K. Murugesan

3.3k total citations
126 papers, 2.7k citations indexed

About

K. Murugesan is a scholar working on Computational Mechanics, Numerical Analysis and Biomedical Engineering. According to data from OpenAlex, K. Murugesan has authored 126 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 29 papers in Numerical Analysis and 28 papers in Biomedical Engineering. Recurrent topics in K. Murugesan's work include Numerical methods for differential equations (22 papers), Fractional Differential Equations Solutions (18 papers) and Nanofluid Flow and Heat Transfer (17 papers). K. Murugesan is often cited by papers focused on Numerical methods for differential equations (22 papers), Fractional Differential Equations Solutions (18 papers) and Nanofluid Flow and Heat Transfer (17 papers). K. Murugesan collaborates with scholars based in India, Taiwan and United Kingdom. K. Murugesan's co-authors include R.P. Gakkhar, T. Ganapathy, T. Sivasakthivel, D.L. Young, Hywel Rhys Thomas, Vikas Verma, Chia‐Cheng Tsai, Chia‐Ming Fan, K. Balachandran and PK Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Computational Physics.

In The Last Decade

K. Murugesan

116 papers receiving 2.6k citations

Peers

K. Murugesan
Comparison fields: 5 of 116
  • Mechanical Engineering 888
  • Biomedical Engineering 813
  • Computational Mechanics 611
  • Renewable Energy, Sustainability and the Environment 537
  • Fluid Flow and Transfer Processes 441
Replace Antonio Campo with:
Antonio Campo United States
Mihir Sen United States
Renato M. Cotta Brazil
Kamel Al‐Khaled Jordan
Jae Dong Chung South Korea
José Luis Caramés Lage United States
M.A. El‐Shorbagy Egypt
Ranjan Das India
Tiancheng Ouyang China
Gongnan Xie China
Antonio Campo United States View profile →
Citations per field, relative to K. Murugesan
K. Murugesan · 1×
Citations per year, relative to K. Murugesan
K. Murugesan · 1×

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-authorship network of co-authors of K. Murugesan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Murugesan. A scholar is included among the top collaborators of K. Murugesan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Murugesan. K. Murugesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 2
5 0
6 2
7 20
8 9
9 26
10 17
11 54
12 1
13
Schema-based cache validation of dynamic content to improve query performance of web services
1
14 13
15 193
16 1
17 18
18 8
19 21
20 21

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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