Vikas Singh

42 papers receiving 669 citations

Peers

Vikas Singh
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 246
  • Control and Systems Engineering 163
  • Media Technology 59
  • Signal Processing 69
  • Health Informatics 7
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Citations per year

Countries citing papers authored by Vikas Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202199
2
Solving the multi-way matching problem by permutation synchronization
201387
3 201882
4 201878
5 201366
6 201939
7 202026
8 201923
9 202221
10 202017
11 201914
12 201613
13 201811
14 201111
15 200410
16 20149
17 20098
18 20118
19 20078
20
Hybrid Multimodal Biometric Recognition using Kekre's Wavelets, 1D Transforms & Kekre's Vector Quantization Algorithms Based Feature Extraction of Face & Iris
20117

About Vikas Singh

Vikas Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing and Control and Systems Engineering, having authored 48 papers that have together received 714 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Biometric Identification and Security (6 papers), Machine Fault Diagnosis Techniques (6 papers), Face and Expression Recognition (5 papers), Fault Detection and Control Systems (4 papers), Hand Gesture Recognition Systems (4 papers), Machine Learning in Bioinformatics (4 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Control and Systems Engineering (163 citations), Media Technology (59 citations), Signal Processing (69 citations) and Health Informatics (7 citations). Vikas Singh has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Nishchal K. Verma, Risi Kondor, Purushottam Gangsar, Yan Cui, Rahul K. Sevakula, Pooja Agrawal, Narendra Kumar Dhar, Vinayak Ashok Bharadi, Teena Sharma and Chris K. Mechefske. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Journal of Intelligent Manufacturing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Aerospace and Electronic Systems 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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