Pabitra Pal

412 total citations
17 papers, 249 citations indexed

About

Pabitra Pal is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Pabitra Pal has authored 17 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Pabitra Pal's work include Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Digital Media Forensic Detection (8 papers). Pabitra Pal is often cited by papers focused on Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (10 papers) and Digital Media Forensic Detection (8 papers). Pabitra Pal collaborates with scholars based in India and United States. Pabitra Pal's co-authors include Biswapati Jana, Jaydeb Bhaumik, Tapan Kumar Gandhi, Rajanikant Panda, Tapas Si, Bidyut Mazumdar, Bikesh Kumar Singh, Utpal Nandi, Debasis Giri and Rajendra Sahu and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Visual Communication and Image Representation and Wireless Personal Communications.

In The Last Decade

Pabitra Pal

17 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pabitra Pal India 8 120 116 85 33 28 17 249
Ali Emami Iran 8 228 1.9× 153 1.3× 83 1.0× 48 1.5× 24 0.9× 12 398
Nesma Houmani France 9 83 0.7× 148 1.3× 46 0.5× 29 0.9× 11 0.4× 21 283
Isah Salim Ahmad China 8 145 1.2× 87 0.8× 36 0.4× 72 2.2× 11 0.4× 17 278
Ömer Türk Türkiye 8 42 0.3× 171 1.5× 84 1.0× 44 1.3× 31 1.1× 24 268
Abbas Ebrahimi-Moghadam Iran 8 91 0.8× 82 0.7× 77 0.9× 46 1.4× 9 0.3× 18 240
Baocan Zhang China 7 36 0.3× 213 1.8× 86 1.0× 55 1.7× 46 1.6× 13 281
Sanjoy Kumar Saha India 9 155 1.3× 66 0.6× 113 1.3× 21 0.6× 7 0.3× 29 271
Isselmou Abd El Kader China 9 169 1.4× 86 0.7× 39 0.5× 86 2.6× 6 0.2× 21 323
Rashima Mahajan India 9 84 0.7× 86 0.7× 18 0.2× 33 1.0× 13 0.5× 32 264
Yoshikazu Washizawa Japan 9 65 0.5× 151 1.3× 119 1.4× 49 1.5× 58 2.1× 38 302

Countries citing papers authored by Pabitra Pal

Since Specialization
Citations

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

Fields of papers citing papers by Pabitra Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pabitra Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Pabitra Pal. A scholar is included among the top collaborators of Pabitra Pal 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 Pabitra Pal. Pabitra Pal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Nandi, Utpal, et al.. (2025). Tsi-cnn-net: truly shift-invariant convolutional neural network for Indian sign language recognition system. Pattern Analysis and Applications. 28(2). 1 indexed citations
2.
Pal, Pabitra, et al.. (2024). Integer wavelet transform based watermarking scheme for medical image authentication. Multimedia Tools and Applications. 83(32). 78001–78022. 3 indexed citations
3.
Nandi, Utpal, et al.. (2024). sqFm: a novel adaptive optimization scheme for deep learning model. Evolutionary Intelligence. 17(4). 2479–2494. 2 indexed citations
4.
Pal, Pabitra, et al.. (2024). A robust watermarking approach for medical image authentication using dual image and quorum function. Journal of Visual Communication and Image Representation. 104. 104299–104299. 1 indexed citations
5.
Pal, Pabitra, et al.. (2023). A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform. Multimedia Tools and Applications. 82(26). 41187–41206. 7 indexed citations
6.
Pal, Pabitra, et al.. (2023). A novel steganographic technique for medical image using SVM and IWT. Multimedia Tools and Applications. 82(13). 20497–20516. 12 indexed citations
7.
Pal, Pabitra, Biswapati Jana, & Jaydeb Bhaumik. (2021). An Image Authentication and Tampered Detection Scheme Exploiting Local Binary Pattern Along with Hamming Error Correcting Code. Wireless Personal Communications. 121(1). 939–961. 11 indexed citations
8.
Pal, Pabitra, Biswapati Jana, & Jaydeb Bhaumik. (2021). A secure reversible color image watermarking scheme based on LBP, lagrange interpolation polynomial and weighted matrix. Multimedia Tools and Applications. 80(14). 21651–21678. 19 indexed citations
9.
Pal, Pabitra, Biswapati Jana, & Jaydeb Bhaumik. (2019). Watermarking scheme using local binary pattern for image authentication and tamper detection through dual image. Security and Privacy. 2(2). 27 indexed citations
10.
Pal, Pabitra, Biswapati Jana, & Jaydeb Bhaumik. (2019). Robust watermarking scheme for tamper detection and authentication exploiting CA. IET Image Processing. 13(12). 2116–2129. 10 indexed citations
11.
Pal, Pabitra, et al.. (2018). Weighted matrix based reversible watermarking scheme using color image. Multimedia Tools and Applications. 77(18). 23073–23098. 23 indexed citations
12.
Pal, Pabitra, et al.. (2018). Improved data hiding capacity through repeated embedding using modified weighted matrix for color image. International Journal of Computers and Applications. 41(3). 218–232. 4 indexed citations
13.
Jana, Biswapati, et al.. (2013). IMAGE STEGANOGRAPHY BASED ON CELLULAR AUTOMATA. International Journal of Pure and Apllied Mathematics. 83(5). 2 indexed citations
14.
Pal, Pabitra, et al.. (2011). Expert system design for classification of brain waves and epileptic-seizure detection. Open Repository and Bibliography (University of Liège). 10. 187–192. 3 indexed citations
15.
Pal, Pabitra, et al.. (2010). Feature extraction for evaluation of Muscular Atrophy. 1–4. 13 indexed citations
16.
Panda, Rajanikant, et al.. (2010). Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction. Open Repository and Bibliography (University of Liège). 405–408. 107 indexed citations
17.
Sahu, Rajendra, et al.. (2010). Chaos Based Nonlinear Analysis of Epileptic Seizure. Open Repository and Bibliography (University of Liège). 594–598. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026