Avra Kundu

875 total citations
59 papers, 690 citations indexed

About

Avra Kundu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Avra Kundu has authored 59 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 30 papers in Electrical and Electronic Engineering and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Avra Kundu's work include Neuroscience and Neural Engineering (18 papers), Thin-Film Transistor Technologies (16 papers) and 3D Printing in Biomedical Research (12 papers). Avra Kundu is often cited by papers focused on Neuroscience and Neural Engineering (18 papers), Thin-Film Transistor Technologies (16 papers) and 3D Printing in Biomedical Research (12 papers). Avra Kundu collaborates with scholars based in India, United States and Russia. Avra Kundu's co-authors include Swaminathan Rajaraman, Hiranmay Saha, Sonali Das, Swapan K. Datta, Sonali Das, S. K. Ghosh, Raju Nandi, N.K. Tewary, J. K. Saha and Bhaskar Gupta and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Physical Chemistry Chemical Physics.

In The Last Decade

Avra Kundu

56 papers receiving 656 citations

Peers

Avra Kundu
Comparison fields: 5 of 70
  • Biomedical Engineering 395
  • Electrical and Electronic Engineering 265
  • Cellular and Molecular Neuroscience 166
  • Materials Chemistry 166
  • Automotive Engineering 71
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Helin Zou China
Timothy G. Leong United States
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Antonino A. La Mattina Italy
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Soon Hyoung Hwang South Korea
Svetlana Zakharchenko Germany
Chunshan Hu United States
Helin Zou China View profile →
Citations per field, relative to Avra Kundu
Avra Kundu · 1×
Citations per year, relative to Avra Kundu
Avra Kundu · 1×

Countries citing papers authored by Avra Kundu

Since Specialization
Citations

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

Fields of papers citing papers by Avra Kundu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avra Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Avra Kundu. A scholar is included among the top collaborators of Avra Kundu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avra Kundu. Avra Kundu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 35
2 2
3 1
4 4
5 5
6 8
7 4
8 42
9 33
10 36
11 8
12 32
13 21
14 24
15 10
16 14
17 2
18 1
19 30
20 5

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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