Pankaj Wasnik

534 total citations
27 papers, 291 citations indexed

About

Pankaj Wasnik is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pankaj Wasnik has authored 27 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Pankaj Wasnik's work include Biometric Identification and Security (10 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (5 papers). Pankaj Wasnik is often cited by papers focused on Biometric Identification and Security (10 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (5 papers). Pankaj Wasnik collaborates with scholars based in India, Taiwan and Norway. Pankaj Wasnik's co-authors include Christoph Busch, Raghavendra Ramachandra, Kiran Raja, Vishal Chudasama, Ali Khodabakhsh, Nirmesh J. Shah, Sébastien Marcel, Sushma Venkatesh, Sushil Bhattacharjee and Kiran B. Raja and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Pankaj Wasnik

21 papers receiving 277 citations

Peers

Pankaj Wasnik
Tangjie Lv China
Haiyang Xu China
Chengfeng Mao United States
Sangwu Lee United States
Cristian Canton Ferrer United States
Yun Jin China
Venugopal Govindaraju United States
Khawar Mehmood Pakistan
Hugo Meinedo Portugal
Tangjie Lv China
Pankaj Wasnik
Citations per year, relative to Pankaj Wasnik Pankaj Wasnik (= 1×) peers Tangjie Lv

Countries citing papers authored by Pankaj Wasnik

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Wasnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Wasnik

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Wasnik. A scholar is included among the top collaborators of Pankaj Wasnik 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 Pankaj Wasnik. Pankaj Wasnik 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
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Singh, Prashant Kumar, et al.. (2025). Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs. Proceedings of the AAAI Conference on Artificial Intelligence. 39(23). 25128–25136.
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Chudasama, Vishal, et al.. (2024). Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection. 1965–1974. 4 indexed citations
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Chudasama, Vishal, et al.. (2024). Open-Set Object Detection By Aligning Known Class Representations. 218–227. 5 indexed citations
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Chudasama, Vishal, et al.. (2023). Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection. 4570–4579. 6 indexed citations
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Wasnik, Pankaj, Raghavendra Ramachandra, Kiran Raja, & Christoph Busch. (2018). Presentation Attack Detection for Smartphone Based Fingerphoto Recognition Using Second Order Local Structures. 241–246. 15 indexed citations
11.
Ramachandra, Raghavendra, et al.. (2018). Fusion of Multi-Scale Local Phase Quantization Features for Face Presentation Attack Detection. 2107–2112. 4 indexed citations
12.
Khodabakhsh, Ali, Raghavendra Ramachandra, Kiran Raja, Pankaj Wasnik, & Christoph Busch. (2018). Fake Face Detection Methods: Can They Be Generalized?. 1–6. 91 indexed citations
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Wasnik, Pankaj, et al.. (2018). Improved Fingerphoto Verification System Using Multi-scale Second Order Local Structures. 1–5. 7 indexed citations
14.
Wasnik, Pankaj, et al.. (2018). Baseline Evaluation of Smartphone based Finger-photo Verification System: A Preliminary Study of Technology Readiness. 11. 2 indexed citations
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Wasnik, Pankaj, et al.. (2018). Hessian-based robust ray-tracing of implicit surfaces on GPU. 1–4. 3 indexed citations
16.
Wasnik, Pankaj, Kiran Raja, Raghavendra Ramachandra, & Christoph Busch. (2017). Assessing face image quality for smartphone based face recognition system. 1–6. 32 indexed citations
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Raja, Kiran, Pankaj Wasnik, Raghavendra Ramachandra, & Christoph Busch. (2017). Robust face presentation attack detection on smartphones : An approach based on variable focus. 24. 651–658. 1 indexed citations
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Agrawal, Vivek, Pankaj Wasnik, & Einar Snekkenes. (2017). Factors Influencing the Participation of Information Security Professionals in Electronic Communities of Practice. 50–60. 1 indexed citations
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Wasnik, Pankaj, et al.. (2017). Fusing Biometric Scores Using Subjective Logic for Gait Recognition on Smartphone. 1–5. 2 indexed citations
20.
Wasnik, Pankaj, Kiran Raja, Raghavendra Ramachandra, & Christoph Busch. (2016). Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones. 1. 104–111. 6 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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