Prabir Kumar Naskar

414 total citations
21 papers, 317 citations indexed

About

Prabir Kumar Naskar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Prabir Kumar Naskar has authored 21 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Prabir Kumar Naskar's work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (8 papers) and AI in cancer detection (3 papers). Prabir Kumar Naskar is often cited by papers focused on Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (8 papers) and AI in cancer detection (3 papers). Prabir Kumar Naskar collaborates with scholars based in India, Mexico and Sweden. Prabir Kumar Naskar's co-authors include Atal Chaudhuri, Krishna Gopal Dhal, Swarnajit Ray, Jorge Gálvez, Arunita Das, Arunita Das, Utpal Biswas, Abdelazim G. Hussien and Shahram Rahimi and has published in prestigious journals such as Nonlinear Dynamics, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Prabir Kumar Naskar

20 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabir Kumar Naskar India 9 255 119 79 44 40 21 317
Borislav Stoyanov Bulgaria 12 320 1.3× 113 0.9× 82 1.0× 30 0.7× 84 2.1× 43 377
Atal Chaudhuri India 10 286 1.1× 110 0.9× 119 1.5× 44 1.0× 39 1.0× 55 386
Cuauhtémoc Mancillas-López Mexico 8 193 0.8× 129 1.1× 56 0.7× 26 0.6× 85 2.1× 23 260
K. C. Jithin Egypt 3 284 1.1× 73 0.6× 49 0.6× 30 0.7× 56 1.4× 4 333
Qianxue Wang China 12 201 0.8× 62 0.5× 66 0.8× 33 0.8× 92 2.3× 29 290
Krasimir Kordov Bulgaria 10 324 1.3× 97 0.8× 66 0.8× 30 0.7× 75 1.9× 21 358
Roayat Ismail Abdelfatah Egypt 10 232 0.9× 114 1.0× 53 0.7× 20 0.5× 32 0.8× 25 287

Countries citing papers authored by Prabir Kumar Naskar

Since Specialization
Citations

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

Fields of papers citing papers by Prabir Kumar Naskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabir Kumar Naskar. 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 Prabir Kumar Naskar. The network helps show where Prabir Kumar Naskar may publish in the future.

Co-authorship network of co-authors of Prabir Kumar Naskar

This figure shows the co-authorship network connecting the top 25 collaborators of Prabir Kumar Naskar. A scholar is included among the top collaborators of Prabir Kumar Naskar 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 Prabir Kumar Naskar. Prabir Kumar Naskar 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.
Das, Arunita, et al.. (2024). Particle Swarm Optimizer Variants for Multi-level Thresholding: Theory, Performance Enhancement and Evaluation. Archives of Computational Methods in Engineering. 31(5). 3115–3150. 7 indexed citations
2.
Ray, Swarnajit, Arunita Das, Krishna Gopal Dhal, Jorge Gálvez, & Prabir Kumar Naskar. (2022). Whale Optimizer-Based Clustering for Breast Histopathology Image Segmentation. International Journal of Swarm Intelligence Research. 13(1). 1–29. 4 indexed citations
3.
Ray, Swarnajit, Krishna Gopal Dhal, & Prabir Kumar Naskar. (2022). Rough Cuckoo Search: A Novel Mathematics Based Optimization Approach Based on Rough Set. Pattern Recognition and Image Analysis. 32(1). 228–247. 8 indexed citations
4.
Ray, Swarnajit, Krishna Gopal Dhal, & Prabir Kumar Naskar. (2022). Particle swarm optimizer based epithelial layer segmentation in CIElab color space. 331–336. 1 indexed citations
5.
Naskar, Prabir Kumar, et al.. (2021). An efficient block-level image encryption scheme based on multi-chaotic maps with DNA encoding. Nonlinear Dynamics. 105(4). 3673–3698. 30 indexed citations
6.
Ray, Swarnajit, et al.. (2021). Cuckoo search with differential evolution mutation and Masi entropy for multi-level image segmentation. Multimedia Tools and Applications. 81(3). 4073–4117. 16 indexed citations
7.
Naskar, Prabir Kumar, et al.. (2021). An audio encryption based on distinct key blocks along with PWLCM and ECA. Nonlinear Dynamics. 103(2). 2019–2042. 19 indexed citations
8.
Ray, Swarnajit, Arunita Das, Krishna Gopal Dhal, Jorge Gálvez, & Prabir Kumar Naskar. (2020). Cauchy with whale optimizer based eagle strategy for multi-level color hematology image segmentation. Neural Computing and Applications. 33(11). 5917–5949. 25 indexed citations
9.
Naskar, Prabir Kumar, et al.. (2020). A robust image encryption scheme using chaotic tent map and cellular automata. Nonlinear Dynamics. 100(3). 2877–2898. 90 indexed citations
10.
Naskar, Prabir Kumar, et al.. (2019). DNA Encoding and Channel Shuffling for Secured Encryption of Audio Data. Multimedia Tools and Applications. 78(17). 25019–25042. 42 indexed citations
11.
Naskar, Prabir Kumar, et al.. (2016). A Key Based Secure Threshold Cryptography for Secret Image. International journal of network security. 18(1). 68–81. 4 indexed citations
12.
Naskar, Prabir Kumar & Atal Chaudhuri. (2016). Secured secret sharing technique based on chaotic map and DNA encoding with application on secret image. The Imaging Science Journal. 64(8). 460–470. 6 indexed citations
13.
Naskar, Prabir Kumar & Atal Chaudhuri. (2015). A robust image encryption technique using dual chaotic map. International Journal of Electronic Security and Digital Forensics. 7(4). 358–358. 7 indexed citations
14.
Naskar, Prabir Kumar, et al.. (2014). Simulation of Denial of Service (DoS) Attack using Matlab and Xilinx. IOSR Journal of Computer Engineering. 16(3). 119–125. 3 indexed citations
15.
Naskar, Prabir Kumar, et al.. (2014). A secure symmetric image encryption based on linear geometry. 9 indexed citations
16.
Naskar, Prabir Kumar, et al.. (2011). Ultra Secured and Authentic Key Distribution Protocol using a Novel Secret Sharing Technique. International Journal of Computer Applications. 19(7). 12–15. 6 indexed citations
17.
Naskar, Prabir Kumar, et al.. (2011). Minimization of Handoff Failure by Introducing a New Cell Coverage Area in the Handoff Region. 7 indexed citations
18.
Naskar, Prabir Kumar, et al.. (2011). A Novel Image Secret Sharing Scheme. 177–180. 9 indexed citations
19.
Naskar, Prabir Kumar, et al.. (2011). Shared Cryptography with Embedded Session Key for Secret Audio. International Journal of Computer Applications. 26(8). 5–9. 8 indexed citations
20.
Rahimi, Shahram, et al.. (2005). A New Non-Blocking Synchronous Checkpointing Scheme for Distributed Systems.. Computers and Their Applications. 26–31. 2 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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