Monojit Chakraborty

1.1k total citations
45 papers, 711 citations indexed

About

Monojit Chakraborty is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Monojit Chakraborty has authored 45 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 11 papers in Computational Mechanics. Recurrent topics in Monojit Chakraborty's work include Surface Modification and Superhydrophobicity (11 papers), Electrowetting and Microfluidic Technologies (9 papers) and Fluid Dynamics and Thin Films (7 papers). Monojit Chakraborty is often cited by papers focused on Surface Modification and Superhydrophobicity (11 papers), Electrowetting and Microfluidic Technologies (9 papers) and Fluid Dynamics and Thin Films (7 papers). Monojit Chakraborty collaborates with scholars based in India, United States and Switzerland. Monojit Chakraborty's co-authors include Sunando DasGupta, C. Sharma, Prabhat K. Gupta, Jitendra Kumar Pandey, Suman Chakraborty, Jitendra Pandey, Nahar Singh, Justin A. Weibel, Suresh V. Garimella and James A. Schaber and has published in prestigious journals such as Applied Physics Letters, Langmuir and Scientific Reports.

In The Last Decade

Monojit Chakraborty

42 papers receiving 692 citations

Peers

Monojit Chakraborty
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 194
  • Biomedical Engineering 190
  • Industrial and Manufacturing Engineering 138
  • Surfaces, Coatings and Films 122
  • Computational Mechanics 105
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Christophe L. Trabi United Kingdom
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Citations per field, relative to Monojit Chakraborty
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Citations per year, relative to Monojit Chakraborty
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Countries citing papers authored by Monojit Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Monojit Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monojit Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Monojit Chakraborty. A scholar is included among the top collaborators of Monojit Chakraborty 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 Monojit Chakraborty. Monojit Chakraborty 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 1
2 1
3 0
4 5
5 10
6 12
7 15
8 2
9 0
10 96
11 1
12 2
13 11
14 14
15 13
16 17
17 15
18 21
19 2
20
Azotobacter and Azospirillum in integrated nutrient management of hybrid cotton.
3

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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