Prosenjit Bagchi

3.7k citations
63 papers · 3.0k · h-index 32

Impact in

Papers in

Prosenjit Bagchi

61 papers receiving 2.9k citations

Peers

Prosenjit Bagchi
Comparison fields: 5 of 105
  • Fluid Flow and Transfer Processes 852
  • Computational Mechanics 1.4k
  • Pulmonary and Respiratory Medicine 1.6k
  • Hematology 412
  • Ocean Engineering 550
Replace Harry L. Goldsmith with:
Harry L. Goldsmith Canada
Cyrus K. Aidun United States
Bruce Caswell United States
Timm Krüger United Kingdom
Salvatore P. Sutera United States
Takami Yamaguchi Japan
Thomas Podgorski France
Roger Tran‐Son‐Tay United States
Jonathan Clausen United States
Shigeo Wada Japan
Prosenjit Bagchi relative to Harry L. Goldsmith Canada Harry L. Goldsmith's profile →
Citations per field
00.5×2.8×
Harry L. Goldsmith · 1×
Citations per year

Countries citing papers authored by Prosenjit Bagchi

Since Specialization
Citations

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

Fields of papers citing papers by Prosenjit Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007218
2 2003208
3 2002158
4 2008153
5 2009141
6 2005140
7 2004115
8 2013107
9 200992
10 201791
11 201187
12 200085
13 201484
14 201580
15 201275
16 200271
17 201870
18 201468
19 201767
20 200261

About Prosenjit Bagchi

Prosenjit Bagchi is a scholar working on Pulmonary and Respiratory Medicine, Computational Mechanics, Fluid Flow and Transfer Processes, Physiology and Hematology, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Blood properties and coagulation (40 papers), Rheology and Fluid Dynamics Studies (25 papers), Erythrocyte Function and Pathophysiology (17 papers), Platelet Disorders and Treatments (16 papers), Fluid Dynamics and Turbulent Flows (16 papers), Particle Dynamics in Fluid Flows (13 papers), Lattice Boltzmann Simulation Studies (7 papers) and Fluid Dynamics and Vibration Analysis (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (852 citations), Computational Mechanics (1.4k citations), Pulmonary and Respiratory Medicine (1.6k citations), Hematology (412 citations) and Ocean Engineering (550 citations). Prosenjit Bagchi has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include S. Balachandar, Sai K. Doddi, Alireza Yazdani, Péter Balogh, Koohyar Vahidkhah, Paul C. Johnson, Aleksander S. Popel, Saman Ebrahimi, Scott L. Diamond and Man Yeong Ha. Their work appears in journals such as Journal of Fluid Mechanics, Physics of Fluids, Biophysical Journal, International Journal of Multiphase Flow and Journal of Biomechanical Engineering.

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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