G. Mahendran

41 papers receiving 517 citations

Peers

G. Mahendran
Comparison fields: 5 of 82
  • Fluid Flow and Transfer Processes 165
  • Biomedical Engineering 439
  • Energy Engineering and Power Technology 24
  • Renewable Energy, Sustainability and the Environment 110
  • Health Information Management 30
Replace Sudhir Shrestha with:
Sudhir Shrestha United States
P. Somasundaram India
Vikram Mittal United States
Manfeng Dou China
R Karthik India
H. Habibullah Australia
Yonghong Xu China
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Qi Tao China
G. Mahendran relative to Sudhir Shrestha United States Sudhir Shrestha's profile →
Citations per field
00.5×4.8×
Sudhir Shrestha · 1×
Citations per year

Countries citing papers authored by G. Mahendran

Since Specialization
Citations

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

Fields of papers citing papers by G. Mahendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 202055
3 202053
4 201941
5 201537
6 202034
7 202232
8 202331
9 202031
10 202031
11 202028
12
Performance analysis of CuO 2 Nanoparticles addition with Neochloris Oleoabundans Algae biodiesel on CI engine
201922
13 201417
14 202014
15 201813
16 202013
17 202011
18 202011
19 202010
20 20209

About G. Mahendran

G. Mahendran is a scholar working on Biomedical Engineering, Mechanical Engineering, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Materials Chemistry, having authored 46 papers that have together received 676 indexed citations. Recurring topics across this work include Biodiesel Production and Applications (18 papers), Lubricants and Their Additives (9 papers), Retinal Imaging and Analysis (6 papers), Catalytic Processes in Materials Science (5 papers), Microgrid Control and Optimization (4 papers), Digital Imaging for Blood Diseases (4 papers), Artificial Intelligence in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (165 citations), Biomedical Engineering (439 citations), Energy Engineering and Power Technology (24 citations), Renewable Energy, Sustainability and the Environment (110 citations) and Health Information Management (30 citations). G. Mahendran has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include S. Karthikeyan, K. Kalaimurugan, M. Periyasamy, T. Dharmaprabhakaran, M. Periyasamy, R. Dhanasekaran, A. Prathima, U. Arun Kumar, S. Venugopal and Shobhit K. Patel. Their work appears in journals such as Scientific Reports, Energy Sources Part A Recovery Utilization and Environmental Effects, Materials Today Proceedings, Journal of Scientific & Industrial Research and Optical and Quantum Electronics.

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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