Pradeep Kumar

2.8k citations
65 papers · 2.0k · h-index 26

Impact in

Papers in

Pradeep Kumar

60 papers receiving 1.9k citations

Peers

Pradeep Kumar
Comparison fields: 5 of 137
  • Human-Computer Interaction 854
  • Cognitive Neuroscience 610
  • Computer Vision and Pattern Recognition 621
  • Developmental and Educational Psychology 359
  • Public Administration 73
Replace Roman Bednarik with:
Roman Bednarik Finland
Hongan Wang China
Suranga Nanayakkara Singapore
Rajeev Sharma United States
Eduardo Velloso Australia
Rajkumar Saini India
Grace Ngai Hong Kong
Masanori Sugimoto Japan
Erin Solovey United States
Mike Fraser United Kingdom
Pradeep Kumar relative to Roman Bednarik Finland Roman Bednarik's profile →
Citations per field
00.5×2.5×
Roman Bednarik · 1×
Citations per year

Countries citing papers authored by Pradeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 2019162
3 2016161
4 2017147
5 201782
6
Paths to union renewal : Canadian experiences
200675
7 201772
8 201867
9 201766
10 201764
11 201659
12 201754
13 202353
14 201752
15 201846
16 202145
17 202139
18 201839
19 201937
20 202131

About Pradeep Kumar

Pradeep Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Signal Processing and Information Systems, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Hand Gesture Recognition Systems (17 papers), Handwritten Text Recognition Techniques (12 papers), Gaze Tracking and Assistive Technology (10 papers), Human Pose and Action Recognition (10 papers), Vehicle License Plate Recognition (7 papers), Hearing Impairment and Communication (7 papers) and User Authentication and Security Systems (7 papers). The work is most often cited by research in Human-Computer Interaction (854 citations), Cognitive Neuroscience (610 citations), Computer Vision and Pattern Recognition (621 citations), Developmental and Educational Psychology (359 citations) and Public Administration (73 citations). Pradeep Kumar has collaborated with scholars based in India, Canada and South Korea. Frequent co-authors include Partha Pratim Roy, Debi Prosad Dogra, Rajkumar Saini, Balasubramanian Raman, Christopher J. Schenk, B.B. Chaudhuri, Anshul Mittal, Erik Scheme, Ravi Saini and Priyanka Singh. Their work appears in journals such as Multimedia Tools and Applications, Pattern Recognition Letters, Information Sciences, International Journal of Machine Learning and Cybernetics and IEEE Sensors 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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