V. Ramesh

407 citations
32 papers · 269 · h-index 10

Impact in

Papers in

    • Computational Fluid Dynamics and Aerodynamics 10
    • Fluid Dynamics and Turbulent Flows 9
    • Fluid Dynamics Simulations and Interactions 3
    • Gas Dynamics and Kinetic Theory 5

V. Ramesh

28 papers receiving 234 citations

Peers

V. Ramesh
Comparison fields: 5 of 63
  • Computational Mechanics 70
  • Soil Science 24
  • Acoustics and Ultrasonics 2
  • Artificial Intelligence 77
  • Atomic and Molecular Physics, and Optics 51
Replace Jitka Machalová with:
Jitka Machalová Czechia
Na Huang China
Xia Hou China
Jader Cabral Brazil
Barry Thompson United States
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Citations per field
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Citations per year

Countries citing papers authored by V. Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by V. Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside V. Ramesh, 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. Ramesh Line = papers co-authored together V. Ramesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202365
2 201147
3 200225
4 200618
5 200817
6 200614
7
Effect of Zeolites on Soil Quality, Plant Growth and Nutrient Uptake Efficiency in Sweet Potato (Ipomoea batatas L.)
201513
8 202212
9 200710
10 20019
11 20016
12 20106
13 20194
14
Peat soil stabilization with Rice husk ash and lime powder
20153
15 20242
16 20122
17 20152
18 20202
19 20102
20 20141

About V. Ramesh

V. Ramesh is a scholar working on Computational Mechanics, Applied Mathematics, Plant Science, Mechanics of Materials and Geochemistry and Petrology, having authored 32 papers that have together received 269 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (10 papers), Fluid Dynamics and Turbulent Flows (9 papers), Gas Dynamics and Kinetic Theory (5 papers), Numerical methods in engineering (4 papers), Fluid Dynamics Simulations and Interactions (3 papers), Coal and Its By-products (3 papers), Smart Agriculture and AI (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Computational Mechanics (70 citations), Soil Science (24 citations), Acoustics and Ultrasonics (2 citations), Artificial Intelligence (77 citations) and Atomic and Molecular Physics, and Optics (51 citations). V. Ramesh has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include S. M. Deshpande, Kevin Singh, Hannes Bernien, C. E. Bradley, C. S. Praveen, G. R. Korwar, Arunn Narasimhan, S. Vengadesan, K. L. Sharma and Uttam Kumar Mandal. Their work appears in journals such as Computers & Fluids, Lecture notes in computational science and engineering, Communications in Computational Physics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Wind and Structures.

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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