Rishav Singh

921 citations
35 papers · 575 · h-index 12

Impact in

Papers in

Rishav Singh

29 papers receiving 550 citations

Peers

Rishav Singh
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 165
  • Artificial Intelligence 243
  • Health Informatics 9
  • Neurology 43
  • Radiology, Nuclear Medicine and Imaging 114
Replace Hongyu Wang with:
Hongyu Wang China
Ziquan Zhu United Kingdom
Rahul Chauhan India
Sudanthi Wijewickrema Australia
Amir Mosavi Hungary
Norliza Mohd Noor Malaysia
Hansung Lee South Korea
Mahmoud M. Saafan Egypt
Amjed Abdullah United States
Pattaramon Vuttipittayamongkol Thailand
Rishav Singh relative to Hongyu Wang China Hongyu Wang's profile →
Citations per field
00.5×1.5×
Hongyu Wang · 1×
Citations per year

Countries citing papers authored by Rishav Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rishav Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021125
2 202099
3 201955
4 202248
5 202128
6 201726
7 202025
8 202123
9 202222
10 202020
11 201718
12 202213
13 202310
14
Illumination and Pose Invariant Face Recognition: A Technical Review
20109
15 20238
16 20135
17 20245
18 20215
19 20165
20 20174

About Rishav Singh

Rishav Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 575 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Face and Expression Recognition (4 papers), COVID-19 diagnosis using AI (4 papers), Biometric Identification and Security (4 papers), Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (4 papers), Human Pose and Action Recognition (3 papers) and Advanced Fiber Optic Sensors (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (243 citations), Health Informatics (9 citations), Neurology (43 citations) and Radiology, Nuclear Medicine and Imaging (114 citations). Rishav Singh has collaborated with scholars based in India, Portugal and United States. Frequent co-authors include Sanjay Kumar Singh, Amit Kumar Singh, Abhinav Kumar, Vandana Bharti, Tanveer Ahmed, Hari Om, Sandeep S. Udmale, Anil Pandey, Arun Kumar Sangaiah and Tapas Badal. Their work appears in journals such as IEEE Sensors Journal, Multimedia Tools and Applications, IEEE Transactions on Industrial Informatics, Optical Fiber Technology and Computers and Electronics in Agriculture.

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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