Pradeep Bhat

771 citations
8 papers · 631 · h-index 6

Impact in

Papers in

Pradeep Bhat

8 papers receiving 619 citations

Peers

Pradeep Bhat
Comparison fields: 5 of 61
  • Fluid Flow and Transfer Processes 154
  • Surfaces, Coatings and Films 147
  • Computational Mechanics 358
  • Electrical and Electronic Engineering 294
  • Biomedical Engineering 172
Replace Santosh Appathurai with:
Santosh Appathurai United States
Joshua Dijksman Netherlands
Sumeet Thete United States
Ronald Suryo United States
Peter Randall Schunk United States
Lucy E. Rodd Australia
Alvin U. Chen United States
Edward D. Wilkes United States
J. Uddin United Kingdom
Maniya Maleki Iran
Pradeep Bhat relative to Santosh Appathurai United States Santosh Appathurai's profile →
Citations per field
00.5×1.5×2.2×
Santosh Appathurai · 1×
Citations per year

Countries citing papers authored by Pradeep Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Pradeep Bhat, 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 Pradeep Bhat Line = papers co-authored together Pradeep Bhat links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010281
2 2011249
3 200744
4 200625
5 201217
6 200913
7
Formation of beads-on-a-string structures during the pinch-off of viscoelastic filaments
20091
8
Micro-Macro simulation of viscoelastic free surface flows using the Brownian configuration fields method
20041

About Pradeep Bhat

Pradeep Bhat is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Biomedical Engineering, having authored 8 papers that have together received 631 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (4 papers), Rheology and Fluid Dynamics Studies (4 papers), Surface Modification and Superhydrophobicity (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Lattice Boltzmann Simulation Studies (2 papers), Nanomaterials and Printing Technologies (1 paper), Nanofabrication and Lithography Techniques (1 paper) and Advanced Mathematical Modeling in Engineering (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (154 citations), Surfaces, Coatings and Films (147 citations), Computational Mechanics (358 citations), Electrical and Electronic Engineering (294 citations) and Biomedical Engineering (172 citations). Pradeep Bhat has collaborated with scholars based in United States, Bulgaria and Australia. Frequent co-authors include Osman A. Basaran, Haijing Gao, Matteo Pasquali, Santosh Appathurai, Michael T. Harris, Gareth H. McKinley, J. Ravi Prakash and Mohit Bajaj. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Nature Physics, Annual Review of Fluid Mechanics, Physics of Fluids and Bulletin of the American Physical Society.

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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