Sandeep Kumar

3.4k citations
118 papers · 1.5k · h-index 23

Impact in

Papers in

Sandeep Kumar

97 papers receiving 1.4k citations

Peers

Sandeep Kumar
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 444
  • Signal Processing 143
  • Health Informatics 18
  • Artificial Intelligence 341
  • Neurology 86
Replace Fahd N. Al‐Wesabi with:
Fahd N. Al‐Wesabi Saudi Arabia
Jagendra Singh India
S. Baskar India
Young Im Cho South Korea
Arpit Jain India
Hela Elmannai Saudi Arabia
Anwer Mustafa Hilal Saudi Arabia
Mohammad Shabaz India
Suliman Mohamed Fati Saudi Arabia
B. D. Parameshachari India
Sandeep Kumar relative to Fahd N. Al‐Wesabi Saudi Arabia Fahd N. Al‐Wesabi's profile →
Citations per field
00.5×4.8×
Fahd N. Al‐Wesabi · 1×
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 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 202385
3 202375
4 202170
5 202260
6 202252
7 202052
8 202148
9 202245
10 202244
11 201743
12 202141
13 202039
14 202339
15 202239
16 202237
17 202130
18 202229
19 201929
20 202229

About Sandeep Kumar

Sandeep Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face recognition and analysis (15 papers), Biometric Identification and Security (12 papers), Smart Agriculture and AI (12 papers), Face and Expression Recognition (8 papers), Video Surveillance and Tracking Methods (7 papers), Topic Modeling (7 papers), Advanced Neural Network Applications (6 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (444 citations), Signal Processing (143 citations), Health Informatics (18 citations), Artificial Intelligence (341 citations) and Neurology (86 citations). Sandeep Kumar has collaborated with scholars based in India, Saudi Arabia and Czechia. Frequent co-authors include Shilpa Rani, Arpit Jain, Deepika Ghai, Sukhwinder Singh, Rohit Raja, Narendra Khatri, Bhupesh Kumar Lad, Aarti Aarti, Rashid Mahmood and MVV Prasad Kantipudi. Their work appears in journals such as Wireless Personal Communications, Multimedia Tools and Applications, SAE technical papers on CD-ROM/SAE technical paper series, Scientific African and Computational Intelligence and Neuroscience.

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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