H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 91 Citations 34,401 842 World Ranking 245 National Ranking 146

Research.com Recognitions

Awards & Achievements

2012 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Operating system

Artificial intelligence, Mathematical optimization, Machine learning, Particle swarm optimization and Intrusion detection system are his primary areas of study. The various areas that Ajith Abraham examines in his Artificial intelligence study include Tree and Data mining. His study in Machine learning is interdisciplinary in nature, drawing from both Fuzzy set, Web mining, Process and Personalization.

His work carried out in the field of Particle swarm optimization brings together such families of science as Fuzzy logic, Genetic algorithm and Control theory. His Intrusion detection system study combines topics in areas such as Decision tree, Soft computing, Network security and Support vector machine. His Evolutionary algorithm research is multidisciplinary, incorporating perspectives in Evolutionary computation and Benchmark.

His most cited work include:

  • Differential Evolution Using a Neighborhood-Based Mutation Operator (885 citations)
  • Automatic Clustering Using an Improved Differential Evolution Algorithm (550 citations)
  • Feature deduction and ensemble design of intrusion detection systems (514 citations)

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

Ajith Abraham mainly focuses on Artificial intelligence, Mathematical optimization, Machine learning, Artificial neural network and Particle swarm optimization. Ajith Abraham interconnects Data mining and Pattern recognition in the investigation of issues within Artificial intelligence. His biological study spans a wide range of topics, including Support vector machine, Feature selection and Cluster analysis.

His Mathematical optimization study frequently links to related topics such as Algorithm. His Machine learning research includes elements of Neuro-fuzzy and Fuzzy logic. His studies in Particle swarm optimization integrate themes in fields like Genetic algorithm and Swarm behaviour.

He most often published in these fields:

  • Artificial intelligence (34.83%)
  • Mathematical optimization (18.33%)
  • Machine learning (16.25%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (34.83%)
  • Algorithm (11.17%)
  • Pattern recognition (7.00%)

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

His scientific interests lie mostly in Artificial intelligence, Algorithm, Pattern recognition, Artificial neural network and Cluster analysis. Artificial intelligence and Machine learning are frequently intertwined in his study. Ajith Abraham does research in Machine learning, focusing on Evolutionary algorithm specifically.

His Algorithm research includes themes of Histogram, Swarm behaviour and Benchmark. His Pattern recognition research incorporates elements of Image quality, Image and Thresholding. Optimization problem is a subfield of Mathematical optimization that he studies.

Between 2016 and 2021, his most popular works were:

  • Metaheuristic design of feedforward neural networks (182 citations)
  • Industry 4.0: A bibliometric analysis and detailed overview (124 citations)
  • A survey on region based image fusion methods (52 citations)

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

  • Artificial intelligence
  • Machine learning
  • Operating system

His primary scientific interests are in Artificial intelligence, Algorithm, Pattern recognition, Artificial neural network and Benchmark. His research in Artificial intelligence intersects with topics in Machine learning and Interval. Ajith Abraham interconnects Classifier, Pareto principle and Data mining in the investigation of issues within Machine learning.

He has researched Algorithm in several fields, including Histogram, Swarm behaviour and Thresholding. His Artificial neural network study combines topics in areas such as Deep learning, CUDA and k-nearest neighbors algorithm. He combines subjects such as Value, Mathematical optimization, Search algorithm and Finite impulse response with his study of Benchmark.

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

Differential Evolution Using a Neighborhood-Based Mutation Operator

S. Das;A. Abraham;U.K. Chakraborty;A. Konar.
IEEE Transactions on Evolutionary Computation (2009)

1104 Citations

Automatic Clustering Using an Improved Differential Evolution Algorithm

S. Das;A. Abraham;A. Konar.
systems man and cybernetics (2008)

748 Citations

Feature deduction and ensemble design of intrusion detection systems

Srilatha Chebrolu;Ajith Abraham;Johnson P. Thomas.
Computers & Security (2005)

734 Citations

Evolutionary Multiobjective Optimization

Ajith Abraham;Lakhmi C. Jain.
Evolutionary Multiobjective Optimization (2005)

622 Citations

A hybrid genetic algorithm and bacterial foraging approach for global optimization

Dong Hwa Kim;Ajith Abraham;Jae Hoon Cho.
Information Sciences (2007)

584 Citations

Nature's heuristics for scheduling jobs on Computational Grids

Ajith Abraham;Rajkumar Buyya;Baikunth Nath.
international conference on advanced computing (2000)

537 Citations

Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives

Swagatam Das;Ajith Abraham;Amit Konar.
Advances of Computational Intelligence in Industrial Systems (2008)

524 Citations

Modeling intrusion detection system using hybrid intelligent systems

Sandhya Peddabachigari;Ajith Abraham;Crina Grosan;Johnson Thomas.
Journal of Network and Computer Applications (2007)

500 Citations

Intrusion detection using an ensemble of intelligent paradigms

Srinivas Mukkamala;Andrew H. Sung;Ajith Abraham.
Journal of Network and Computer Applications (2005)

460 Citations

Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications

Swagatam Das;Arijit Biswas;Sambarta Dasgupta;Ajith Abraham.
foundations of computational intelligence (2009)

453 Citations

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Best Scientists Citing Ajith Abraham

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