Dinesh Kumar

27.2k citations
918 papers · 12.4k indexed · h-index 55

Impact in

Papers in

Dinesh Kumar

834 papers receiving 11.6k citations

Peers

Dinesh Kumar
Comparison fields: 5 of 217
  • Cognitive Neuroscience 1.5k
  • Human-Computer Interaction 394
  • Signal Processing 727
  • Ophthalmology 585
  • Psychiatry and Mental health 875
Replace Guang‐Zhong Yang with:
Guang‐Zhong Yang United Kingdom
Isaac S. Kohane United States
Xiaoli Li China
Jing Qin China
Yudong Zhang China
Ahmed K. Elmagarmid United States
Li Wang China
Taesung Park South Korea
Mourad Ouzzani United States
Jiming Liu Hong Kong
Dinesh Kumar relative to Guang‐Zhong Yang United Kingdom Guang‐Zhong Yang's profile →
Citations per field
00.5×4.1×
Guang‐Zhong Yang · 1×
Citations per year

Countries citing papers authored by Dinesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
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12 20234
13 20221
14
Office-Based, Point-of-Care, Low-Field MRI System to Guide Prostate Interventions: Recent Developments
20216
15
An adaptable model for simulating whole muscle surface electromyogram
20101
16 201036
17 20088
18
Effect of Different Live Feed on Growth and Survival of Striped Murrel Channa striatus larvae.
20088
19
Preliminary screening of osteoporosis and osteopenia in urban women from Jammu using calcaneal QUS.
200637
20 20014

About Dinesh Kumar

Dinesh Kumar is a scholar working on Signal Processing, Cognitive Neuroscience, Human-Computer Interaction, Ophthalmology and Computer Vision and Pattern Recognition, having authored 918 papers that have together received 12.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (94 papers), EEG and Brain-Computer Interfaces (82 papers), Retinal Imaging and Analysis (45 papers), Blind Source Separation Techniques (41 papers), Neural Networks and Applications (32 papers), Neuroscience and Neural Engineering (31 papers), Glaucoma and retinal disorders (30 papers) and Hand Gesture Recognition Systems (26 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Human-Computer Interaction (394 citations), Signal Processing (727 citations), Ophthalmology (585 citations) and Psychiatry and Mental health (875 citations). Dinesh Kumar has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Sridhar P. Arjunan, Ganesh R. Naik, K.N. Rai, Nemuel Daniel Pah, Behzad Aliahmad, Howard Marshall, Pappu Kumar, Stephen Salloway, Pradeep Kumar and Ravi Mehrotra. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Neurology, SLEEP, Scientific Reports and International Journal of Industrial and Systems Engineering.

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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