Arvind Selwal

960 total citations
60 papers, 516 citations indexed

About

Arvind Selwal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Arvind Selwal has authored 60 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 32 papers in Signal Processing and 22 papers in Information Systems. Recurrent topics in Arvind Selwal's work include Biometric Identification and Security (27 papers), User Authentication and Security Systems (20 papers) and Advanced Steganography and Watermarking Techniques (14 papers). Arvind Selwal is often cited by papers focused on Biometric Identification and Security (27 papers), User Authentication and Security Systems (20 papers) and Advanced Steganography and Watermarking Techniques (14 papers). Arvind Selwal collaborates with scholars based in India, Taiwan and Australia. Arvind Selwal's co-authors include Yashwant Singh, Pooja Anand, Pradeep Kumar Singh, Neeraj Kumar, Mamoun Alazab, Sunil Kumar Gupta, Sudeep Tanwar, Nagesh Kumar, Maria Simona Raboacă and Wei‐Chiang Hong and has published in prestigious journals such as IEEE Access, Sensors and Applied Soft Computing.

In The Last Decade

Arvind Selwal

51 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Selwal India 12 224 182 177 171 89 60 516
Shimon Modi United States 10 197 0.9× 75 0.4× 94 0.5× 186 1.1× 35 0.4× 16 343
Zia Saquib India 9 77 0.3× 70 0.4× 75 0.4× 61 0.4× 41 0.5× 33 283
Gerald T. Candela United States 8 186 0.8× 185 1.0× 72 0.4× 100 0.6× 166 1.9× 12 388
Brian J. Matt United States 7 233 1.0× 202 1.1× 443 2.5× 191 1.1× 106 1.2× 15 711
Seyed Mehdi Hazrati Fard Iran 10 208 0.9× 31 0.2× 209 1.2× 135 0.8× 146 1.6× 22 466
Vinayak Ashok Bharadi India 11 273 1.2× 328 1.8× 42 0.2× 185 1.1× 57 0.6× 85 507
Hudan Studiawan Indonesia 12 100 0.4× 88 0.5× 174 1.0× 158 0.9× 191 2.1× 77 425
M. Baskar India 11 43 0.2× 60 0.3× 137 0.8× 63 0.4× 77 0.9× 40 321
Muhammad Shahid Saeed China 10 93 0.4× 27 0.1× 239 1.4× 94 0.5× 180 2.0× 13 414
Saša Mrdović Bosnia and Herzegovina 11 136 0.6× 37 0.2× 236 1.3× 204 1.2× 123 1.4× 35 456

Countries citing papers authored by Arvind Selwal

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Selwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Selwal

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Selwal. A scholar is included among the top collaborators of Arvind Selwal 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 Arvind Selwal. Arvind Selwal 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.
Selwal, Arvind, et al.. (2025). Cascading adaptive binary image feature maps with vision transformer for iris spoof detection. Applied Soft Computing. 170. 112713–112713. 2 indexed citations
2.
Selwal, Arvind, et al.. (2025). IensNet: A novel and efficient approach for iris spoof detection via ensemble of deep models. Multimedia Tools and Applications. 84(27). 33237–33266.
3.
Sharma, S.C. & Arvind Selwal. (2025). Potential of artificial intelligence in deepfake media: From generation to detection mechanisms, state-of-the-art, and challenges. Computer Science Review. 60. 100866–100866.
4.
Selwal, Arvind, et al.. (2025). Cascading Bagging and Boosting Ensemble Methods for Intrusion Detection in Cyber‐Physical Systems. Security and Privacy. 8(1). 6 indexed citations
5.
Sharma, Shubham & Arvind Selwal. (2025). Improved Deepfake Detection with Optimized Preprocessing for Low-Quality Images. Procedia Computer Science. 258. 507–516. 1 indexed citations
6.
Gupta, T. C. S. M., et al.. (2025). A survey on image cryptography mechanisms: hitherto, and future directions. Computer Science Review. 58. 100783–100783.
7.
Gupta, T. C. S. M., et al.. (2025). A Novel Lightweight Image Cryptographic Algorithm via Substitution‐Permutation Methods. Security and Privacy. 8(2). 1 indexed citations
8.
Selwal, Arvind, et al.. (2023). Domain adaptation assisted automatic real-time human-based video summarization. Engineering Applications of Artificial Intelligence. 124. 106584–106584. 6 indexed citations
9.
Selwal, Arvind, et al.. (2023). CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes. Artificial Intelligence in Medicine. 139. 102544–102544. 3 indexed citations
10.
Selwal, Arvind, et al.. (2023). IVIDNet: Intelligent iris vitality detection via weighted prediction score level fusion. Multimedia Tools and Applications. 82(29). 45959–45981.
11.
Selwal, Arvind, et al.. (2023). SFincBuster: Spoofed fingerprint buster via incremental learning using leverage bagging classifier. Image and Vision Computing. 135. 104713–104713. 3 indexed citations
12.
Selwal, Arvind, et al.. (2023). FinCaT: a novel approach for fingerprint template protection using quadrant mapping via non-invertible transformation. Multimedia Tools and Applications. 82(15). 22795–22813. 2 indexed citations
13.
Selwal, Arvind, et al.. (2023). A survey on face presentation attack detection mechanisms: hitherto and future perspectives. Multimedia Systems. 29(3). 1527–1577. 16 indexed citations
14.
Selwal, Arvind, et al.. (2023). SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features. Multimedia Tools and Applications. 82(20). 31445–31465. 3 indexed citations
15.
Selwal, Arvind, et al.. (2022). A survey on data-driven iris spoof detectors: state-of-the-art, open issues and future perspectives. Multimedia Tools and Applications. 82(13). 19745–19792. 4 indexed citations
16.
Selwal, Arvind, et al.. (2021). An intelligent approach for fingerprint presentation attack detection using ensemble learning with improved local image features. Multimedia Tools and Applications. 81(16). 22129–22161. 21 indexed citations
17.
Selwal, Arvind, et al.. (2021). HyFiPAD: a hybrid approach for fingerprint presentation attack detection using local and adaptive image features. The Visual Computer. 38(8). 2999–3025. 25 indexed citations
18.
Selwal, Arvind, et al.. (2020). A Multi-layer perceptron based intelligent thyroid disease prediction system. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
19.
Singh, Yashwant, et al.. (2020). An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare. Sensors. 20(14). 3887–3887. 43 indexed citations
20.
Selwal, Arvind, et al.. (2018). An Analysis of Biometric Based Security Systems. 306–311. 16 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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