Dipankar Dasgupta

11.7k total citations · 2 hit papers
133 papers, 6.3k citations indexed

About

Dipankar Dasgupta is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Dipankar Dasgupta has authored 133 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 45 papers in Biomedical Engineering and 37 papers in Computer Networks and Communications. Recurrent topics in Dipankar Dasgupta's work include Artificial Immune Systems Applications (44 papers), Network Security and Intrusion Detection (31 papers) and Advanced Malware Detection Techniques (23 papers). Dipankar Dasgupta is often cited by papers focused on Artificial Immune Systems Applications (44 papers), Network Security and Intrusion Detection (31 papers) and Advanced Malware Detection Techniques (23 papers). Dipankar Dasgupta collaborates with scholars based in United States, Colombia and United Kingdom. Dipankar Dasgupta's co-authors include Fabio A. González, Fernando Niño, Ji Zhou, Riccardo Poli, David Corne, Kenneth V. Price, Fred Glover, Marco Dorigo, Pablo Moscato and Senhua Yu and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Dipankar Dasgupta

128 papers receiving 5.8k citations

Hit Papers

New Ideas In Optimization 1999 2026 2008 2017 1999 1999 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. New Ideas In Optimization
    1999 1.3k citations Dipankar Dasgupta et al. profile →
  2. Artificial Immune Systems and Their Applications
    1999 680 citations Dipankar Dasgupta profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipankar Dasgupta United States 36 2.5k 2.5k 1.7k 948 803 133 6.3k
Leandro Nunes de Castro Brazil 26 2.5k 1.0× 2.8k 1.1× 487 0.3× 277 0.3× 365 0.5× 138 5.7k
Jon Timmis United Kingdom 35 1.8k 0.7× 3.3k 1.3× 665 0.4× 219 0.2× 201 0.3× 218 6.4k
Fernando J. Von Zuben Brazil 26 1.7k 0.7× 1.8k 0.7× 281 0.2× 214 0.2× 175 0.2× 230 4.3k
Fabio A. González Colombia 35 2.8k 1.1× 977 0.4× 491 0.3× 341 0.4× 404 0.5× 195 5.0k
Steven Hofmeyr United States 22 1.5k 0.6× 1.4k 0.6× 2.5k 1.5× 1.4k 1.4× 761 0.9× 52 3.8k
Zheng Yan China 52 4.1k 1.6× 433 0.2× 4.7k 2.8× 1.2k 1.3× 3.6k 4.5× 403 10.2k
Xian‐Sheng Hua China 55 4.3k 1.7× 770 0.3× 615 0.4× 1.1k 1.2× 972 1.2× 396 12.6k
Mauro Birattari Belgium 38 5.0k 2.0× 606 0.2× 2.9k 1.8× 316 0.3× 645 0.8× 178 11.3k
Hussein A. Abbass Australia 39 3.1k 1.2× 329 0.1× 528 0.3× 245 0.3× 403 0.5× 297 6.4k
Mario Vento Italy 33 1.7k 0.7× 199 0.1× 390 0.2× 989 1.0× 269 0.3× 185 5.1k

Countries citing papers authored by Dipankar Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Dasgupta. A scholar is included among the top collaborators of Dipankar Dasgupta 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 Dipankar Dasgupta. Dipankar Dasgupta 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.
Won, Myounggyu, et al.. (2024). A Cybersecurity Summer Camp for High School Students Using Autonomous R/C Cars. 1435–1441. 1 indexed citations
2.
Roy, Arunava & Dipankar Dasgupta. (2024). A Distributed Conditional Wasserstein Deep Convolutional Relativistic Loss Generative Adversarial Network With Improved Convergence. IEEE Transactions on Artificial Intelligence. 5(9). 4344–4353. 2 indexed citations
3.
4.
Roy, Arunava & Dipankar Dasgupta. (2023). A Novel Conditional Wasserstein Deep Convolutional Generative Adversarial Network. IEEE Transactions on Artificial Intelligence. 1–13. 8 indexed citations
5.
Ali, Mohd. Hasan, et al.. (2023). Artificial Intelligence and Machine Learning in Grid Connected Wind Turbine Control Systems: A Comprehensive Review. Energies. 16(3). 1530–1530. 32 indexed citations
6.
Dasgupta, Dipankar, et al.. (2021). Analysis of Crypto-Ransomware Using ML-Based Multi-Level Profiling. IEEE Access. 9. 122532–122547. 23 indexed citations
7.
Akhtar, Zahid & Dipankar Dasgupta. (2019). A Comparative Evaluation of Local Feature Descriptors for DeepFakes Detection. 1–5. 29 indexed citations
8.
Akhtar, Zahid, et al.. (2019). Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives. 649–656. 13 indexed citations
9.
Ali, Mohd. Hasan, et al.. (2018). Effects of Cyber-Attacks on the Energy Storage in a Hybrid Power System. 1–5. 10 indexed citations
10.
Dasgupta, Dipankar, et al.. (2017). Design and implementation of Negative Authentication System. International Journal of Information Security. 18(1). 23–48. 4 indexed citations
11.
Dasgupta, Dipankar, et al.. (2016). Security analysis on InfiniBand protocol implementations. 1–7.
12.
13.
Wu, Qishi, et al.. (2009). An integrated cyber security monitoring system using correlation-based techniques. 1–6. 11 indexed citations
14.
Dasgupta, Dipankar, et al.. (2008). Artificial immune systems: a bibliography. 3 indexed citations
15.
Dasgupta, Dipankar & Fabio A. González. (2001). Evolving complex fuzzy classifier rules using a linear tree genetic representation. Genetic and Evolutionary Computation Conference. 299–305. 7 indexed citations
16.
Dasgupta, Dipankar. (2000). An immune agent architecture for intrusion detection. Genetic and Evolutionary Computation Conference. 42–44. 4 indexed citations
17.
Tarakanov, Alexander O. & Dipankar Dasgupta. (2000). A formal model of an artificial immune system. Biosystems. 55(1-3). 151–158. 65 indexed citations
18.
Dasgupta, Dipankar, et al.. (1999). An Immunogenetic Approach to Spectra Recognition. Genetic and Evolutionary Computation Conference. 149–155. 22 indexed citations
19.
Zhang, Zhaohua, Stan Franklin, & Dipankar Dasgupta. (1998). Metacognition in software agents using classifier systems. National Conference on Artificial Intelligence. 83–88. 21 indexed citations
20.
Deshmane, Vinay, et al.. (1993). Tracheal tear during laryngopharyngectomy with gastric transposition. Journal of Surgical Oncology. 54(4). 219–222. 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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