Pranayee Datta

534 citations
53 papers · 452 · h-index 11

Impact in

Papers in

    • Chalcogenide Semiconductor Thin Films 14
    • Advanced Memory and Neural Computing 7
    • Advanced Fiber Optic Sensors 4
    • Quantum Dots Synthesis And Properties 16
    • ZnO doping and properties 7
    • Copper-based nanomaterials and applications 4

Pranayee Datta

45 papers receiving 437 citations

Peers

Pranayee Datta
Comparison fields: 5 of 64
  • Bioengineering 52
  • Analytical Chemistry 73
  • Electrochemistry 36
  • Electrical and Electronic Engineering 207
  • Materials Chemistry 166
Replace Yuxi Guo with:
Yuxi Guo China
Shoushan Wang China
Cihat Taşaltın Türkiye
Elif Türker Acar Türkiye
Junbiao Peng China
Nazanin Mosleh Iran
Stephanie Hui Kit Yap Singapore
Sajjad Hussain Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Pranayee Datta

Since Specialization
Citations

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

Fields of papers citing papers by Pranayee Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996104
2 200847
3 200831
4 201626
5 201726
6 201023
7 201317
8 201614
9 201511
10 202211
11 201810
12 201210
13 20099
14 20138
15 20128
16 20217
17 20186
18 20176
19 20166
20 20176

About Pranayee Datta

Pranayee Datta is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Molecular Biology, having authored 53 papers that have together received 452 indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (16 papers), Chalcogenide Semiconductor Thin Films (14 papers), Conducting polymers and applications (8 papers), Advanced Memory and Neural Computing (7 papers), ZnO doping and properties (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Advanced Fiber Optic Sensors (4 papers) and Copper-based nanomaterials and applications (4 papers). The work is most often cited by research in Bioengineering (52 citations), Analytical Chemistry (73 citations), Electrochemistry (36 citations), Electrical and Electronic Engineering (207 citations) and Materials Chemistry (166 citations). Pranayee Datta has collaborated with scholars based in India, United Kingdom and South Africa. Frequent co-authors include Mitali Sarkar, Anirban Sarkar, Pabitra Nath, Sweety Sarma, Hirendra Das, Hidam Kumarjit Singh, P. K. Kalita, Dilip Saikia, Neelotpal Sen Sarma and Sudesna Chakravarty. Their work appears in journals such as Materials Research Express, Journal of Materials Science Materials in Electronics, Journal of Electronic Materials, Journal of Dispersion Science and Technology and Journal of Luminescence.

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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