Marisamy Muthuraman

516 total citations
8 papers, 415 citations indexed

About

Marisamy Muthuraman is a scholar working on Biomedical Engineering, Renewable Energy, Sustainability and the Environment and Geochemistry and Petrology. According to data from OpenAlex, Marisamy Muthuraman has authored 8 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Geochemistry and Petrology. Recurrent topics in Marisamy Muthuraman's work include Solar Thermal and Photovoltaic Systems (5 papers), Nanofluid Flow and Heat Transfer (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Marisamy Muthuraman is often cited by papers focused on Solar Thermal and Photovoltaic Systems (5 papers), Nanofluid Flow and Heat Transfer (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Marisamy Muthuraman collaborates with scholars based in India, Japan and United Arab Emirates. Marisamy Muthuraman's co-authors include Tomoaki Namioka, Kunio Yoshikawa and Gopal Nandan and has published in prestigious journals such as Bioresource Technology, Applied Energy and Fuel Processing Technology.

In The Last Decade

Marisamy Muthuraman

8 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisamy Muthuraman India 7 342 137 86 72 52 8 415
Hanmin Xiao China 9 275 0.8× 158 1.2× 137 1.6× 81 1.1× 30 0.6× 17 403
Zhentong Wang China 14 388 1.1× 160 1.2× 121 1.4× 114 1.6× 45 0.9× 18 528
Yanpeng Ban China 16 380 1.1× 154 1.1× 108 1.3× 125 1.7× 20 0.4× 39 509
Jinwei Jia China 6 272 0.8× 160 1.2× 117 1.4× 68 0.9× 18 0.3× 14 434
Peiwen Fang China 10 323 0.9× 145 1.1× 85 1.0× 97 1.3× 36 0.7× 11 429
Monika Kosowska‐Golachowska Poland 9 309 0.9× 140 1.0× 84 1.0× 114 1.6× 24 0.5× 23 421
Wojciech Moroń Poland 8 238 0.7× 117 0.9× 94 1.1× 57 0.8× 14 0.3× 26 361
Tomasz Musiał Poland 8 265 0.8× 129 0.9× 72 0.8× 103 1.4× 20 0.4× 18 374
Michał Czerep Poland 12 235 0.7× 111 0.8× 47 0.5× 37 0.5× 25 0.5× 24 347
Feyza Kazanç Türkiye 15 466 1.4× 121 0.9× 93 1.1× 145 2.0× 14 0.3× 26 564

Countries citing papers authored by Marisamy Muthuraman

Since Specialization
Citations

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

Fields of papers citing papers by Marisamy Muthuraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisamy Muthuraman

This figure shows the co-authorship network connecting the top 25 collaborators of Marisamy Muthuraman. A scholar is included among the top collaborators of Marisamy Muthuraman 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 Marisamy Muthuraman. Marisamy Muthuraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Nandan, Gopal, et al.. (2018). Pressure drop characteristics and efficiency enhancement by using TiO<sub align="right">2-H<sub align="right">2O nanofluid in a sustainable solar thermal energy collector. International Journal of Environment and Sustainable Development. 17(2/3). 273–273. 5 indexed citations
2.
Nandan, Gopal, et al.. (2018). Modeling a Renewable Energy Collector and Prediction in Different Flow Regimes Using CFD. Materials Today Proceedings. 5(2). 4563–4574. 10 indexed citations
3.
Nandan, Gopal, et al.. (2018). Investigations on Viscosity and Thermal Conductivity of Cobalt oxide- water Nano fluid. Materials Today Proceedings. 5(2). 6176–6182. 25 indexed citations
4.
Nandan, Gopal, et al.. (2017). Performance enhancement of a renewable thermal energy collector using metallic oxide nanofluids. Micro & Nano Letters. 13(2). 248–251. 32 indexed citations
5.
Nandan, Gopal, et al.. (2017). Preparation of Co<SUB align="right">3O<SUB align="right">4-H<SUB align="right">2O nanofluid and application to CR-60 concentrating solar collector. Progress in Industrial Ecology An International Journal. 11(3). 227–227. 8 indexed citations
6.
Muthuraman, Marisamy, Tomoaki Namioka, & Kunio Yoshikawa. (2010). A comparative study on co-combustion performance of municipal solid waste and Indonesian coal with high ash Indian coal: A thermogravimetric analysis. Fuel Processing Technology. 91(5). 550–558. 92 indexed citations
7.
Muthuraman, Marisamy, Tomoaki Namioka, & Kunio Yoshikawa. (2009). Characteristics of co-combustion and kinetic study on hydrothermally treated municipal solid waste with different rank coals: A thermogravimetric analysis. Applied Energy. 87(1). 141–148. 142 indexed citations
8.
Muthuraman, Marisamy, Tomoaki Namioka, & Kunio Yoshikawa. (2009). A comparison of co-combustion characteristics of coal with wood and hydrothermally treated municipal solid waste. Bioresource Technology. 101(7). 2477–2482. 101 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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