Kunal Datta

1.7k citations
53 papers · 1.3k · h-index 19

Impact in

Papers in

Kunal Datta

49 papers receiving 1.2k citations

Peers

Kunal Datta
Comparison fields: 5 of 48
  • Polymers and Plastics 647
  • Bioengineering 190
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 522
  • Electrochemistry 44
Replace Y.G. Gudage with:
Y.G. Gudage India
Mohamed S. A. Abdou Canada
Y. Yang China
Clarissa de Almeida Olivati Brazil
Nicha Chartuprayoon United States
Arif Kösemen Türkiye
R. Kiebooms Belgium
A. Geri Italy
Rogério Valaski Brazil
Seba Sara Varghese United Arab Emirates
Kunal Datta relative to Y.G. Gudage India Y.G. Gudage's profile →
Citations per field
00.5×10×15×18.9×
Y.G. Gudage · 1×
Citations per year

Countries citing papers authored by Kunal Datta

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunal 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 Kunal Datta Line = papers co-authored together Kunal 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 2021177
2 2019150
3 2007119
4 202167
5 202263
6 202059
7 202050
8 202247
9 202447
10 202145
11 201441
12 202335
13 202231
14 201231
15 202130
16 202329
17 200724
18 201022
19 201319
20 202216

About Kunal Datta

Kunal Datta is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Bioengineering, Materials Chemistry and Electrochemistry, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (33 papers), Conducting polymers and applications (21 papers), Analytical Chemistry and Sensors (17 papers), Chalcogenide Semiconductor Thin Films (14 papers), Quantum Dots Synthesis And Properties (9 papers), Electrochemical sensors and biosensors (8 papers), Organic Electronics and Photovoltaics (7 papers) and Solid-state spectroscopy and crystallography (5 papers). The work is most often cited by research in Polymers and Plastics (647 citations), Bioengineering (190 citations), Electrical and Electronic Engineering (1.1k citations), Materials Chemistry (522 citations) and Electrochemistry (44 citations). Kunal Datta has collaborated with scholars based in Netherlands, United States and India. Frequent co-authors include René A. J. Janssen, Martijn M. Wienk, Junke Wang, Mahendra D. Shirsat, P. Ghosh, Tom P. A. van der Pol, Christ H. L. Weijtens, P. A. Savale, Ashok Mulchandani and Dong Zhang. Their work appears in journals such as Nature Communications, Advanced Materials, ACS Applied Materials & Interfaces, Advanced Energy Materials and Solar RRL.

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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