K. Ganesh Kumar

4.9k citations
133 papers · 4.0k · h-index 38

Impact in

Papers in

K. Ganesh Kumar

124 papers receiving 3.9k citations

Peers

K. Ganesh Kumar
Comparison fields: 5 of 128
  • Computational Mechanics 2.3k
  • Biomedical Engineering 3.3k
  • Mechanical Engineering 2.7k
  • Fluid Flow and Transfer Processes 246
  • Modeling and Simulation 116
Replace M. Ijaz Khan with:
M. Ijaz Khan Pakistan
Alî Keskin Türkiye
Sid Becker New Zealand
Shengqiao Li United States
J. C. Chato United States
John Miller United States
Arunn Narasimhan India
Lifeng Wang China
Roland C. Aydin Germany
K. Ganesh Kumar relative to M. Ijaz Khan Pakistan M. Ijaz Khan's profile →
Citations per field
00.5×50×101.7×
M. Ijaz Khan · 1×
Citations per year

Countries citing papers authored by K. Ganesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Ganesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ganesh Kumar. 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 K. Ganesh Kumar. The network helps show where K. Ganesh Kumar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009248
2 2021121
3 2019111
4 2017107
5 2010101
6 2020100
7 202097
8 201992
9 201990
10 201885
11 201784
12 201876
13 201775
14 202173
15 201769
16 202068
17 201767
18 201866
19 202066
20 201964

About K. Ganesh Kumar

K. Ganesh Kumar is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 133 papers that have together received 4.0k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (105 papers), Heat Transfer Mechanisms (80 papers), Fluid Dynamics and Turbulent Flows (58 papers), Heat Transfer and Optimization (35 papers), Solar Thermal and Photovoltaic Systems (4 papers), Genetic and phenotypic traits in livestock (4 papers), Fluid Dynamics and Thin Films (4 papers) and Rheology and Fluid Dynamics Studies (4 papers). The work is most often cited by research in Computational Mechanics (2.3k citations), Biomedical Engineering (3.3k citations), Mechanical Engineering (2.7k citations), Fluid Flow and Transfer Processes (246 citations) and Modeling and Simulation (116 citations). K. Ganesh Kumar has collaborated with scholars based in India, Saudi Arabia and Pakistan. Frequent co-authors include M. Gnaneswara Reddy, B. J. Gireesha, N. G. Rudraswamy, B. C. Prasannakumara, Mohammad Rahimi‐Gorji, G. K. Ramesh, Ali J. Chamkha, M. V. V. N. L. Sudharani, S. Manjunatha and M.R. Krishnamurthy. Their work appears in journals such as Microsystem Technologies, Journal of Molecular Liquids, Journal of Thermal Analysis and Calorimetry, Waves in Random and Complex Media and Physica A Statistical Mechanics and its Applications.

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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