Vivek Kanhangad
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 5%
- Information Systems top 2%
- Artificial Intelligence top 10%
- Co-authors
- Ankita JainRam Bilas PachoriAjay KumarDavid ZhangT. Sunil KumarBijaya Ketan PanigrahiU. Rajendra AcharyaVijay Anand
- Topics
- Biometric Identification and Security (28 papers)Face recognition and analysis (14 papers)User Authentication and Security Systems (12 papers)
In The Last Decade
Vivek Kanhangad
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Signal Processing 780
- Computer Vision and Pattern Recognition 737
- Cognitive Neuroscience 368
- Information Systems 275
- Artificial Intelligence 197
Countries citing papers authored by Vivek Kanhangad
This map shows the geographic impact of Vivek Kanhangad'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 Vivek Kanhangad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Kanhangad more than expected).
Fields of papers citing papers by Vivek Kanhangad
This network shows the impact of papers produced by Vivek Kanhangad. 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 Vivek Kanhangad. The network helps show where Vivek Kanhangad may publish in the future.
Co-authorship network of co-authors of Vivek Kanhangad
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Kanhangad. A scholar is included among the top collaborators of Vivek Kanhangad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vivek Kanhangad. Vivek Kanhangad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | Cross-sensor Pore Detection in High-resolution Fingerprint Images using Unsupervised Domain Adaptation | 2 |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 40 | |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 115 | |
| 14 | 0 | |
| 15 | 35 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 63 |
About Vivek Kanhangad
Vivek Kanhangad is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biometric Identification and Security (28 papers), Face recognition and analysis (14 papers) and User Authentication and Security Systems (12 papers). The work is most often cited by research in Signal Processing (780 citations), Computer Vision and Pattern Recognition (737 citations) and Human-Computer Interaction (130 citations). Vivek Kanhangad has collaborated with scholars based in India, Hong Kong and Singapore. Frequent co-authors include Ankita Jain, Ram Bilas Pachori, Ajay Kumar, David Zhang, T. Sunil Kumar, Bijaya Ketan Panigrahi, U. Rajendra Acharya, Vijay Anand, Shishir Maheshwari and Sulatha V. Bhandary. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.