Upendra Kumar

510 citations
44 papers · 337 · h-index 10

Impact in

Papers in

    • Advanced Steganography and Watermarking Techniques 4
    • Digital Media Forensic Detection 4
    • Image Retrieval and Classification Techniques 4
    • Smart Agriculture and AI 6
    • Phytochemistry and Biological Activities 3

Upendra Kumar

40 papers receiving 307 citations

Peers

Upendra Kumar
Comparison fields: 5 of 88
  • Biochemistry 26
  • Toxicology 14
  • Complementary and alternative medicine 21
  • Endocrinology, Diabetes and Metabolism 39
  • Plant Science 93
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Citations per field
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Citations per year

Countries citing papers authored by Upendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Upendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Upendra 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 Upendra Kumar Line = papers co-authored together Upendra Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200552
2 200344
3
Analysis of ECG signal by chaos principle to help automatic diagnosis of myocardial infarction
200933
4 200526
5 200523
6 200317
7 200312
8 201812
9 201210
10 20159
11 20229
12 20167
13 19957
14 19967
15 20117
16 20157
17 20135
18 20135
19 20195
20 20234

About Upendra Kumar

Upendra Kumar is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Organic Chemistry, Molecular Biology and Analytical Chemistry, having authored 44 papers that have together received 337 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (6 papers), Smart Agriculture and AI (6 papers), Advanced Steganography and Watermarking Techniques (4 papers), Digital Media Forensic Detection (4 papers), Image Retrieval and Classification Techniques (4 papers), Phytochemistry and Biological Activities (3 papers), Brain Tumor Detection and Classification (3 papers) and Law in Society and Culture (3 papers). The work is most often cited by research in Biochemistry (26 citations), Toxicology (14 citations), Complementary and alternative medicine (21 citations), Endocrinology, Diabetes and Metabolism (39 citations) and Plant Science (93 citations). Upendra Kumar has collaborated with scholars based in India, Nepal and Japan. Frequent co-authors include Ashok Kumar Tiwari, J. Madhusudana Rao, Amtul Z. Ali, M. N. DESHMUKH, Namrata Dhanda, Kapil Kumar Gupta, P. Aparna, T. Prabhakar Rao, Shashank Yadav and A. V. R. RAO. Their work appears in journals such as Multimedia Tools and Applications, Organic Process Research & Development, Journal of Natural Products, Phytotherapy Research and Phytochemistry.

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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