Debasis Samanta

2.3k total citations
153 papers, 1.4k citations indexed

About

Debasis Samanta is a scholar working on Information Systems, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Debasis Samanta has authored 153 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Information Systems, 47 papers in Cognitive Neuroscience and 45 papers in Signal Processing. Recurrent topics in Debasis Samanta's work include Biometric Identification and Security (32 papers), User Authentication and Security Systems (26 papers) and EEG and Brain-Computer Interfaces (26 papers). Debasis Samanta is often cited by papers focused on Biometric Identification and Security (32 papers), User Authentication and Security Systems (26 papers) and EEG and Brain-Computer Interfaces (26 papers). Debasis Samanta collaborates with scholars based in India, United Kingdom and United States. Debasis Samanta's co-authors include Debasish Kundu, Somnath Dey, Subhas Barman, Monalisa Sarma, Samiran Chattopadhyay, Rajib Mall, Gaurang Panchal, Samit Bhattacharya, Pabitra Mitra and Debasis Kundu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Debasis Samanta

142 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debasis Samanta India 22 502 369 345 238 229 153 1.4k
Kai Qian United States 19 516 1.0× 346 0.9× 269 0.8× 86 0.4× 147 0.6× 148 1.3k
Dawn Song United States 11 775 1.5× 662 1.8× 93 0.3× 138 0.6× 39 0.2× 20 1.1k
Mario Frank United States 14 811 1.6× 609 1.7× 100 0.3× 131 0.6× 18 0.1× 23 1.2k
Rudy Hartanto Indonesia 16 151 0.3× 270 0.7× 88 0.3× 146 0.6× 29 0.1× 96 832
Rahul Gupta United States 21 507 1.0× 316 0.9× 93 0.3× 316 1.3× 207 0.9× 94 1.9k
Roger B. Dannenberg United States 25 158 0.3× 1.6k 4.2× 567 1.6× 1.6k 6.8× 95 0.4× 165 2.4k
Janet Siegmund Germany 20 869 1.7× 59 0.2× 177 0.5× 32 0.1× 310 1.4× 44 1.2k
Renato De Mori Canada 24 471 0.9× 1000 2.7× 89 0.3× 301 1.3× 135 0.6× 185 3.0k
V. Ramalingam India 21 255 0.5× 294 0.8× 44 0.1× 280 1.2× 48 0.2× 65 1.7k
Xin Qi China 14 217 0.4× 145 0.4× 182 0.5× 103 0.4× 18 0.1× 44 838

Countries citing papers authored by Debasis Samanta

Since Specialization
Citations

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

Fields of papers citing papers by Debasis Samanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasis Samanta

This figure shows the co-authorship network connecting the top 25 collaborators of Debasis Samanta. A scholar is included among the top collaborators of Debasis Samanta 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 Debasis Samanta. Debasis Samanta 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.
Pandey, K. K., et al.. (2025). Explainable artificial intelligence-based identification of the localized events in imagined speech electroencephalogram. Computers & Electrical Engineering. 127. 110608–110608.
2.
Sarma, Monalisa, et al.. (2024). Decoding Autism: Uncovering patterns in brain connectivity through sparsity analysis with rs-fMRI data. Journal of Neuroscience Methods. 405. 110100–110100. 3 indexed citations
3.
Sarma, Monalisa, et al.. (2024). MSSTNet: A multi-stream time-distributed spatio-temporal deep learning model to detect mind wandering from electroencephalogram signals. Computers & Electrical Engineering. 122. 110005–110005. 2 indexed citations
4.
Sarma, Monalisa, et al.. (2024). Privacy preserving unique identity generation from multimodal biometric data for privacy and security applications. Security and Privacy. 7(3). 2 indexed citations
5.
Sarma, Monalisa, et al.. (2024). Graph signal processing and graph learning approaches to Schizophrenia pattern identification in brain Electroencephalogram. Biomedical Signal Processing and Control. 100. 106954–106954. 2 indexed citations
6.
Parry, Andrew, et al.. (2024). Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12363–12377. 2 indexed citations
7.
Sarma, Monalisa, et al.. (2024). Tri-fuzzy interval arithmetic with deep learning and hybrid statistical approach for analysis and prognosis of cardiovascular disease. International Journal of Information Technology. 16(4). 2331–2342. 2 indexed citations
8.
Sarma, Monalisa, et al.. (2024). Statistical Analysis of Renal Risk Factors and Prediction of Chronic Kidney Disease. SN Computer Science. 5(4).
9.
Samanta, Debasis, et al.. (2023). Dictionary Learning and Greedy Algorithms for Removing Eye Blink Artifacts from EEG Signals. Circuits Systems and Signal Processing. 42(9). 5663–5683. 2 indexed citations
10.
Barman, Subhas, Samiran Chattopadhyay, & Debasis Samanta. (2023). Toward design a secure protocol for updating remotely stored credentials of a crypto‐biometric framework for multi‐server environment. Security and Privacy. 7(1).
11.
Samanta, A., Monalisa Sarma, & Debasis Samanta. (2023). ALERT: Atlas-Based Low Estimation Rank Tensor Approach to Detect Autism Spectrum Disorder*. PubMed. 2023. 1–4. 2 indexed citations
12.
Samanta, A., et al.. (2023). Statistical Analyses for Key Risk Factor Identification and Prediction of Chronic Kidney Disease *. PubMed. 2021. 1–4. 1 indexed citations
13.
Samanta, Debasis, et al.. (2014). EasyTap: An Easy Text Entry Method for Blind Mobile Phone Users. 13(4). 1 indexed citations
14.
Samanta, Debasis, et al.. (2012). An Approach to Design Virtual Keyboards for Text Composition in Indian Languages. International Journal of Human-Computer Interaction. 29(8). 516–540. 7 indexed citations
15.
Samanta, Debasis & Subir Kumar Sarkar. (2012). A simple SET-MOS universal hybrid circuit for realization of all basic logic functions. IEEE-International Conference On Advances In Engineering, Science And Management. 336–339. 3 indexed citations
16.
Samanta, Debasis. (2010). Improved Feature Processing for Iris Biometric Authentication System. Computer Systems: Science & Engineering. 1 indexed citations
17.
Mall, Rajib, et al.. (2010). Test coverage analysis based on an object‐oriented program model. Journal of Software Maintenance and Evolution Research and Practice. 23(7). 465–493. 5 indexed citations
18.
Biswas, Pradipta & Debasis Samanta. (2008). Friend: A Communication Aid for Persons With Disabilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 16(2). 205–209. 8 indexed citations
19.
Samanta, Debasis, et al.. (2003). Synthesis of Dual-VT Dynamic CMOS Circuits. 303–308.
20.
Samanta, Debasis, et al.. (2002). Optimal dual-V/sub T/ assignment for low-voltage energy-constrained CMOS circuits. Asia and South Pacific Design Automation Conference. 193–198. 8 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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