G. Jeyakumar

670 citations
74 papers · 259 · h-index 9

Impact in

Papers in

G. Jeyakumar

60 papers receiving 241 citations

Peers

G. Jeyakumar
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 70
  • Artificial Intelligence 122
  • Computer Science Applications 14
  • Media Technology 19
  • Computer Vision and Pattern Recognition 39
Replace Gloria Cerasela Crişan with:
Gloria Cerasela Crişan Romania
Jonathan Lenchner United States
Ya Zhou China
Nadjet Kamel Algeria
Zhaoyang Yang China
Adis Alihodžić Bosnia and Herzegovina
Zhenping Xie China
Lorenzo Canese Italy
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Citations per field
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Citations per year

Countries citing papers authored by G. Jeyakumar

Since Specialization
Citations

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

Fields of papers citing papers by G. Jeyakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside G. Jeyakumar, 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 G. Jeyakumar Line = papers co-authored together G. Jeyakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201923
2 201919
3 201314
4 202014
5 201314
6 200913
7 201911
8 201611
9
Population diversity measurement methods to analyze the behavior of differential evolution algorithm
201610
10 20097
11
An Empirical Performance Analysis of Differential Evolution Variants on Unconstrained Global Optimization Problems
20106
12 20176
13 20236
14
Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method
20195
15 20235
16 20195
17 20174
18 20094
19
Empirical analysis on the population diversity of the sub-population in distributed differential evolution algorithm
20164
20 20174

About G. Jeyakumar

G. Jeyakumar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 74 papers that have together received 259 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), RFID technology advancements (4 papers), Context-Aware Activity Recognition Systems (4 papers), Neural Networks and Applications (3 papers), Scheduling and Optimization Algorithms (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (70 citations), Artificial Intelligence (122 citations), Computer Science Applications (14 citations), Media Technology (19 citations) and Computer Vision and Pattern Recognition (39 citations). G. Jeyakumar has collaborated with scholars based in India, Bangladesh and Taiwan. Frequent co-authors include C. Shunmuga Velayutham, Koushil Sreenath, Senthil Kumar Thangavel, N. Pavithra, Ashwin Rai, T. Senthil Kumar, Tzong‐Ru Lee, Saeed Ahmed, S. Balamurugan and S. A. Ahmed. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Indian Journal of Science and Technology, Expert Systems with Applications, Memetic Computing and Soft Computing.

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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