D. Subramaniam

614 citations
23 papers · 500 indexed · h-index 12

Impact in

Papers in

D. Subramaniam

23 papers receiving 455 citations

Peers

D. Subramaniam
Comparison fields: 5 of 50
  • Fluid Flow and Transfer Processes 302
  • Biomedical Engineering 458
  • Mechanical Engineering 169
  • Energy Engineering and Power Technology 14
  • Computational Mechanics 75
Replace M.S. Murthy with:
M.S. Murthy India
Suman Dey India
Rasim Behçet Türkiye
M. Gul Malaysia
Sharanappa Godiganur India
Alp Ergenç Türkiye
Zeki Yılbaşı Türkiye
K. Rajagopal India
A. Kerihuel France
István Barabás Romania
D. Subramaniam relative to M.S. Murthy India M.S. Murthy's profile →
Citations per field
00.5×3.6×
M.S. Murthy · 1×
Citations per year

Countries citing papers authored by D. Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by D. Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside D. Subramaniam, 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 D. Subramaniam Line = papers co-authored together D. Subramaniam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202147
3 20206
4 20203
5 201633
6 20169
7 201632
8 201512
9 20154
10 201571
11 20152
12
A comparative estimation of C.I. engine fuelled with methyl esters of punnai, neem and waste cooking oil.
201316
13 201314
14 201322
15 20136
16 201389
17 201357
18 201331
19 201223
20 20127

About D. Subramaniam

D. Subramaniam is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Mechanical Engineering, Analytical Chemistry and Computational Mechanics, having authored 23 papers that have together received 500 indexed citations. Recurring topics across this work include Biodiesel Production and Applications (23 papers), Advanced Combustion Engine Technologies (15 papers), Lubricants and Their Additives (9 papers), Thermochemical Biomass Conversion Processes (3 papers), Heat transfer and supercritical fluids (3 papers), Catalysis and Hydrodesulfurization Studies (2 papers), Biofuel production and bioconversion (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (302 citations), Biomedical Engineering (458 citations), Mechanical Engineering (169 citations), Energy Engineering and Power Technology (14 citations) and Computational Mechanics (75 citations). D. Subramaniam has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include A. Murugesan, Avinash Alagumalai, A. Kumaravel, N. Nedunchezhian, S. Santhoshkumar, Arivalagan Pugazhendhi, P. Sasikumar and P. Saravanan. Their work appears in journals such as International Journal of Ambient Energy, Renewable and Sustainable Energy Reviews, Energy Sources Part A Recovery Utilization and Environmental Effects, Biofuels and Transportation Research Part D Transport and Environment.

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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