Vivek Kanhangad

2.2k total citations
52 papers, 1.5k citations indexed

About

Vivek Kanhangad is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vivek Kanhangad has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Signal Processing, 31 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Vivek Kanhangad's work include Biometric Identification and Security (28 papers), Face recognition and analysis (14 papers) and User Authentication and Security Systems (12 papers). Vivek Kanhangad is often cited by papers focused on Biometric Identification and Security (28 papers), Face recognition and analysis (14 papers) and User Authentication and Security Systems (12 papers). Vivek Kanhangad collaborates with scholars based in India, Hong Kong and Singapore. Vivek Kanhangad's co-authors include Ankita Jain, Ram Bilas Pachori, David Zhang, Ajay Kumar, T. Sunil Kumar, Bijaya Ketan Panigrahi, U. Rajendra Acharya, Vijay Anand, Sulatha V. Bhandary and Shishir Maheshwari and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Vivek Kanhangad

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vivek Kanhangad India 21 780 737 368 275 197 52 1.5k
Hatim Aboalsamh Saudi Arabia 20 201 0.3× 567 0.8× 272 0.7× 87 0.3× 300 1.5× 97 1.3k
Hanung Adi Nugroho Indonesia 21 173 0.2× 616 0.8× 299 0.8× 121 0.4× 475 2.4× 287 2.0k
Kenneth Revett United Kingdom 17 307 0.4× 454 0.6× 407 1.1× 226 0.8× 299 1.5× 63 1.4k
Fernando Alonso‐Fernandez Sweden 27 1.3k 1.7× 1.3k 1.8× 79 0.2× 489 1.8× 198 1.0× 92 2.1k
Baha Şen Türkiye 14 233 0.3× 155 0.2× 366 1.0× 62 0.2× 220 1.1× 62 1.0k
Sheng-hua Zhong China 22 225 0.3× 964 1.3× 272 0.7× 99 0.4× 448 2.3× 92 1.7k
Gian Luca Marcialis Italy 26 1.5k 1.9× 1.2k 1.6× 241 0.7× 592 2.2× 241 1.2× 98 2.2k
Vitomir Štruc Slovenia 24 1.0k 1.3× 1.5k 2.0× 44 0.1× 196 0.7× 328 1.7× 116 2.1k
Peter Peer Slovenia 22 702 0.9× 1.3k 1.8× 65 0.2× 155 0.6× 155 0.8× 103 1.7k
Guee-Sang Lee South Korea 19 194 0.2× 981 1.3× 132 0.4× 57 0.2× 276 1.4× 185 1.6k

Countries citing papers authored by Vivek Kanhangad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kanhangad, Vivek, et al.. (2025). CrowdNeXt: Boosting Weakly Supervised Crowd Counting With Dual-Path Feature Aggregation and a Robust Loss Function. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.
2.
Maheshwari, Shishir, Kandala N. V. P. S. Rajesh, Vivek Kanhangad, U. Rajendra Acharya, & T. Sunil Kumar. (2025). Entropy difference-based EEG channel selection technique for automated detection of ADHD. PLoS ONE. 20(4). e0319487–e0319487. 1 indexed citations
3.
Anand, Vijay, et al.. (2024). VerifNet - A Novel Score Fusion-Based Method Leveraging Wavelets With Deep Learning and Minutiae Matching for Contactless Fingerprint Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 7(3). 344–353. 3 indexed citations
4.
Kanhangad, Vivek, et al.. (2023). CrowdFormer: Weakly-supervised crowd counting with improved generalizability. Journal of Visual Communication and Image Representation. 94. 103853–103853. 26 indexed citations
5.
Kumar, T. Sunil, et al.. (2022). Automated Schizophrenia detection using local descriptors with EEG signals. Engineering Applications of Artificial Intelligence. 117. 105602–105602. 30 indexed citations
6.
Anand, Vijay & Vivek Kanhangad. (2019). Cross-sensor Pore Detection in High-resolution Fingerprint Images using Unsupervised Domain Adaptation. arXiv (Cornell University). 2 indexed citations
7.
Anand, Vijay & Vivek Kanhangad. (2019). Pore-based indexing for fingerprints acquired using high-resolution sensors. Pattern Analysis and Applications. 23(1). 429–441. 10 indexed citations
8.
Anand, Vijay & Vivek Kanhangad. (2019). Deep Convolutional Neural Network for Dot and Incipient Ridge Detection in High-resolution Fingerprints. 1–6. 1 indexed citations
9.
Jaswal, Gaurav, et al.. (2018). Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach. Machine Vision and Applications. 29(8). 1269–1286. 27 indexed citations
10.
Cholakkal, Hisham, et al.. (2018). CNN-based gender classification in near-infrared periocular images. Pattern Analysis and Applications. 22(4). 1493–1504. 8 indexed citations
11.
Tiwari, Ashwani Kumar, Vivek Kanhangad, & Ram Bilas Pachori. (2017). Histogram refinement for texture descriptor based image retrieval. Signal Processing Image Communication. 53. 73–85. 24 indexed citations
13.
Kanhangad, Vivek, et al.. (2017). A study on vulnerability and presentation attack detection in palmprint verification system. Pattern Analysis and Applications. 21(3). 769–782. 16 indexed citations
14.
Jain, Ankita & Vivek Kanhangad. (2016). Investigating gender recognition in smartphones using accelerometer and gyroscope sensor readings. 597–602. 35 indexed citations
15.
Chauhan, Nitesh, et al.. (2016). Fingerprint classification using crease features. 13. 56–60.
16.
Kumar, T. Sunil & Vivek Kanhangad. (2015). Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform. 8. 1–7. 2 indexed citations
17.
Jain, Ankita & Vivek Kanhangad. (2015). Exploring orientation and accelerometer sensor data for personal authentication in smartphones using touchscreen gestures. Pattern Recognition Letters. 68. 351–360. 43 indexed citations
18.
Kanhangad, Vivek, et al.. (2014). Classification of seizure and seizure-free EEG signals using multi-level local patterns. 646–650. 20 indexed citations
19.
Kanhangad, Vivek, Ajay Kumar, & David Zhang. (2011). A Unified Framework for Contactless Hand Verification. IEEE Transactions on Information Forensics and Security. 6(3). 1014–1027. 82 indexed citations
20.
Kanhangad, Vivek, Ajay Kumar, & David Zhang. (2009). Combining 2D and 3D hand geometry features for biometric verification. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 39–44. 30 indexed citations

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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