A. Murugesan

2.6k total citations · 1 hit paper
55 papers, 2.1k citations indexed

About

A. Murugesan is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Mechanical Engineering. According to data from OpenAlex, A. Murugesan has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 25 papers in Fluid Flow and Transfer Processes and 25 papers in Mechanical Engineering. Recurrent topics in A. Murugesan's work include Biodiesel Production and Applications (41 papers), Advanced Combustion Engine Technologies (25 papers) and Lubricants and Their Additives (16 papers). A. Murugesan is often cited by papers focused on Biodiesel Production and Applications (41 papers), Advanced Combustion Engine Technologies (25 papers) and Lubricants and Their Additives (16 papers). A. Murugesan collaborates with scholars based in India, Ethiopia and United States. A. Murugesan's co-authors include R. Subramanian, Avinash Alagumalai, N. Nedunchezhian, D. Subramaniam, A. Kumaravel, S. Kumaravel, Marimuthu Krishnan, T.R. Chinnusamy, E. Rajasekar and K. Mayilsamy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

A. Murugesan

48 papers receiving 1.9k citations

Hit Papers

Bio-diesel as an alternative fuel for diesel engines—A re... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Murugesan India 22 1.7k 950 749 286 235 55 2.1k
Ertan Alptekin Türkiye 19 1.9k 1.1× 1.2k 1.3× 817 1.1× 296 1.0× 214 0.9× 31 2.2k
S.L. Soni India 17 1.6k 0.9× 762 0.8× 789 1.1× 186 0.7× 258 1.1× 26 2.0k
S.A. Shahir Malaysia 13 1.3k 0.8× 918 1.0× 617 0.8× 222 0.8× 206 0.9× 15 1.7k
A. Sanjid Malaysia 18 1.6k 0.9× 1.3k 1.4× 632 0.8× 305 1.1× 286 1.2× 24 1.9k
B.M. Masum Malaysia 16 1.6k 0.9× 1.3k 1.4× 544 0.7× 321 1.1× 385 1.6× 22 2.1k
Dilip Sharma India 25 1.8k 1.0× 1.1k 1.1× 885 1.2× 278 1.0× 392 1.7× 70 2.5k
A.M. Liaquat Malaysia 13 1.5k 0.9× 1.1k 1.1× 685 0.9× 217 0.8× 164 0.7× 22 1.7k
Haeng Muk Cho South Korea 20 1.7k 1.0× 1.6k 1.6× 731 1.0× 495 1.7× 342 1.5× 67 2.4k
M.A. Hazrat Australia 25 1.7k 1.0× 770 0.8× 893 1.2× 174 0.6× 463 2.0× 41 2.6k
M.J. Abedin Malaysia 27 2.0k 1.1× 1.6k 1.7× 761 1.0× 393 1.4× 469 2.0× 45 2.5k

Countries citing papers authored by A. Murugesan

Since Specialization
Citations

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

Fields of papers citing papers by A. Murugesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Murugesan

This figure shows the co-authorship network connecting the top 25 collaborators of A. Murugesan. A scholar is included among the top collaborators of A. Murugesan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Murugesan. A. Murugesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arumugam, S., Murad Alsawalha, Priya Srivastava, et al.. (2025). Microwave-assisted synthesis of Nd-doped La2CuO4 perovskite photocatalysts for enhanced degradation of methyl orange and E. Coli inactivation in wastewater treatment. Journal of Industrial and Engineering Chemistry. 151. 802–814.
3.
Murugesan, A., et al.. (2025). Machine learning-driven intelligent voltage control in renewable energy grids. Electric Power Systems Research. 248. 111869–111869.
5.
Pavithra, M., et al.. (2023). Facial Detection and Recognition-based Smart System on Feature Extraction using Raspberry Pi. 19. 1076–1082. 1 indexed citations
6.
Murugesan, A., et al.. (2022). Effect of nanoparticles on DI-CI engine characteristics fueled with biodiesel–diesel blends—A critical review. Journal of Thermal Analysis and Calorimetry. 147(17). 9163–9179. 26 indexed citations
7.
Subramaniam, D., et al.. (2020). Performance and emission characteristics of a naturally aspirated direct injection diesel engine fuelled with Calophyllum Inophyllum (Punnai) methyl ester. International Journal of Ambient Energy. 43(1). 3638–3644. 6 indexed citations
8.
Prakash, Ravi, A. Murugesan, & A. Kumaravel. (2019). Influence of Nano Fuel Additives to Control Environmental Pollution from Naturally Aspirated Di-Ci Engine. 45–54. 2 indexed citations
9.
Alagumalai, Avinash & A. Murugesan. (2017). Economic analysis of biodiesel production from waste cooking oil. Energy Sources Part B Economics Planning and Policy. 12(10). 890–894. 51 indexed citations
10.
Alagumalai, Avinash & A. Murugesan. (2017). Chemometric analysis of cow dung ash as an adsorbent for purifying biodiesel from waste cooking oil. Scientific Reports. 7(1). 9526–9526. 31 indexed citations
11.
Kumar, Chanchal, et al.. (2017). Experimental Investigation on the Effects of Nano Additives on Mahuca Indica Methyl Ester-Diesel Fuel Blends in Diesel Engine. Asian Journal of Research in Social Sciences and Humanities. 7(1). 120–120. 3 indexed citations
12.
Murugesan, A., et al.. (2016). Oscillation of Second Order Nonlinear Neutral Advanced Functional Difference Equations. SHILAP Revista de lepidopterología. 6(2). 281–296. 1 indexed citations
13.
Murugesan, A., et al.. (2016). Biodiesel from plant seed oils as an alternate fuel for compression ignition engines—a review. Environmental Science and Pollution Research. 23(24). 24711–24730. 33 indexed citations
14.
Murugesan, A., et al.. (2016). Computational engine performance and emission analysis using Ceiba pentandra biodiesel. Biofuels. 7(3). 201–206. 9 indexed citations
15.
Murugesan, A., et al.. (2015). Performance, emissions and combustion characteristics of CI engine fuel with watermelon (Citrullus vulgaris) methyl esters. International Journal of Ambient Energy. 38(3). 308–313. 12 indexed citations
16.
Subramaniam, D., A. Murugesan, & Avinash Alagumalai. (2013). A comparative estimation of C.I. engine fuelled with methyl esters of punnai, neem and waste cooking oil.. 4(5). 859–870. 16 indexed citations
17.
Subramaniam, D., A. Murugesan, & Avinash Alagumalai. (2013). Performance and emission evaluation of biodiesel fueled diesel engine abetted with exhaust gas recirculation and Ni coated catalytic converter. Journal of Renewable and Sustainable Energy. 5(2). 14 indexed citations
18.
Subramaniam, D., A. Murugesan, & Avinash Alagumalai. (2013). An inclusive view on biodiesel production by heterogeneous catalyst and its engine operational characteristics. Journal of Renewable and Sustainable Energy. 5(3). 22 indexed citations
19.
Mayilsamy, K., et al.. (2012). Fin Effectiveness Optimization of Elliptical Annular Fins by Genetic Algorithm. Procedia Engineering. 38. 2939–2948. 6 indexed citations
20.
Rajasekar, E., A. Murugesan, R. Subramanian, & N. Nedunchezhian. (2010). Review of NOx reduction technologies in CI engines fuelled with oxygenated biomass fuels. Renewable and Sustainable Energy Reviews. 14(7). 2113–2121. 136 indexed citations

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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