Amit Konar

11.0k total citations · 2 hit papers
366 papers, 6.9k citations indexed

About

Amit Konar is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Konar has authored 366 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Artificial Intelligence, 124 papers in Cognitive Neuroscience and 87 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Konar's work include EEG and Brain-Computer Interfaces (106 papers), Metaheuristic Optimization Algorithms Research (56 papers) and Evolutionary Algorithms and Applications (45 papers). Amit Konar is often cited by papers focused on EEG and Brain-Computer Interfaces (106 papers), Metaheuristic Optimization Algorithms Research (56 papers) and Evolutionary Algorithms and Applications (45 papers). Amit Konar collaborates with scholars based in India, United Kingdom and United States. Amit Konar's 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 and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and IEEE Access.

In The Last Decade

Amit Konar

344 papers receiving 6.5k citations

Hit Papers

Differential Evolution Using a Neighborhood-Based Mutatio... 2007 2026 2013 2019 2009 2007 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential Evolution Using a Neighborhood-Based Mutation Operator
    2009 919 citations Amit Konar et al. profile →
  2. Automatic Clustering Using an Improved Differential Evolution Algorithm
    2007 561 citations Amit Konar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Konar India 40 3.5k 1.5k 1.3k 1.2k 926 366 6.9k
Frank Hutter Germany 39 5.0k 1.4× 1.3k 0.9× 1.4k 1.0× 2.2k 1.8× 418 0.5× 109 10.1k
Dongrui Wu China 55 5.0k 1.4× 943 0.6× 772 0.6× 2.6k 2.2× 1.6k 1.7× 256 10.4k
Chai Quek Singapore 42 2.4k 0.7× 359 0.2× 908 0.7× 1.1k 0.9× 664 0.7× 246 6.3k
Nianyin Zeng China 43 3.0k 0.9× 431 0.3× 2.6k 1.9× 742 0.6× 1.1k 1.1× 142 9.5k
Hussein A. Abbass Australia 39 3.1k 0.9× 1.6k 1.1× 609 0.5× 523 0.4× 567 0.6× 297 6.4k
Emil M. Petriu Canada 46 1.9k 0.5× 583 0.4× 1.8k 1.3× 527 0.4× 3.1k 3.4× 508 8.2k
Satinder Singh United States 40 7.5k 2.1× 1.4k 1.0× 1.3k 1.0× 754 0.6× 1.8k 1.9× 150 11.2k
Atulya K. Nagar United Kingdom 27 1.4k 0.4× 527 0.4× 691 0.5× 437 0.4× 421 0.5× 338 3.7k
Suresh Sundaram Singapore 41 2.9k 0.8× 488 0.3× 1.8k 1.4× 739 0.6× 828 0.9× 307 6.4k
Kenneth O. Stanley United States 41 6.5k 1.9× 743 0.5× 1.4k 1.1× 546 0.5× 646 0.7× 138 8.6k

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 of co-authors of Amit Konar

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Konar. A scholar is included among the top collaborators of Amit Konar 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 Amit Konar. Amit Konar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Konar, Amit, et al.. (2024). Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network. Applied Soft Computing. 161. 111769–111769. 2 indexed citations
2.
Nandi, Apurba, et al.. (2024). Cluster Shape Detection Using Dual Attention Induced Convolutional-Clustering Algorithm. 1–6. 1 indexed citations
3.
Konar, Amit, et al.. (2024). Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification. Computers in Biology and Medicine. 183. 109260–109260. 1 indexed citations
4.
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Konar, Amit, et al.. (2021). Fuzzy vector quantization with a step-optimizer to improve pattern classification. Expert Systems with Applications. 188. 115941–115941. 3 indexed citations
6.
Konar, Amit, et al.. (2020). Finger-Induced Motor Imagery Classification from Hemodynamic Response Using Type-2 Fuzzy Sets. 185–197. 1 indexed citations
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8.
Konar, Amit, et al.. (2020). Brain-Computer Interface based User Authentication System for Personal Device Security. 1–6. 7 indexed citations
9.
Pramanick, Shraman, et al.. (2019). Decoding of Brain Signals to Detect Perceived Color-Stimuli using Convolutional Neural Network. 425–429. 1 indexed citations
10.
11.
Konar, Amit, et al.. (2018). Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(3). 245–260. 13 indexed citations
12.
13.
Bhattacharyya, Saugat, Amit Konar, D. N. Tibarewala, Anwesha Khasnobish, & R. Janarthanan. (2014). Performance analysis of ensemble methods for multi-class classification of motor imagery EEG signal. Ulster University Research Portal (Ulster University). 712–716. 14 indexed citations
14.
Chakraborty, Aruna & Amit Konar. (2008). Emotional Intelligence: A Cybernetic Approach (Studies in Computational Intelligence). Springer eBooks. 5 indexed citations
15.
Sen, Shreyas, Seetharam Narasimhan, & Amit Konar. (2007). Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning. Engineering letters. 14. 61–66. 17 indexed citations
16.
Patnaik, Srikanta, Lakhmi C. Jain, Spyros G. Tzafestaş, Germano Resconi, & Amit Konar. (2006). Innovations in Robot Mobility and Control (Studies in Computational Intelligence). Springer eBooks. 1 indexed citations
17.
Bhattacharya, Alakananda, et al.. (2006). Parallel and Distributed Logic Programming: Towards the Design of a Framework for the Next Generation Database Machines (Studies in Computational Intelligence). Springer eBooks.
18.
Konar, Amit & Lakhmi C. Jain. (2005). Cognitive Engineering: A Distributed Approach to Machine Intelligence (Advanced Information and Knowledge Processing). Springer eBooks. 2 indexed citations
19.
Konar, Amit. (2005). Computational intellingence [i.e. intelligence] : principles, techniques and applications. Springer eBooks. 1 indexed citations
20.
Konar, Amit, et al.. (2004). A Fuzzy Based Dynamic Routing Algorithm: A Q-Learning Intelligent Clonal Selection Approach with SPDE Pareto.. 396–399. 2 indexed citations

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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