V. Seshadri

2.0k citations
99 papers · 1.7k · h-index 24

Impact in

Papers in

V. Seshadri

93 papers receiving 1.6k citations

Peers

V. Seshadri
Comparison fields: 5 of 98
  • Ecological Modeling 381
  • Computational Mechanics 621
  • Fluid Flow and Transfer Processes 149
  • Mechanical Engineering 749
  • Ocean Engineering 271
Replace H. M. Badr with:
H. M. Badr Saudi Arabia
Nobuyuki FUJISAWA Japan
Ali Shahbaz Haider United States
Jinyang Zheng China
K. Bremhorst Australia
S. A. Morsi United Kingdom
Jean-Marie Michel France
Zuchao Zhu China
Alessio Suman Italy
Santiago Laı́n Colombia
V. Seshadri relative to H. M. Badr Saudi Arabia H. M. Badr's profile →
Citations per field
00.5×1.5×1.9×
H. M. Badr · 1×
Citations per year

Countries citing papers authored by V. Seshadri

Since Specialization
Citations

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

Fields of papers citing papers by V. Seshadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199999
2 197695
3 200886
4 200175
5 200375
6 197068
7 200359
8 200956
9 199248
10 201246
11 201738
12 201035
13 200634
14 200832
15 200231
16 200331
17 197030
18 196830
19 200230
20 201529

About V. Seshadri

V. Seshadri is a scholar working on Computational Mechanics, Mechanical Engineering, Aerospace Engineering, Mechanics of Materials and Ocean Engineering, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Coal Combustion and Slurry Processing (27 papers), Granular flow and fluidized beds (23 papers), Fluid Dynamics and Turbulent Flows (12 papers), Aerodynamics and Fluid Dynamics Research (11 papers), Flow Measurement and Analysis (11 papers), Aerodynamics and Acoustics in Jet Flows (10 papers), Particle Dynamics in Fluid Flows (9 papers) and Blood properties and coagulation (9 papers). The work is most often cited by research in Ecological Modeling (381 citations), Computational Mechanics (621 citations), Fluid Flow and Transfer Processes (149 citations), Mechanical Engineering (749 citations) and Ocean Engineering (271 citations). V. Seshadri has collaborated with scholars based in India, United States and France. Frequent co-authors include S. N. Singh, Bhupendra K. Gandhi, Sumer Singh, Bharat Gupta, Salvatore P. Sutera, Sunil Chandel, Rajesh Kumar Singh, Rakesh Mishra, Rupak K. Banerjee and Prasanna Hariharan. Their work appears in journals such as Particulate Science And Technology, Flow Measurement and Instrumentation, Microvascular Research, Journal of Aircraft and Wear.

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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