H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 9,117 305 World Ranking 5534 National Ranking 43

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Amit Konar mainly investigates Artificial intelligence, Mathematical optimization, Differential evolution, Particle swarm optimization and Pattern recognition. Amit Konar interconnects Algorithm and Machine learning in the investigation of issues within Artificial intelligence. His Mathematical optimization research incorporates elements of Convergence and Motion planning.

His Differential evolution research integrates issues from Memetic algorithm and Metaheuristic. His Particle swarm optimization research is multidisciplinary, incorporating elements of Genetic algorithm and Control theory. His work carried out in the field of Pattern recognition brings together such families of science as Determining the number of clusters in a data set, Speech recognition, Facial expression and Facial recognition system.

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)
  • Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives (341 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Fuzzy logic, Mathematical optimization and Computer vision. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Electroencephalography. The Pattern recognition study combines topics in areas such as Facial expression and Cluster analysis.

His study on Mathematical optimization is mostly dedicated to connecting different topics, such as Algorithm. His research in Computer vision intersects with topics in Robot and Mobile robot. He has researched Particle swarm optimization in several fields, including Genetic algorithm, Metaheuristic and Control theory.

He most often published in these fields:

  • Artificial intelligence (56.78%)
  • Pattern recognition (28.10%)
  • Fuzzy logic (17.25%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (56.78%)
  • Pattern recognition (28.10%)
  • Electroencephalography (10.66%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Electroencephalography, Fuzzy set and Feature extraction. The concepts of his Artificial intelligence study are interwoven with issues in Cognition and Computer vision. Amit Konar combines subjects such as Feature, Pixel, Object, Visual perception and Set with his study of Pattern recognition.

His Electroencephalography research includes themes of Color vision, Perception, Artificial neural network, Stimulus and Signal processing. His Fuzzy set research includes elements of Statistical hypothesis testing, Cognitive load, Task analysis, Interval and Optimization problem. His Feature extraction study incorporates themes from Frontal lobe, Principal component analysis and Artificial bee colony algorithm.

Between 2017 and 2021, his most popular works were:

  • Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning (25 citations)
  • Learning regularity in an economic time-series for structure prediction (9 citations)
  • Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets (7 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of investigation include Artificial intelligence, Pattern recognition, Fuzzy set, Fuzzy logic and Electroencephalography. His Artificial intelligence study integrates concerns from other disciplines, such as Cognition and Task analysis. His work in the fields of Classifier overlaps with other areas such as Upper body.

His research integrates issues of Motor imagery and Feature in his study of Fuzzy set. His work deals with themes such as Statistical hypothesis testing, Machine learning, Stereo camera and Connected component, which intersect with Fuzzy logic. His research in Benchmark focuses on subjects like Robotic arm, which are connected to Mathematical optimization.

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.

Top 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

Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain

Amit Konar.
(1999)

622 Citations

Computational Intelligence: Principles, Techniques and Applications

Amit Konar.
(2005)

597 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

Two improved differential evolution schemes for faster global search

Swagatam Das;Amit Konar;Uday K. Chakraborty.
genetic and evolutionary computation conference (2005)

418 Citations

Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm

Swagatam Das;Ajith Abraham;Amit Konar.
Pattern Recognition Letters (2008)

209 Citations

Automatic image pixel clustering with an improved differential evolution

Swagatam Das;Amit Konar.
soft computing (2009)

205 Citations

Metaheuristic Clustering

Swagatam Das;Ajith Abraham;Amit Konar.
(2009)

155 Citations

A Deterministic Improved Q-Learning for Path Planning of a Mobile Robot

Amit Konar;Indrani Goswami Chakraborty;Sapam Jitu Singh;Lakhmi C. Jain.
systems man and cybernetics (2013)

149 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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