M. C. Math

533 citations
14 papers · 411 · h-index 8

Impact in

Papers in

M. C. Math

13 papers receiving 387 citations

Peers

M. C. Math
Comparison fields: 5 of 47
  • Fluid Flow and Transfer Processes 77
  • Biomedical Engineering 356
  • Mechanical Engineering 212
  • Energy Engineering and Power Technology 13
  • Renewable Energy, Sustainability and the Environment 31
Replace Moina Athar with:
Moina Athar India
Mohd Zamri Abdullah Malaysia
Muhammad Qasim Pakistan
Afaf R. Taman Egypt
Ramesh Kasimani India
Marta Ramos Portugal
Ivan J. Stojković Serbia
Vivek Rathore India
Leonardo Goyos Pérez Cuba
Shahid Ali Denmark
M. C. Math relative to Moina Athar India Moina Athar's profile →
Citations per field
00.5×10×13×
Moina Athar · 1×
Citations per year

Countries citing papers authored by M. C. Math

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Math

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside M. C. Math, 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 M. C. Math Line = papers co-authored together M. C. Math links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010208
2 2017116
3
Optimization of restaurant waste oil methyl ester yield
200718
4 201015
5 201615
6 200711
7 20167
8 20217
9 20075
10
Investigation of characteristics of spark ignition engine fuelled with ethanol-gasoline blends using Iso-octane additive
20204
11 20203
12 20191
13
Application of Taguchi experimental design for optimization of biodiesel production by transesterification of used cooking oil with methanol
20111
14 20200

About M. C. Math

M. C. Math is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Molecular Biology and Control and Systems Engineering, having authored 14 papers that have together received 411 indexed citations. Recurring topics across this work include Biodiesel Production and Applications (12 papers), Advanced Combustion Engine Technologies (11 papers), Lubricants and Their Additives (4 papers), Heat transfer and supercritical fluids (2 papers), Enzyme Catalysis and Immobilization (2 papers), Catalytic Processes in Materials Science (1 paper), Hybrid Renewable Energy Systems (1 paper) and Catalysis and Oxidation Reactions (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (77 citations), Biomedical Engineering (356 citations), Mechanical Engineering (212 citations), Energy Engineering and Power Technology (13 citations) and Renewable Energy, Sustainability and the Environment (31 citations). M. C. Math has collaborated with scholars based in India and Malaysia. Frequent co-authors include K.V. Yatish, G. C. Manjunath Patel, Mahesh B. Parappagoudar, Sher Afghan Khan, Abdul Aabid and S. Manjappa. Their work appears in journals such as Energy Sustainable Development, Journal of Scientific & Industrial Research, Indian Journal of Science and Technology, Energy and Journal of Engineering.

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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