Dipankar Dasgupta
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 0.5%
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.5%
- Information Systems top 0.5%
- Co-authors
- Fabio A. GonzálezFernando NiñoJi ZhouRiccardo PoliDavid CorneKenneth V. PriceFred GloverMarco Dorigo
- Topics
- Artificial Immune Systems Applications (44 papers)Network Security and Intrusion Detection (31 papers)Advanced Malware Detection Techniques (23 papers)
- Partner nations
- United StatesColombiaUnited Kingdom
In The Last Decade
Dipankar Dasgupta
128 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 2.5k
- Biomedical Engineering 2.5k
- Computer Networks and Communications 1.7k
- Signal Processing 948
- Information Systems 803
Countries citing papers authored by Dipankar Dasgupta
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 32 | |
| 6 | 23 | |
| 7 | 29 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | An integrated cyber security monitoring system using correlation-based techniques | 11 |
| 14 | Artificial immune systems: a bibliography | 3 |
| 15 | Evolving complex fuzzy classifier rules using a linear tree genetic representation | 7 |
| 16 | An immune agent architecture for intrusion detection | 4 |
| 17 | 65 | |
| 18 | An Immunogenetic Approach to Spectra Recognition | 22 |
| 19 | Metacognition in software agents using classifier systems | 21 |
| 20 | 2 |
About Dipankar Dasgupta
Dipankar Dasgupta is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 133 papers that have together received 6.3k indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (44 papers), Network Security and Intrusion Detection (31 papers) and Advanced Malware Detection Techniques (23 papers). The work is most often cited by research in Signal Processing (948 citations), Artificial Intelligence (2.5k citations) and Computer Networks and Communications (1.7k citations). Dipankar Dasgupta has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.