Karan Veer

666 citations
36 papers · 460 · h-index 12

Impact in

Papers in

    • Muscle activation and electromyography studies 29
    • Advanced Sensor and Energy Harvesting Materials 6
    • Non-Invasive Vital Sign Monitoring 6
    • EEG and Brain-Computer Interfaces 27

Karan Veer

33 papers receiving 451 citations

Peers

Karan Veer
Comparison fields: 5 of 62
  • Cognitive Neuroscience 285
  • Human-Computer Interaction 63
  • Biomedical Engineering 373
  • Cellular and Molecular Neuroscience 142
  • Rehabilitation 27
Replace Haoshi Zhang with:
Haoshi Zhang China
Joshua C. Kline United States
Yaqi Chu China
Hammad Nazeer Pakistan
Aberham Genetu Feleke China
P. A. Karthick India
Sidharth Pancholi India
Yann Laurillau France
Triwiyanto Triwiyanto Indonesia
Atilla Kilicarslan United States
Karan Veer relative to Haoshi Zhang China Haoshi Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Karan Veer

Since Specialization
Citations

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

Fields of papers citing papers by Karan Veer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Karan Veer, 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 Karan Veer Line = papers co-authored together Karan Veer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016184
2 201534
3 201433
4 202319
5 202116
6 201615
7 201415
8 201414
9 201414
10 201513
11 201711
12 201511
13 201611
14 20169
15 20169
16 20178
17 20155
18 20235
19 20155
20 20174

About Karan Veer

Karan Veer is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 460 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (29 papers), EEG and Brain-Computer Interfaces (27 papers), Neuroscience and Neural Engineering (18 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Non-Invasive Vital Sign Monitoring (6 papers), ECG Monitoring and Analysis (3 papers), Wireless Communication Networks Research (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (285 citations), Human-Computer Interaction (63 citations), Biomedical Engineering (373 citations), Cellular and Molecular Neuroscience (142 citations) and Rehabilitation (27 citations). Karan Veer has collaborated with scholars based in India, Cyprus and Austria. Frequent co-authors include Tanu Sharma, Ravinder Agarwal, Renu Vig, Drishti Yadav, Amod Kumar, Sanjeev Kumar, Amod Kumar, Sourav Maity, Sanjeev Kumar and Aasheesh Shukla. Their work appears in journals such as Measurement, Optik, Robotica, International Journal of Biomathematics and Instrumentation Science & Technology.

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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