C. Muraleedharan

5.9k total citations · 3 hit papers
79 papers, 4.8k citations indexed

About

C. Muraleedharan is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, C. Muraleedharan has authored 79 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 43 papers in Mechanical Engineering and 20 papers in Computational Mechanics. Recurrent topics in C. Muraleedharan's work include Thermochemical Biomass Conversion Processes (29 papers), Biodiesel Production and Applications (19 papers) and Heat Transfer and Optimization (15 papers). C. Muraleedharan is often cited by papers focused on Thermochemical Biomass Conversion Processes (29 papers), Biodiesel Production and Applications (19 papers) and Heat Transfer and Optimization (15 papers). C. Muraleedharan collaborates with scholars based in India and United Kingdom. C. Muraleedharan's co-authors include S. Jayaraj, Arumugam Sakunthalai Ramadhas, M. Mohanraj, P. Arun, M. Satyanarayana, P. Chandrasekar, V. Baiju, A. Santhiagu, Karthik Guda Vishnu and Parmod Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

C. Muraleedharan

77 papers receiving 4.4k citations

Hit Papers

Biodiesel production from high FFA rubber seed oil 2003 2026 2010 2018 2004 2003 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Muraleedharan India 29 3.2k 2.5k 1.3k 621 526 79 4.8k
Gaurav Dwivedi India 34 2.2k 0.7× 1.5k 0.6× 1.0k 0.8× 345 0.6× 745 1.4× 160 4.1k
Hifjur Raheman India 28 3.3k 1.0× 2.2k 0.9× 1.7k 1.3× 463 0.7× 223 0.4× 108 4.6k
M.P. Dorado Spain 37 4.2k 1.3× 1.4k 0.6× 2.2k 1.6× 649 1.0× 328 0.6× 90 5.2k
Tikendra Nath Verma India 43 3.6k 1.1× 1.3k 0.5× 2.3k 1.8× 529 0.9× 820 1.6× 168 5.2k
S. Jayaraj India 37 3.8k 1.2× 3.4k 1.4× 1.9k 1.4× 986 1.6× 1.5k 2.8× 136 7.2k
A.K. Azad Australia 33 2.4k 0.7× 1.2k 0.5× 1.2k 0.9× 480 0.8× 475 0.9× 104 3.6k
Avinash Alagumalai India 31 1.9k 0.6× 952 0.4× 730 0.6× 309 0.5× 455 0.9× 90 3.0k
Naveen Kumar India 27 3.1k 1.0× 1.4k 0.6× 2.2k 1.6× 601 1.0× 321 0.6× 237 4.0k
L. M. Das India 37 4.3k 1.3× 1.7k 0.7× 3.6k 2.7× 1.1k 1.7× 337 0.6× 108 5.8k
Yuvarajan Devarajan India 41 3.9k 1.2× 1.9k 0.8× 2.7k 2.1× 710 1.1× 336 0.6× 167 5.6k

Countries citing papers authored by C. Muraleedharan

Since Specialization
Citations

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

Fields of papers citing papers by C. Muraleedharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Muraleedharan

