Hunny Mehrotra

508 total citations
24 papers, 287 citations indexed

About

Hunny Mehrotra is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hunny Mehrotra has authored 24 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 19 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Hunny Mehrotra's work include Biometric Identification and Security (22 papers), User Authentication and Security Systems (9 papers) and Face and Expression Recognition (6 papers). Hunny Mehrotra is often cited by papers focused on Biometric Identification and Security (22 papers), User Authentication and Security Systems (9 papers) and Face and Expression Recognition (6 papers). Hunny Mehrotra collaborates with scholars based in India, Saudi Arabia and Italy. Hunny Mehrotra's co-authors include Banshidhar Majhi, Phalguni Gupta, Pankaj Kumar, Mayank Vatsa, Richa Singh, Dakshina Ranjan Kisku, Jamuna Kanta Sing, Sambit Bakshi, Phalguni Gupta and Saurabh Das and has published in prestigious journals such as PLoS ONE, Pattern Recognition and Journal of Network and Computer Applications.

In The Last Decade

Hunny Mehrotra

24 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hunny Mehrotra India 10 239 199 119 28 17 24 287
Heinz Hofbauer Austria 11 240 1.0× 243 1.2× 85 0.7× 24 0.9× 20 1.2× 40 374
Kiran B. Raja Norway 12 396 1.7× 305 1.5× 181 1.5× 35 1.3× 22 1.3× 31 474
Ivan Fratrić Croatia 6 301 1.3× 224 1.1× 153 1.3× 34 1.2× 11 0.6× 8 338
Meiling Fang Germany 13 229 1.0× 288 1.4× 61 0.5× 22 0.8× 57 3.4× 26 364
Prathyusha Kanakam India 7 240 1.0× 126 0.6× 99 0.8× 27 1.0× 27 1.6× 22 307
Craig Belcher United States 9 294 1.2× 214 1.1× 125 1.1× 44 1.6× 16 0.9× 15 336
Nesli Erdoğmuş France 7 397 1.7× 378 1.9× 122 1.0× 7 0.3× 17 1.0× 14 484
Ivana Chingovska Switzerland 4 600 2.5× 547 2.7× 162 1.4× 13 0.5× 50 2.9× 5 637
Tiago de Freitas Pereira Switzerland 8 449 1.9× 453 2.3× 91 0.8× 8 0.3× 24 1.4× 14 530
Tobias Scheidat Germany 9 126 0.5× 126 0.6× 88 0.7× 16 0.6× 25 1.5× 23 185

Countries citing papers authored by Hunny Mehrotra

Since Specialization
Citations

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

Fields of papers citing papers by Hunny Mehrotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunny Mehrotra

This figure shows the co-authorship network connecting the top 25 collaborators of Hunny Mehrotra. A scholar is included among the top collaborators of Hunny Mehrotra 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 Hunny Mehrotra. Hunny Mehrotra 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.
Mehrotra, Hunny, Richa Singh, Mayank Vatsa, & Banshidhar Majhi. (2015). Incremental granular relevance vector machine: A case study in multimodal biometrics. Pattern Recognition. 56. 63–76. 27 indexed citations
2.
Mehrotra, Hunny, Mayank Vatsa, Richa Singh, & Banshidhar Majhi. (2013). Does Iris Change Over Time?. PLoS ONE. 8(11). e78333–e78333. 15 indexed citations
3.
Bakshi, Sambit, Hunny Mehrotra, & Banshidhar Majhi. (2013). Postmatch pruning of SIFT pairs for iris recognition. International Journal of Biometrics. 5(2). 160–160. 2 indexed citations
4.
Mehrotra, Hunny, Pankaj Kumar, & Banshidhar Majhi. (2012). Fast segmentation and adaptive SURF descriptor for iris recognition. Mathematical and Computer Modelling. 58(1-2). 132–146. 40 indexed citations
5.
Mehrotra, Hunny, Mayank Vatsa, Richa Singh, & Banshidhar Majhi. (2012). Biometric match score fusion using RVM: A case study in multi-unit iris recognition. 65–70. 13 indexed citations
6.
Bakshi, Sambit, Saurabh Das, Hunny Mehrotra, & Pankaj Kumar. (2012). Score level fusion of SIFT and SURF for iris. 527–531. 8 indexed citations
7.
Kisku, Dakshina Ranjan, Hunny Mehrotra, Phalguni Gupta, & Jamuna Kanta Sing. (2011). ROBUST MULTI-CAMERA VIEW FACE RECOGNITION. International Journal of Computers and Applications. 33(3). 6 indexed citations
8.
Mehrotra, Hunny, Banshidhar Majhi, & Pankaj Kumar. (2011). Unconstrained iris recognition using F-SIFT. 1–5. 16 indexed citations
9.
Bakshi, Sambit, Hunny Mehrotra, & Banshidhar Majhi. (2011). Real-time iris segmentation based on image morphology. 335–335. 13 indexed citations
10.
Mehrotra, Hunny, et al.. (2011). Parallel geometric hashing for robust iris indexing. Journal of Real-Time Image Processing. 8(3). 341–349. 3 indexed citations
11.
Mehrotra, Hunny, et al.. (2010). Bit plane slicing technique for iris based biometric system. 350–355. 1 indexed citations
12.
Kisku, Dakshina Ranjan, Phalguni Gupta, Hunny Mehrotra, & Jamuna Kanta Sing. (2009). Multimodal Belief Fusion for Face and Ear Biometrics. Intelligent Information Management. 1(3). 166–171. 15 indexed citations
13.
Kisku, Dakshina Ranjan, Hunny Mehrotra, Phalguni Gupta, & Jamuna Kanta Sing. (2009). Probabilistic graph-based feature fusion and score fusion using SIFT features for face and ear biometrics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7443. 744306–744306. 3 indexed citations
14.
Mehrotra, Hunny, et al.. (2009). An efficient iris recognition using local feature descriptor. 1957–1960. 9 indexed citations
15.
Mehrotra, Hunny, et al.. (2009). An efficient dual stage approach for iris feature extraction using interest point pairing. 59–62. 6 indexed citations
16.
Kisku, Dakshina Ranjan, Hunny Mehrotra, Phalguni Gupta, & Jamuna Kanta Sing. (2009). SIFT-based ear recognition by fusion of detected keypoints from color similarity slice regions. 380–385. 30 indexed citations
17.
Mehrotra, Hunny, Banshidhar Majhi, & Phalguni Gupta. (2009). Robust iris indexing scheme using geometric hashing of SIFT keypoints. Journal of Network and Computer Applications. 33(3). 300–313. 44 indexed citations
18.
Mehrotra, Hunny, et al.. (2008). Texture based iris recognition system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6979. 697903–697903. 1 indexed citations
19.
Mehrotra, Hunny, Banshidhar Majhi, & Phalguni Gupta. (2008). Multi-Algorithmic Iris Authentication System. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
20.
Gupta, Phalguni, et al.. (2006). Multimodal biometrics system for efficient human recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6202. 62020Y–62020Y. 9 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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