Jayanta Kumar Das

1.7k citations
65 papers · 1.1k · h-index 17

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Neural Networks and Applications
    • Fuzzy Logic and Control Systems

Papers in

Jayanta Kumar Das

59 papers receiving 1.0k citations

Peers

Jayanta Kumar Das
Comparison fields: 5 of 143
  • Artificial Intelligence 383
  • Aging 13
  • Computational Theory and Mathematics 102
  • Atmospheric Science 109
  • Computer Vision and Pattern Recognition 102
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Fethi Jarray Tunisia
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Citations per field
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Citations per year

Countries citing papers authored by Jayanta Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Jayanta Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayanta Kumar Das. 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 Jayanta Kumar Das. The network helps show where Jayanta Kumar Das may publish in the future.

Co-authors

The 25 scholars most cited alongside Jayanta Kumar Das, 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 Jayanta Kumar Das Line = papers co-authored together Jayanta Kumar Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006249
2 2004122
3 200356
4 200846
5 199938
6 200737
7 202336
8 200636
9 200635
10 202032
11 200026
12 202121
13 198321
14
Diphenylmethyl selenocyanate attenuates malachite green induced oxidative injury through antioxidation & inhibition of DNA damage in mice.
201321
15 202020
16
LINEAR: towards a breakthrough of smart grids in Flanders
201018
17 202116
18 202116
19 201715
20 201415

About Jayanta Kumar Das

Jayanta Kumar Das is a scholar working on Molecular Biology, Artificial Intelligence, Atmospheric Science, Electrical and Electronic Engineering and Environmental Engineering, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (8 papers), Meteorological Phenomena and Simulations (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Microgrid Control and Optimization (4 papers), Machine Learning in Bioinformatics (4 papers), Soil Moisture and Remote Sensing (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Artificial Intelligence (383 citations), Aging (13 citations), Computational Theory and Mathematics (102 citations), Atmospheric Science (109 citations) and Computer Vision and Pattern Recognition (102 citations). Jayanta Kumar Das has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Nikhil R. Pal, Durga Prasad Muni, Swarup Roy, Srinivasan M. Sivakumar, Ashish Ghosh, Pabitra Pal Choudhury, Kausik Majumdar, Sankar K. Pal, Pietro Hiram Guzzi and D. Lohar. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, PLoS ONE, Microsystem Technologies, Genomics and Scientific Reports.

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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