Siddhartha Bhattacharyya

7.0k total citations · 2 hit papers
208 papers, 4.1k citations indexed

About

Siddhartha Bhattacharyya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Siddhartha Bhattacharyya has authored 208 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 72 papers in Computer Vision and Pattern Recognition and 36 papers in Media Technology. Recurrent topics in Siddhartha Bhattacharyya's work include Neural Networks and Applications (30 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Remote-Sensing Image Classification (18 papers). Siddhartha Bhattacharyya is often cited by papers focused on Neural Networks and Applications (30 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Remote-Sensing Image Classification (18 papers). Siddhartha Bhattacharyya collaborates with scholars based in India, United States and Czechia. Siddhartha Bhattacharyya's co-authors include J. Christopher Westland, Sanjeev Jha, Sandip Dey, Jan Platoš, Ujjwal Maulik, Aboul Ella Hassanien, Koyel Chakraborty, Rajib Bag, Paramartha Dutta and Debanjan Konar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marketing and Scientific Reports.

In The Last Decade

Siddhartha Bhattacharyya

199 papers receiving 3.9k citations

Hit Papers

Data mining for credit card fraud: A comparative study 2010 2026 2015 2020 2010 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddhartha Bhattacharyya India 33 2.0k 895 595 368 319 208 4.1k
Junjie Wu China 37 2.6k 1.3× 805 0.9× 912 1.5× 243 0.7× 291 0.9× 191 6.1k
Jing Liu China 45 3.2k 1.6× 887 1.0× 496 0.8× 197 0.5× 632 2.0× 369 6.9k
Jianping Li China 35 1.9k 0.9× 1.2k 1.3× 853 1.4× 185 0.5× 187 0.6× 366 5.2k
Theodoros Evgeniou France 30 2.5k 1.2× 1.5k 1.7× 197 0.3× 164 0.4× 193 0.6× 73 5.7k
Stan Matwin Canada 36 4.3k 2.1× 664 0.7× 1.3k 2.3× 106 0.3× 330 1.0× 263 6.8k
Charles X. Ling Canada 29 3.3k 1.6× 700 0.8× 1.2k 1.9× 99 0.3× 665 2.1× 131 5.7k
Miroslav Kubát United States 23 4.4k 2.1× 821 0.9× 1.0k 1.8× 133 0.4× 300 0.9× 97 6.5k
Zhili Zhou China 37 986 0.5× 1.7k 1.9× 566 1.0× 356 1.0× 125 0.4× 214 4.7k
Sung‐Bae Cho South Korea 36 2.4k 1.2× 1.8k 2.0× 486 0.8× 101 0.3× 209 0.7× 320 5.4k
Rudy Setiono Singapore 32 3.4k 1.7× 887 1.0× 998 1.7× 66 0.2× 843 2.6× 90 5.4k

Countries citing papers authored by Siddhartha Bhattacharyya

Since Specialization
Citations

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

Fields of papers citing papers by Siddhartha Bhattacharyya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddhartha Bhattacharyya

This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Bhattacharyya. A scholar is included among the top collaborators of Siddhartha Bhattacharyya 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 Siddhartha Bhattacharyya. Siddhartha Bhattacharyya 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.
Bhattacharyya, Siddhartha, et al.. (2025). ResQ: A hybrid classical-quantum model for efficient breast cancer image classification. Applied Soft Computing. 183. 113631–113631. 2 indexed citations
2.
Banerjee, Jyoti Sekhar, Siddhartha Bhattacharyya, Debashis De, et al.. (2025). Recent Trends in Engineering, Science and Technology.
3.
Chakraborty, Pritam, Anjan Bandyopadhyay, Siddhartha Bhattacharyya, & Jan Platoš. (2025). IndiVNet A region adaptive semantic image segmentation for autonomous driving in unstructured environments. Scientific Reports. 16(1). 2468–2468.
4.
Bhattacharyya, Siddhartha & Sudip Kumar Sarkar. (2024). An FRB Population Synthesis for SPOTLIGHT and Its Cosmological Inference.
5.
Bhattacharyya, Siddhartha, Debashis De, Sergey Gorbachev, & Debanjan Konar. (2023). Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. Applied Soft Computing. 151. 111156–111156.
6.
Bhattacharyya, Siddhartha, et al.. (2023). An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives. Electronics. 12(5). 1092–1092. 30 indexed citations
7.
Gorbachev, Sergey, et al.. (2022). Fuzzy Logic Approaches in the Task of Object Edge Detection. SHILAP Revista de lepidopterología. 21(2). 376–404. 9 indexed citations
8.
Ali, Zafar, Guilin Qi, Khan Muhammad, et al.. (2021). Citation recommendation employing heterogeneous bibliographic network embedding. Neural Computing and Applications. 34(13). 10229–10242. 18 indexed citations
9.
Konar, Debanjan, Bijaya Ketan Panigrahi, Siddhartha Bhattacharyya, Nilanjan Dey, & Richard Jiang. (2021). Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. IEEE Access. 9. 28716–28728. 44 indexed citations
10.
Khanna, Ashish, et al.. (2020). Quantum-Inspired Evolutionary Algorithms for Neural Network Weight Distribution: A Classification Model for Parkinson's Disease. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Khanna, Ashish, et al.. (2020). Quantum-Inspired Evolutionary Algorithms for Neural Network Weight Distribution. Journal of information and organizational sciences. 44(2). 345–363.
12.
Xu, Minghong & Siddhartha Bhattacharyya. (2018). Inferring Brand Knowledge from Online Consumer Associative Brand Networks.. National Conference on Artificial Intelligence. 113–121. 2 indexed citations
13.
Bhattacharyya, Siddhartha, et al.. (2015). Certification considerations for adaptive systems. NASA STI Repository (National Aeronautics and Space Administration). 270–279. 44 indexed citations
14.
Bhattacharyya, Siddhartha, Paramartha Dutta, & Susanta Chakraborty. (2015). Hybrid Soft Computing Approaches: Research and Applications. Springer eBooks. 2 indexed citations
15.
Bhattacharyya, Siddhartha, et al.. (2014). Development of an interactive anatomical three‐dimensional eye model. Anatomical Sciences Education. 8(3). 275–282. 35 indexed citations
16.
Alfaro, Iván, et al.. (2012). OPENING THE SOCIAL MEDIA BLACK BOX - A FEATURE-BASED APPROACH. Journal of the Association for Information Systems. 119. 2 indexed citations
17.
Bhattacharyya, Siddhartha. (2011). Confidence in Predictions from Random Tree Ensembles. 71–80. 11 indexed citations
18.
Bhattacharyya, Siddhartha, Ujjwal Maulik, & Paramartha Dutta. (2008). A Pruning Algorithm for Efficient Image Segmentation with Neighborhood Neural Networks. 35(2). 191–200. 2 indexed citations
19.
Bhattacharyya, Siddhartha & Marvin D. Troutt. (2000). Crossover in probability spaces. Genetic and Evolutionary Computation Conference. 120–127.
20.
Bhattacharyya, Siddhartha & Gary J. Kœhler. (1994). An Analysis of Non-Binary Genetic Algorithms with Cardinality 2 υ .. Complex Systems. 8. 15 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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