Subrata Datta

22 papers receiving 248 citations

Peers

Subrata Datta
Comparison fields: 5 of 81
  • Pharmacology 31
  • Complementary and alternative medicine 25
  • Computational Theory and Mathematics 42
  • Information Systems 59
  • Biochemistry 15
Replace Jignesh Prajapati with:
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Samir Patel India
Petr Škoda Czechia
Shilpa Sharma India
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Margarita Ishmuratova Kazakhstan
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Citations per field
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Citations per year

Countries citing papers authored by Subrata Datta

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Subrata Datta, 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 Subrata Datta Line = papers co-authored together Subrata Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200492
2 200441
3 196124
4 197618
5 200012
6
Isolation and structure elucidation of viscoazucine, a novel sesquiterpene from Polygonum viscosum.
200111
7 20219
8 20208
9 20158
10 20218
11 20207
12 20177
13 20157
14 19705
15
EFFICIENT GENETIC ALGORITHM ON LINEAR PROGRAMMING PROBLEM FOR FITTEST CHROMOSOMES
20124
16 20174
17 19763
18 20223
19 20073
20 20173

About Subrata Datta

Subrata Datta is a scholar working on Information Systems, Computational Theory and Mathematics, Artificial Intelligence, Organic Chemistry and Polymers and Plastics, having authored 24 papers that have together received 279 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (11 papers), Imbalanced Data Classification Techniques (8 papers), Synthesis and properties of polymers (3 papers), Phytochemistry and biological activity of medicinal plants (3 papers), Synthesis and Reactions of Organic Compounds (3 papers), Data Management and Algorithms (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Pharmacology (31 citations), Complementary and alternative medicine (25 citations), Computational Theory and Mathematics (42 citations), Information Systems (59 citations) and Biochemistry (15 citations). Subrata Datta has collaborated with scholars based in India, Bangladesh and United Kingdom. Frequent co-authors include Kalyani Mali, Mitali Chattopadhyay, Malay Chatterjee, Prabir K. Chakraborty, Badal Kumar Datta, Mohammad A Rashid, J. K. Kundu, M. CHOWDHURY, K. T. POTTS and Tajdar Husain Khan. Their work appears in journals such as Arabian Journal for Science and Engineering, Tetrahedron, Journal of Ambient Intelligence and Humanized Computing, European Journal of Cancer Prevention and Fitoterapia.

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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