bi. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Interactive Intelligent Systems, ACM Transactions on the Web, International Journal of Human-Computer Interaction and IEEE Transactions on Visualization and Computer Graphics.

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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