Sunil Kumar Jha

1.8k citations
68 papers · 1.4k · h-index 20

Impact in

Papers in

Sunil Kumar Jha

65 papers receiving 1.3k citations

Peers

Sunil Kumar Jha
Comparison fields: 5 of 141
  • Bioengineering 88
  • Sensory Systems 66
  • Computer Vision and Pattern Recognition 255
  • Analytical Chemistry 107
  • Energy Engineering and Power Technology 31
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Yan Jia China
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Fengchun Tian China
Zvi Boger United States
Jingjing Chen China
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Sunil Kumar Jha relative to Yan Jia China Yan Jia'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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017251
2 2010101
3 201862
4 201756
5 201955
6 201454
7 201447
8 201943
9 202039
10 201439
11 201834
12 201534
13 201834
14 200133
15 202030
16 202126
17 201621
18 201421
19 200920
20 201819

About Sunil Kumar Jha

Sunil Kumar Jha is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Insect Science, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (22 papers), Digital Media Forensic Detection (11 papers), Insect Pheromone Research and Control (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Image Processing Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (8 papers), Olfactory and Sensory Function Studies (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Bioengineering (88 citations), Sensory Systems (66 citations), Computer Vision and Pattern Recognition (255 citations), Analytical Chemistry (107 citations) and Energy Engineering and Power Technology (31 citations). Sunil Kumar Jha has collaborated with scholars based in China, India and United States. Frequent co-authors include Kenshi Hayashi, R. D. S. Yadava, Nilesh Patel, Anju Jha, Han Zhang, Jinwei Wang, Xiangyang Luo, Yun-Qing Shi, Chuanjun Liu and Zulfiqar Ahmad. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Information Security and Applications, Measurement, International Journal of Mass Spectrometry and IEEE Sensors Journal.

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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