D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 55 Citations 18,780 220 World Ranking 2788 National Ranking 1481

Research.com Recognitions

Awards & Achievements

2015 - IEEE Fellow For contributions to immunological computation and bio-inspired cyber security

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Machine learning

Dipankar Dasgupta spends much of his time researching Artificial immune system, Artificial intelligence, Field, Machine learning and Anomaly detection. His Artificial immune system study combines topics from a wide range of disciplines, such as Artificial neural network, Immune system and Artificial life. The concepts of his Artificial intelligence study are interwoven with issues in Data mining and Pattern recognition.

His Machine learning study incorporates themes from Telecommunication computing, Relation and Pattern recognition. His Anomaly detection research integrates issues from Computer security, Computer virus and Constant false alarm rate. Dipankar Dasgupta interconnects Evolutionary algorithm and Software engineering in the investigation of issues within Evolutionary computation.

His most cited work include:

  • New Ideas In Optimization (1303 citations)
  • Artificial Immune Systems and Their Applications (923 citations)
  • Genetic and Evolutionary Computation - GECCO 2004 (887 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Artificial intelligence, Computer security, Artificial immune system, Machine learning and Data mining. In the subject of general Artificial intelligence, his work in Artificial neural network, Evolutionary computation and Evolutionary algorithm is often linked to Field, thereby combining diverse domains of study. The study incorporates disciplines such as Security information and event management and Cloud computing security in addition to Computer security.

The various areas that Dipankar Dasgupta examines in his Artificial immune system study include Anomaly detection, Computational intelligence, Immune system and Pattern recognition. In his research, Detector is intimately related to Algorithm, which falls under the overarching field of Anomaly detection. His Data mining research is multidisciplinary, relying on both Cluster analysis and Fuzzy logic.

He most often published in these fields:

  • Artificial intelligence (33.49%)
  • Computer security (22.79%)
  • Artificial immune system (21.86%)

What were the highlights of his more recent work (between 2014-2021)?

  • Computer security (22.79%)
  • Artificial intelligence (33.49%)
  • Authentication (5.58%)

In recent papers he was focusing on the following fields of study:

Computer security, Artificial intelligence, Authentication, Multi-factor authentication and Data mining are his primary areas of study. He works mostly in the field of Computer security, limiting it down to topics relating to Cloud computing and, in certain cases, Intrusion detection system. His Artificial intelligence research incorporates elements of Machine learning, Ransomware and Pattern recognition.

Dipankar Dasgupta conducted interdisciplinary study in his works that combined Machine learning and Field. His Multi-factor authentication study integrates concerns from other disciplines, such as Exploit and Distributed computing. His Data mining research includes themes of CURE data clustering algorithm, Determining the number of clusters in a data set, Local binary patterns, Entropy and Euclidean distance.

Between 2014 and 2021, his most popular works were:

  • Privacy and security issues in mobile health: Current research and future directions (31 citations)
  • A survey of blockchain from security perspective (28 citations)
  • Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications (27 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Machine learning

The scientist’s investigation covers issues in Distributed computing, Authentication, Multi-factor authentication, Computer security and Data mining. In his study, Dipankar Dasgupta carries out multidisciplinary Distributed computing and Field research. His work on Authentication protocol as part of general Authentication research is frequently linked to Single factor, thereby connecting diverse disciplines of science.

His Authentication protocol research incorporates themes from Computer access control and Selection. His work on Access control and Security system as part of general Computer security research is frequently linked to Risk analysis, Short paper and Insider threat, bridging the gap between disciplines. His studies deal with areas such as Exploit, Hacker and Code as well as Data mining.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Artificial Immune Systems and Their Applications

Dipankar Dasgupta.
(1998)

1710 Citations

An Overview of Artificial Immune Systems and Their Applications

Dipankar Dasgupta.
(1993)

1543 Citations

Genetic and Evolutionary Computation - GECCO 2004

K. Deb;R. Poli;W. Banzhaf;H-G. Beyer.
(2004)

1425 Citations

New Ideas In Optimization

David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta.
(1999)

1315 Citations

Evolutionary Algorithms in Engineering Applications

Zbigniew Michalewicz;D. Dasgupta.
(1997)

808 Citations

Advances in artificial immune systems

D. Dasgupta.
IEEE Computational Intelligence Magazine (2006)

675 Citations

An immunity-based technique to characterize intrusions in computer networks

D. Dasgupta;F. Gonzalez.
IEEE Transactions on Evolutionary Computation (2002)

570 Citations

A Survey of Game Theory as Applied to Network Security

Sankardas Roy;Charles Ellis;Sajjan Shiva;Dipankar Dasgupta.
hawaii international conference on system sciences (2010)

568 Citations

Anomaly Detection Using Real-Valued Negative Selection

Fabio A. González;Dipankar Dasgupta.
Genetic Programming and Evolvable Machines (2003)

485 Citations

Review Article: Recent Advances in Artificial Immune Systems: Models and Applications

Dipankar Dasgupta;Senhua Yu;Fernando Nino.
soft computing (2011)

471 Citations

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