This figure shows the co-authorship network connecting the top 25 collaborators of C. Muraleedharan. A scholar is included among the top collaborators of C. Muraleedharan 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 C. Muraleedharan. C. Muraleedharan 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.
Arun, P., et al.. (2025). Thermochemical conversion of coffee husk: a study on thermo-kinetic analysis, volatile composition and ash behavior. Biomass Conversion and Biorefinery. 15(14). 20723–20740. 1 indexed citations
2.
Rajesh, Jegathalaprathaban, et al.. (2025). Catalytic slow pyrolysis of torrefied groundnut shells for enhanced bio-oil yield and quality. Thermal Science and Engineering Progress. 62. 103560–103560.
3.
Arun, P., et al.. (2025). ANN model-based estimation of ash agglomeration temperature in fluidised bed gasification using ash composition. International Journal of Hydrogen Energy. 142. 1086–1101. 2 indexed citations
4.
Arun, P., et al.. (2025). Unlocking the potential of corn husk through pyrolysis and gasification: Characterization, kinetics, and agglomeration analysis. Biomass and Bioenergy. 195. 107701–107701. 1 indexed citations
5.
Arun, P., et al.. (2024). Development and performance investigation of coffee husk-derived carbon-based nanofluid for solar thermal applications. Solar Energy Materials and Solar Cells. 277. 113136–113136. 3 indexed citations
6.
Vishnu, Karthik Guda, et al.. (2024). Experimental and numerical investigations on an open thermochemical energy storage system using low-temperature hydrate salt. Thermal Science and Engineering Progress. 53. 102749–102749. 5 indexed citations
7.
Muraleedharan, C., et al.. (2023). Experimental analysis of wavy mesh assisted solar drying system with a survey of common drying technologies employed by farmers. Sustainable Energy Technologies and Assessments. 56. 103049–103049. 7 indexed citations
8.
Arun, P., et al.. (2023). Agglomeration behavior of lignocellulosic biomasses in fluidized bed gasification: a comprehensive review. Journal of Thermal Analysis and Calorimetry. 148(17). 9289–9308. 8 indexed citations
9.
Muraleedharan, C., et al.. (2018). Modelling and dynamic simulation of solar-thermal energy conversion in an unconventional solar thermal water pump. Renewable Energy. 134. 292–305. 9 indexed citations
10.
Muraleedharan, C., et al.. (2016). Energy and exergy analysis of syngas production from different biomasses through air-steam gasification. Frontiers in Energy. 14(3). 607–619. 37 indexed citations
11.
Muraleedharan, C., et al.. (2016). Extraction of Oil from Rubber Seed through Hydraulic Press and Kinetic Study of Acid Esterification of Rubber Seed Oil. Procedia Technology. 25. 1006–1013. 10 indexed citations
12.
Baiju, V. & C. Muraleedharan. (2013). Energy and exergy analysis of solar hybrid adsorption refrigeration system. International Journal of Sustainable Engineering. 6(4). 289–300. 10 indexed citations
13.
Baiju, V. & C. Muraleedharan. (2012). Performance Prediction of Solar Adsorption Refrigeration System by Ann. SHILAP Revista de lepidopterología. 2012. 1–8. 8 indexed citations
14.
Satyanarayana, M. & C. Muraleedharan. (2012). Experimental Studies on Performance and Emission Characteristics of Neat Preheated Vegetable Oils in a DI Diesel Engine. Energy Sources Part A Recovery Utilization and Environmental Effects. 34(18). 1710–1722. 18 indexed citations
15.
Ramadhas, Arumugam Sakunthalai, S. Jayaraj, & C. Muraleedharan. (2010). Performance and emission studies on biodiesel-liquefied petroleum gas dual fuel engine with exhaust gas recirculation. Journal of Renewable and Sustainable Energy. 2(1). 14 indexed citations
16.
Satyanarayana, M. & C. Muraleedharan. (2010). Prediction of Acid Values of Vegetable Oils Having High Free Fatty Acids Using Artificial Neural Networks. Energy Sources Part A Recovery Utilization and Environmental Effects. 32(16). 1479–1489. 9 indexed citations
17.
Mohanraj, M., S. Jayaraj, & C. Muraleedharan. (2009). Exergy analysis of direct expansion solar-assisted heat pumps using artificial neural networks. International Journal of Energy Research. 33(11). 1005–1020. 50 indexed citations
18.
Mohanraj, M., C. Muraleedharan, & S. Jayaraj. (2006). Natural refrigerants as the substitute for CFC-HFC refrigerants in vapour compression refrigeration units: a review.. 2 indexed citations
19.
Ramadhas, Arumugam Sakunthalai, et al.. (2006). Artificial neural networks used for the prediction of the cetane number of biodiesel. Renewable Energy. 31(15). 2524–2533. 133 indexed citations
20.
Ramadhas, Arumugam Sakunthalai, S. Jayaraj, & C. Muraleedharan. (2004). Biodiesel production from high FFA rubber seed oil. Fuel. 84(4). 335–340. 1027 indexed citations breakdown →

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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