Vikram Mehta

425 citations
20 papers · 343 · h-index 9

Impact in

    • Interactive and Immersive Displays
    • Innovative Human-Technology Interaction
    • Virtual Reality Applications and Impacts
    • Hand Gesture Recognition Systems
    • Tactile and Sensory Interactions

Papers in

Vikram Mehta

19 papers receiving 338 citations

Peers

Vikram Mehta
Comparison fields: 5 of 59
  • Human-Computer Interaction 217
  • Cognitive Neuroscience 118
  • Applied Psychology 18
  • Demography 28
  • Computer Vision and Pattern Recognition 46
Replace Nicola Doering with:
Nicola Doering Germany
Khalad Hasan Canada
Samarth Singhal Canada
Kieran Hicks United Kingdom
Philip Quinn New Zealand
Samantha Reig United States
AJung Moon Canada
Cati Vaucelle United States
Benoît Bossavit Spain
Merel Keijsers New Zealand
Vikram Mehta relative to Nicola Doering Germany Nicola Doering's profile →
Citations per field
00.5×4.7×
Nicola Doering · 1×
Citations per year

Countries citing papers authored by Vikram Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014102
2 201556
3 202230
4 201826
5 202123
6 201721
7 201617
8 202015
9 201911
10 20228
11 20155
12 20195
13 20195
14 20215
15 20164
16 20224
17 20233
18 20232
19 20161
20 20240

About Vikram Mehta

Vikram Mehta is a scholar working on Human-Computer Interaction, Demography, Sociology and Political Science, Applied Psychology and Information Systems, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (11 papers), Interactive and Immersive Displays (6 papers), Technology Use by Older Adults (5 papers), Digital Mental Health Interventions (4 papers), Privacy, Security, and Data Protection (3 papers), IoT and Edge/Fog Computing (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Human-Computer Interaction (217 citations), Cognitive Neuroscience (118 citations), Applied Psychology (18 citations), Demography (28 citations) and Computer Vision and Pattern Recognition (46 citations). Vikram Mehta has collaborated with scholars based in United Kingdom, Ireland and Germany. Frequent co-authors include Jürgen Steimle, Martin Weigel, Blaine Price, Arosha K. Bandara, Bashar Nuseibeh, Daniel Gooch, Lung-Pan Cheng, Patrick Baudisch, Dominik Schmidt and Avelie Stuart. Their work appears in journals such as International Journal of Human-Computer Studies, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Internet Technology, Computers in Human Behavior Reports and JMIR Human Factors.

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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