N.S. Shashikumar

26 papers receiving 932 citations

Peers

N.S. Shashikumar
Comparison fields: 5 of 28
  • Computational Mechanics 576
  • Biomedical Engineering 899
  • Mechanical Engineering 749
  • Fluid Flow and Transfer Processes 68
  • Modeling and Simulation 22
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M. Venkata Subba Rao India
Feroz Ahmed Soomro Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by N.S. Shashikumar

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Shashikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Shashikumar. 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 N.S. Shashikumar. The network helps show where N.S. Shashikumar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 2019103
3 202173
4 201863
5 201962
6 202051
7 201847
8 202045
9 202142
10 201835
11 201934
12 201729
13 201929
14 201829
15 202026
16 201726
17 201724
18 202124
19 202122
20 202213

About N.S. Shashikumar

N.S. Shashikumar is a scholar working on Mechanical Engineering, Biomedical Engineering, Computational Mechanics, Ocean Engineering and Earth-Surface Processes, having authored 26 papers that have together received 942 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (25 papers), Heat Transfer Mechanisms (21 papers), Heat Transfer and Optimization (13 papers), Fluid Dynamics and Turbulent Flows (13 papers), Heat and Mass Transfer in Porous Media (2 papers), Heat Transfer and Boiling Studies (1 paper), Particle Dynamics in Fluid Flows (1 paper) and Solar Thermal and Photovoltaic Systems (1 paper). The work is most often cited by research in Computational Mechanics (576 citations), Biomedical Engineering (899 citations), Mechanical Engineering (749 citations), Fluid Flow and Transfer Processes (68 citations) and Modeling and Simulation (22 citations). N.S. Shashikumar has collaborated with scholars based in India, Pakistan and South Africa. Frequent co-authors include B. Mahanthesh, B. J. Gireesha, Macha Madhu, Sabir Ali Shehzad, B. C. Prasannakumara, B.J. Gireesha, N. Kishan, Taseer Muhammad, Isaac Lare Animasaun and Joby Mackolil. Their work appears in journals such as Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum, Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Waves in Random and Complex Media, International Communications in Heat and Mass Transfer and Applied Mathematics and Mechanics.

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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