Pabitra Kumar Paul

1.2k total citations
52 papers, 962 citations indexed

About

Pabitra Kumar Paul is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Pabitra Kumar Paul has authored 52 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 15 papers in Molecular Biology. Recurrent topics in Pabitra Kumar Paul's work include Advanced Memory and Neural Computing (7 papers), Polymer Surface Interaction Studies (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Pabitra Kumar Paul is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Polymer Surface Interaction Studies (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Pabitra Kumar Paul collaborates with scholars based in India, United Kingdom and United States. Pabitra Kumar Paul's co-authors include Syed Arshad Hussain, Debotosh Bhattacharjee, Jnanranjan Panda, Bharati Tudu, Ratan Sarkar, Abhishek Dhar, Subhasis Roy, Rohit L. Vekariya, Talib E. Butt and Dibyendu Dey and has published in prestigious journals such as The Science of The Total Environment, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Pabitra Kumar Paul

51 papers receiving 935 citations

Peers

Pabitra Kumar Paul
Comparison fields: 5 of 106
  • Materials Chemistry 407
  • Electrical and Electronic Engineering 273
  • Renewable Energy, Sustainability and the Environment 183
  • Molecular Biology 135
  • Organic Chemistry 129
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Citations per field, relative to Pabitra Kumar Paul
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Citations per year, relative to Pabitra Kumar Paul
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Countries citing papers authored by Pabitra Kumar Paul

Since Specialization
Citations

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

Fields of papers citing papers by Pabitra Kumar Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pabitra Kumar Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Pabitra Kumar Paul. A scholar is included among the top collaborators of Pabitra Kumar Paul 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 Pabitra Kumar Paul. Pabitra Kumar Paul 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 6
2 9
3 4
4 22
5 24
6 1
7 9
8 3
9 6
10 24
11 8
12 24
13 20
14 40
15 3
16 20
17
Layer-by-Layer Electrostatic Self-assembly Method: A Facile Approach of Preparing Nanoscale Molecular Thin Films
2
18 2
19 8
20 12

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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