Shouvik Chakraborty

1.5k total citations
45 papers, 551 citations indexed

About

Shouvik Chakraborty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shouvik Chakraborty has authored 45 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Shouvik Chakraborty's work include Chaos-based Image/Signal Encryption (11 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Digital Imaging for Blood Diseases (7 papers). Shouvik Chakraborty is often cited by papers focused on Chaos-based Image/Signal Encryption (11 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Digital Imaging for Blood Diseases (7 papers). Shouvik Chakraborty collaborates with scholars based in India, China and Egypt. Shouvik Chakraborty's co-authors include Kalyani Mali, Sankhadeep Chatterjee, Mousomi Roy, Amira S. Ashour, Nilanjan Dey, Soumen Banerjee, Ahmed S. Ahmed, S. Bhowmik, Dac‐Nhuong Le and Fuqian Shi and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Applied Soft Computing.

In The Last Decade

Shouvik Chakraborty

43 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouvik Chakraborty India 14 331 210 104 66 56 45 551
Abdul Majid Pakistan 14 145 0.4× 217 1.0× 179 1.7× 70 1.1× 22 0.4× 39 601
Yi‐Ta Wu United States 13 342 1.0× 174 0.8× 124 1.2× 24 0.4× 18 0.3× 29 519
Jialin Chen China 12 301 0.9× 163 0.8× 23 0.2× 63 1.0× 40 0.7× 56 512
Peilin Zhong United States 7 124 0.4× 173 0.8× 88 0.8× 19 0.3× 30 0.5× 26 343
Xiaofeng Qi China 8 113 0.3× 408 1.9× 261 2.5× 26 0.4× 47 0.8× 15 560
Yongsheng Dong China 14 455 1.4× 135 0.6× 30 0.3× 154 2.3× 17 0.3× 20 615
Min-Jen Tsai Taiwan 16 654 2.0× 112 0.5× 59 0.6× 60 0.9× 8 0.1× 76 827
Tetsushi Koide Japan 14 207 0.6× 173 0.8× 76 0.7× 39 0.6× 26 0.5× 153 785
Yijie Zhang China 10 125 0.4× 131 0.6× 44 0.4× 46 0.7× 8 0.1× 33 417
Badal Soni India 13 346 1.0× 275 1.3× 81 0.8× 104 1.6× 8 0.1× 64 673

Countries citing papers authored by Shouvik Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Shouvik Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouvik Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Shouvik Chakraborty. A scholar is included among the top collaborators of Shouvik Chakraborty 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 Shouvik Chakraborty. Shouvik Chakraborty 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.
Chakraborty, Shouvik & Kalyani Mali. (2024). Microscopic image segmentation approach based on modified affinity propagation-based clustering. Multimedia Tools and Applications. 83(32). 78161–78182.
2.
Roy, Mousomi, Shouvik Chakraborty, & Kalyani Mali. (2024). Audio encryption framework based on chaotic map and DNA encoding. Applied Acoustics. 224. 110152–110152. 6 indexed citations
3.
Chakraborty, Shouvik, Kalyani Mali, & Sushmita Mitra. (2024). Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6023–6032. 1 indexed citations
4.
Roy, Mousomi, Shouvik Chakraborty, & Kalyani Mali. (2023). An optimized image encryption framework with chaos theory and EMO approach. Multimedia Tools and Applications. 82(20). 30309–30343. 2 indexed citations
5.
Chakraborty, Shouvik & Kalyani Mali. (2023). A balanced hybrid cuckoo search algorithm for microscopic image segmentation. Soft Computing. 28(6). 5097–5124. 2 indexed citations
6.
Roy, Mousomi, Shouvik Chakraborty, & Kalyani Mali. (2023). Metaheuristic-supported image encryption framework based on binary search tree and DNA encoding. Multimedia Tools and Applications. 83(9). 25321–25349. 2 indexed citations
7.
Chakraborty, Shouvik & Kalyani Mali. (2022). Fuzzy and elitist cuckoo search based microscopic image segmentation approach. Applied Soft Computing. 130. 109671–109671. 5 indexed citations
8.
Chakraborty, Shouvik & Kalyani Mali. (2022). Fuzzy modified cuckoo search for biomedical image segmentation. Knowledge and Information Systems. 64(4). 1121–1160. 4 indexed citations
9.
Chakraborty, Shouvik & Kalyani Mali. (2022). A radiological image analysis framework for early screening of the COVID-19 infection: A computer vision-based approach. Applied Soft Computing. 119. 108528–108528. 7 indexed citations
10.
Chakraborty, Shouvik & Kalyani Mali. (2022). SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidation. Applied Soft Computing. 129. 109625–109625. 9 indexed citations
11.
Chakraborty, Shouvik & Kalyani Mali. (2021). A morphology-based radiological image segmentation approach for efficient screening of COVID-19. Biomedical Signal Processing and Control. 69. 102800–102800. 18 indexed citations
12.
Chakraborty, Shouvik & Kalyani Mali. (2021). SUFMACS: A machine learning-based robust image segmentation framework for COVID-19 radiological image interpretation. Expert Systems with Applications. 178. 115069–115069. 13 indexed citations
13.
Roy, Mousomi, Shouvik Chakraborty, & Kalyani Mali. (2021). The MSK: a simple and robust image encryption method. Multimedia Tools and Applications. 80(14). 21261–21291. 9 indexed citations
14.
Chakraborty, Shouvik & Kalyani Mali. (2020). Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentation. Applied Soft Computing. 97. 106800–106800. 22 indexed citations
15.
Chakraborty, Shouvik & Kalyani Mali. (2020). SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images. Expert Systems with Applications. 167. 114142–114142. 39 indexed citations
16.
17.
18.
Chakraborty, Shouvik, Sankhadeep Chatterjee, Nilanjan Dey, et al.. (2017). Modified cuckoo search algorithm in microscopic image segmentation of hippocampus. Microscopy Research and Technique. 80(10). 1051–1072. 63 indexed citations
19.
Chakraborty, Shouvik, et al.. (2016). A Novel Lossless Image Encryption Method using DNA Substitution and Chaotic Logistic Map. International Journal of Security and Its Applications. 10(2). 205–216. 27 indexed citations
20.
Hore, Sirshendu, Shouvik Chakraborty, Sankhadeep Chatterjee, et al.. (2016). An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding. International Journal of Electrical and Computer Engineering (IJECE). 6(6). 2773–2773. 60 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

Breakdown of academic impact, for papers by Abdul Majid Breakdown of academic impact, for papers by Yi‐Ta Wu Breakdown of academic impact, for papers by Jialin Chen Breakdown of academic impact, for papers by Peilin Zhong Breakdown of academic impact, for papers by Xiaofeng Qi Breakdown of academic impact, for papers by Yongsheng Dong Breakdown of academic impact, for papers by Min-Jen Tsai Breakdown of academic impact, for papers by Tetsushi Koide Breakdown of academic impact, for papers by Yijie Zhang Breakdown of academic impact, for papers by Badal Soni
Rankless by CCL
2026