Sunil Kumar Jha

2.6k citations
103 papers · 2.0k · h-index 22

Impact in

Papers in

Sunil Kumar Jha

96 papers receiving 1.8k citations

Peers

Sunil Kumar Jha
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 359
  • Bioengineering 89
  • Sensory Systems 70
  • Analytical Chemistry 127
  • Media Technology 100
Replace Yu Gu with:
Yu Gu China
Xiaoping Fan China
W.J. Melssen Netherlands
Yan Jia China
Jingjing Chen China
Leilei Cao China
Elmer P. Dadios Philippines
Saverio De Vito Italy
Samir Brahim Belhaouari Qatar
Imad A. Basheer United States
Sunil Kumar Jha relative to Yu Gu China Yu Gu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sunil Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017243
2 2021137
3 2019107
4 2010100
5 201994
6 202192
7 201861
8 201755
9 201454
10 201952
11 201447
12 201942
13 201439
14 202038
15 201534
16 201833
17 200132
18 201831
19 200929
20 202028

About Sunil Kumar Jha

Sunil Kumar Jha is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Insect Science and Electrical and Electronic Engineering, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (26 papers), Digital Media Forensic Detection (14 papers), Insect Pheromone Research and Control (11 papers), Advanced Steganography and Watermarking Techniques (10 papers), Image Processing Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Olfactory and Sensory Function Studies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Bioengineering (89 citations), Sensory Systems (70 citations), Analytical Chemistry (127 citations) and Media Technology (100 citations). Sunil Kumar Jha has collaborated with scholars based in China, United States and India. Frequent co-authors include Kenshi Hayashi, R. D. S. Yadava, Nilesh Patel, Ehsan Elahi, Anju Jha, Han Zhang, Jinwei Wang, Xiangyang Luo, Xiaorui Zhang and Zulfiqar Ahmad. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Measurement, Journal of Information Security and Applications, Computers and Electronics in Agriculture and International Journal of Mass Spectrometry.

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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