Amit Konar

11.0k citations
366 papers · 6.9k indexed · 2 hit papers · h-index 40

Amit Konar

344 papers receiving 6.5k citations

Hit Papers

Differential Evolution Using a Neighborhood-Based Mutatio...9192007202620132019250500750

Peers

Amit Konar
Comparison fields: 5 of 165
  • Artificial Intelligence 3.5k
  • Computational Theory and Mathematics 1.5k
  • Human-Computer Interaction 503
  • Computer Vision and Pattern Recognition 1.3k
  • Cognitive Neuroscience 1.2k
Replace Frank Hutter with:
Frank Hutter Germany
Dongrui Wu China
Chai Quek Singapore
Nianyin Zeng China
Hussein A. Abbass Australia
Jost Tobias Springenberg Germany
Atulya K. Nagar United Kingdom
Adel M. Alimi Tunisia
Emil M. Petriu Canada
Christopher G. Atkeson United States
Amit Konar relative to Frank Hutter Germany Frank Hutter's profile →
Citations per field
00.5×1.5×2.3×
Frank Hutter · 1×
Citations per year

Countries citing papers authored by Amit Konar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Konar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amit Konar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Konar Line = papers co-authored together Amit Konar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20219
5 202110
6 20213
7 202015
8 20207
9 20209
10 20202
11 20200
12 20198
13 201813
14 20178
15 20165
16 20166
17 201414
18
An Intelligent Lossless Data Compressor Implementation using Reconfigurable Hardware.
20112
19 200916
20
A Fuzzy Based Dynamic Routing Algorithm: A Q-Learning Intelligent Clonal Selection Approach with SPDE Pareto.
20042

About Amit Konar

Amit Konar is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Artificial Intelligence, having authored 366 papers that have together received 6.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (106 papers), Metaheuristic Optimization Algorithms Research (56 papers), Evolutionary Algorithms and Applications (45 papers), Neural Networks and Applications (44 papers), Fuzzy Logic and Control Systems (37 papers), Hand Gesture Recognition Systems (32 papers), Blind Source Separation Techniques (28 papers) and Gaze Tracking and Assistive Technology (28 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computational Theory and Mathematics (1.5k citations) and Human-Computer Interaction (503 citations). Amit Konar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Swagatam Das, Ajith Abraham, Uday K. Chakraborty, Atulya K. Nagar, Pratyusha Rakshit, Saugat Bhattacharyya, D. N. Tibarewala, R. Janarthanan, Lakhmi C. Jain and Aruna Chakraborty. Their work appears in journals such as Applied Soft Computing, Biomedical Signal Processing and Control, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Robotics and Autonomous Systems.

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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