Kushal Sinha

407 citations
20 papers · 279 · h-index 10

Impact in

Papers in

Kushal Sinha

18 papers receiving 275 citations

Peers

Kushal Sinha
Comparison fields: 5 of 67
  • Fluid Flow and Transfer Processes 54
  • Computational Mechanics 89
  • Pharmaceutical Science 19
  • Pulmonary and Respiratory Medicine 90
  • Physiology 57
Replace Aymen Laadhari with:
Aymen Laadhari Switzerland
Fabio Rosso Italy
Sarifuddin Sarifuddin India
Akira Hirata Japan
Hyung Kyu Huh South Korea
Robert S. Maier United States
D. Trebotich United States
Hsien‐Wen Hsu Taiwan
Rohan Vernekar United Kingdom
Tom S. Eaves United Kingdom
Kushal Sinha relative to Aymen Laadhari Switzerland Aymen Laadhari's profile →
Citations per field
00.5×7.3×
Aymen Laadhari · 1×
Citations per year

Countries citing papers authored by Kushal Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Kushal Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201562
2 201837
3 201528
4 202125
5 202020
6 202120
7 201519
8 201912
9 201912
10 202110
11 20219
12 20196
13 20195
14 20205
15 20224
16 19592
17 20221
18 19521
19 19541
20 19590

About Kushal Sinha

Kushal Sinha is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Pulmonary and Respiratory Medicine and Fluid Flow and Transfer Processes, having authored 20 papers that have together received 279 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (6 papers), Rheology and Fluid Dynamics Studies (3 papers), Cyclone Separators and Fluid Dynamics (3 papers), Blood properties and coagulation (3 papers), Particle Dynamics in Fluid Flows (2 papers), Material Dynamics and Properties (2 papers), Lattice Boltzmann Simulation Studies (2 papers) and Fluid Dynamics and Heat Transfer (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (54 citations), Computational Mechanics (89 citations), Pharmaceutical Science (19 citations), Pulmonary and Respiratory Medicine (90 citations) and Physiology (57 citations). Kushal Sinha has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael D. Graham, Nandkishor K. Nere, Raimundo Ho, Feroz Jameel, Prashant Kumar, Deliang Zhou, Ahmad Y. Sheikh, Lei Cao, John A. Thomas and Rachel C. Evans. Their work appears in journals such as AAPS PharmSciTech, Journal of Pharmaceutical Sciences, International Journal of Heat and Mass Transfer, Scientific Reports and International Journal of Pharmaceutics.

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.

Explore authors with similar magnitude of impact