Subrata Kumar Ghosh

3.0k total citations
121 papers, 2.4k citations indexed

About

Subrata Kumar Ghosh is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Subrata Kumar Ghosh has authored 121 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Mechanical Engineering, 55 papers in Biomedical Engineering and 37 papers in Mechanics of Materials. Recurrent topics in Subrata Kumar Ghosh's work include Nanofluid Flow and Heat Transfer (41 papers), Lubricants and Their Additives (28 papers) and Heat Transfer and Optimization (28 papers). Subrata Kumar Ghosh is often cited by papers focused on Nanofluid Flow and Heat Transfer (41 papers), Lubricants and Their Additives (28 papers) and Heat Transfer and Optimization (28 papers). Subrata Kumar Ghosh collaborates with scholars based in India, Saudi Arabia and Egypt. Subrata Kumar Ghosh's co-authors include Arun Kumar Tiwari, Vikas Kumar, Ankit Kotia, Naveen Kumar Gupta, Shiva Singh, Subrata Bhowmik, Rajsekhar Panua, Abhishek Paul, Durbadal Debroy and Sunil Sarangi and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy Conversion and Management and Energy.

In The Last Decade

Subrata Kumar Ghosh

113 papers receiving 2.4k citations

Peers

Subrata Kumar Ghosh
Mohammad Hadi Hajmohammad Iran
Afshin Ahmadi Nadooshan Iran
Nima Sina Iran
J. Enrique Juliá Spain
Christophe T’Joen Belgium
Bin Xu China
Zhouhang Li China
Mohammad Akbari Iran
B. Saleh Saudi Arabia
Liu Yang China
Mohammad Hadi Hajmohammad Iran
Subrata Kumar Ghosh
Citations per year, relative to Subrata Kumar Ghosh Subrata Kumar Ghosh (= 1×) peers Mohammad Hadi Hajmohammad

Countries citing papers authored by Subrata Kumar Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Kumar Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata Kumar Ghosh. 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 Subrata Kumar Ghosh. The network helps show where Subrata Kumar Ghosh may publish in the future.

Co-authorship network of co-authors of Subrata Kumar Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Kumar Ghosh. A scholar is included among the top collaborators of Subrata Kumar Ghosh 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 Subrata Kumar Ghosh. Subrata Kumar Ghosh 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.
Pandey, Harshit, Naveen Kumar Gupta, & Subrata Kumar Ghosh. (2025). Thermo-structural optimization of air-cooling battery thermoregulation system using surrogate modelling and NSGA-II. Thermal Science and Engineering Progress. 59. 103270–103270. 4 indexed citations
2.
Pandey, Anish, et al.. (2025). Lube oil life prediction for heavy earth moving machinery (HEMM): A machine learning approach. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 1 indexed citations
3.
Mausam, Kuwar, et al.. (2025). Experimental and numerical evaluation of the influence of a PCM-filled insert on the thermal performance of a spiral tube flat plate collector (SFPC). Journal of Thermal Analysis and Calorimetry. 150(21). 17507–17527. 1 indexed citations
4.
Kumar, Niranjan, Subrata Kumar Ghosh, Ankit Kotia, et al.. (2024). A multi-faceted review on industrial grade nanolubricants: Applications and rheological insights with global market forecast. Results in Engineering. 25. 103628–103628. 5 indexed citations
5.
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Jawahar, P., et al.. (2024). Mechanical and tribological assessment of PEEK and PEEK based polymer composites for artificial hip joints. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 115(10). 850–861. 7 indexed citations
7.
Mausam, Kuwar, Shiva Singh, Subrata Kumar Ghosh, & Ravindra Pratap Singh. (2024). Thermal performance modelling of solar flat plate parallel tube collector using ANN. Energy. 303. 131940–131940. 10 indexed citations
8.
Saha, Rajib, et al.. (2024). Effect of Quenching and Partitioning on Microstructure and Mechanical Properties of High-Carbon Nb Microalloyed Steel. Metallurgical and Materials Transactions A. 55(8). 2736–2755. 1 indexed citations
9.
Ghosh, Subrata Kumar, et al.. (2023). The heating effect on tribological behaviour in the hot rolling process using TiO2 oil-in-water emulsion - A comparative study. Powder Technology. 432. 119112–119112. 4 indexed citations
10.
Mausam, Kuwar, Shiva Singh, Subrata Kumar Ghosh, Ravindra Pratap Singh, & Arun Kumar Tiwari. (2023). Experimental analysis of the thermal performance of traditional parallel tube collector (PTC) and cutting-edge spiral tube collector (STC): A comparative study for sustainable solar energy harvesting. Thermal Science and Engineering Progress. 47. 102295–102295. 8 indexed citations
11.
Singh, Shiva, Sumit Kumar, & Subrata Kumar Ghosh. (2021). Development of a unique multi-layer perceptron neural architecture and mathematical model for predicting thermal conductivity of distilled water based nanofluids using experimental data. Colloids and Surfaces A Physicochemical and Engineering Aspects. 627. 127184–127184. 19 indexed citations
12.
Kumar, Vikas, et al.. (2021). Efficacy evaluation of oxide-MWCNT water hybrid nanofluids: An experimental and artificial neural network approach. Colloids and Surfaces A Physicochemical and Engineering Aspects. 620. 126562–126562. 52 indexed citations
13.
Kotia, Ankit, et al.. (2020). Kinematic Viscosity Prediction of Nanolubricants Employed in Heavy Earth Moving Machinery Using Machine Learning Techniques. International Journal of Precision Engineering and Manufacturing. 21(10). 1921–1932. 6 indexed citations
14.
Mausam, Kuwar, et al.. (2020). Solicitation of nanoparticles/fluids in solar thermal energy harvesting: A review. Materials Today Proceedings. 26. 2289–2295. 13 indexed citations
15.
Kotia, Ankit, et al.. (2020). MWCNT and graphene nanoparticles additives for energy efficiency in engine oil with regression modeling. Journal of Thermal Analysis and Calorimetry. 147(1). 73–93. 6 indexed citations
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17.
Kumar, Rahul, Mohammad Sikandar Azam, Subrata Kumar Ghosh, & Sanjay Yadav. (2018). 70 years of Elastohydrodynamic Lubrication (EHL): A Review on Experimental Techniques for Film Thickness and Pressure Measurement. MAPAN. 33(4). 481–491. 10 indexed citations
18.
Mishra, Kamlesh Kumar, Arvind Sharma, & Subrata Kumar Ghosh. (2018). Design of bond graph for human powered washing machine system. Journal of Emerging Technologies and Innovative Research. 5(12). 499-508–499-508.
19.
Kumar, Rahul, Subrata Kumar Ghosh, Mohammad Sikandar Azam, & Hasim Ali Khan. (2018). Numerical Simulation of Rough Thrust Pad Bearing Under Thin-Film Lubrication Using Variable Mesh Density. Iranian Journal of Science and Technology Transactions of Mechanical Engineering. 44(2). 443–464. 5 indexed citations
20.

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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