Sandeep Kumar

1.1k citations
86 papers · 714 · h-index 15

Impact in

Papers in

Sandeep Kumar

73 papers receiving 645 citations

Peers

Sandeep Kumar
Comparison fields: 5 of 123
  • Signal Processing 93
  • Computer Vision and Pattern Recognition 171
  • Media Technology 72
  • Medical Laboratory Technology 11
  • Health 43
Replace Yunji Liang with:
Yunji Liang China
François Portet France
Inmaculada Plaza Spain
Richard May Germany
Nishant Singh India
Álvaro Alesanco Spain
David Krueger United States
Victoria Ramos Spain
Carlos Medrano Spain
Sandeep Kumar relative to Yunji Liang China Yunji Liang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sandeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 201459
3 201747
4 202046
5 201931
6
Prevalence of Usage of Different Contraceptive Methods in East Delhi-A Cross Sectional Study
200530
7 202122
8 202121
9 202220
10 202219
11 201518
12 202116
13
Contrast enhancement for medical images based on histogram equalization followed by median filter
200915
14 202115
15
Assessment of village health sanitation and nutrition committee under NRHM in Nainital district of Uttarakhand
201314
16 202114
17 201614
18 202312
19 202011
20 202211

About Sandeep Kumar

Sandeep Kumar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 86 papers that have together received 714 indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), EEG and Brain-Computer Interfaces (9 papers), Image Enhancement Techniques (8 papers), Speech Recognition and Synthesis (8 papers), Music and Audio Processing (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Advanced Image Processing Techniques (5 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Vision and Pattern Recognition (171 citations), Media Technology (72 citations), Medical Laboratory Technology (11 citations) and Health (43 citations). Sandeep Kumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Vineet Kumar, V. S. Pandey, J.P. Dwivedi, Sandip K. Singh, Sangeeta Bhattacharya, Shailza Gotra, V. Jayakumar, SK Bhasin, M. Rajaram and Sandeep Chaudhary. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Speech Technology, ETRI Journal, Optik and Photonic Network Communications.

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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