K. Murugesan

3.3k citations
126 papers · 2.7k · h-index 27

Impact in

Papers in

K. Murugesan

116 papers receiving 2.6k citations

Peers

K. Murugesan
Comparison fields: 5 of 116
  • Fluid Flow and Transfer Processes 441
  • Modeling and Simulation 254
  • Numerical Analysis 277
  • Renewable Energy, Sustainability and the Environment 537
  • Computational Mechanics 611
Replace Antonio Campo with:
Antonio Campo United States
Jae Dong Chung South Korea
Renato M. Cotta Brazil
Mihir Sen United States
Cha’o-Kuang Chen Taiwan
Kamel Al‐Khaled Jordan
Marín Marín Romania
M.A. El‐Shorbagy Egypt
José Luis Caramés Lage United States
Xiaofeng Yang China
K. Murugesan relative to Antonio Campo United States Antonio Campo's profile →
Citations per field
00.5×3.4×
Antonio Campo · 1×
Citations per year

Countries citing papers authored by K. Murugesan

Since Specialization
Citations

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

Fields of papers citing papers by K. Murugesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011294
2 2009193
3 2013142
4 2005133
5 2004102
6 201777
7 201474
8 201762
9 200160
10 201456
11 201255
12 202054
13 200451
14 200549
15 200648
16 201947
17 201145
18 200544
19 201743
20 201440

About K. Murugesan

K. Murugesan is a scholar working on Computational Mechanics, Numerical Analysis, Biomedical Engineering, Mechanical Engineering and Modeling and Simulation, having authored 126 papers that have together received 2.7k indexed citations. Recurring topics across this work include Numerical methods for differential equations (22 papers), Fractional Differential Equations Solutions (18 papers), Nanofluid Flow and Heat Transfer (17 papers), Geothermal Energy Systems and Applications (14 papers), Differential Equations and Numerical Methods (12 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Matrix Theory and Algorithms (10 papers) and Nonlinear Waves and Solitons (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (441 citations), Modeling and Simulation (254 citations), Numerical Analysis (277 citations), Renewable Energy, Sustainability and the Environment (537 citations) and Computational Mechanics (611 citations). K. Murugesan has collaborated with scholars based in India, Taiwan and United Kingdom. Frequent co-authors include T. Ganapathy, R.P. Gakkhar, T. Sivasakthivel, D.L. Young, Hywel Rhys Thomas, Vikas Verma, Chia‐Cheng Tsai, Chia‐Ming Fan, K. Balachandran and PK Sahoo. Their work appears in journals such as Numerical Heat Transfer Part A Applications, Applied Energy, International Journal of Heat and Mass Transfer, Applied Mathematics and Computation and Chaos Solitons & Fractals.

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