Mahesha

24 papers receiving 391 citations

Peers

Mahesha
Comparison fields: 5 of 19
  • Computational Mechanics 293
  • Biomedical Engineering 377
  • Mechanical Engineering 316
  • Modeling and Simulation 15
  • Fluid Flow and Transfer Processes 19
Replace M. V. V. N. L. Sudharani with:
M. V. V. N. L. Sudharani India
Rahimah Jusoh Malaysia
Khalil-Ur-Rehman Pakistan
Kasseb L. Mahny Egypt
Madiha Bibi Pakistan
Neha Vijay India
M. Bilal Ashraf Pakistan
S. Jena India
Naila Shaheen Pakistan
S. Mamatha Upadhya India
Mahesha relative to M. V. V. N. L. Sudharani India M. V. V. N. L. Sudharani's profile →
Citations per field
00.5×1.5×
M. V. V. N. L. Sudharani · 1×
Citations per year

Countries citing papers authored by Mahesha

Since Specialization
Citations

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

Fields of papers citing papers by Mahesha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mahesha, 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 Mahesha Line = papers co-authored together Mahesha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201857
3 201843
4 201833
5 201830
6 201729
7 201819
8 201815
9 201915
10 201814
11 201714
12 201712
13 201810
14 20187
15 20186
16 20186
17 20185
18 20184
19 20184
20 20232

About Mahesha

Mahesha is a scholar working on Mechanical Engineering, Biomedical Engineering, Computational Mechanics, Ocean Engineering and Aerospace Engineering, having authored 24 papers that have together received 399 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (23 papers), Heat Transfer Mechanisms (23 papers), Fluid Dynamics and Turbulent Flows (16 papers), Heat Transfer and Optimization (4 papers), Heat and Mass Transfer in Porous Media (3 papers), Aerodynamics and Fluid Dynamics Research (1 paper), Particle Dynamics in Fluid Flows (1 paper) and Fluid Dynamics and Thin Films (1 paper). The work is most often cited by research in Computational Mechanics (293 citations), Biomedical Engineering (377 citations), Mechanical Engineering (316 citations), Modeling and Simulation (15 citations) and Fluid Flow and Transfer Processes (19 citations). Mahesha has collaborated with scholars based in India, South Africa and United States. Frequent co-authors include C. S. K. Raju, S. Mamatha Upadhya, S. Saleem, Oluwole Daniel Makinde, A. A. Alderremy, F. M. Abbasi, Sabir Ali Shehzad, S. Suresh Kumar Raju, G. K. Ramesh and Pogaku Ravindra. Their work appears in journals such as Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum, Journal of Integrative Neuroscience, Numerical Heat Transfer Part B Fundamentals, Powder Technology and Journal of Porous Media.

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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