K.V. Sharma

8.7k total citations · 1 hit paper
170 papers, 7.4k citations indexed

About

K.V. Sharma is a scholar working on Mechanical Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, K.V. Sharma has authored 170 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Mechanical Engineering, 128 papers in Biomedical Engineering and 29 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in K.V. Sharma's work include Nanofluid Flow and Heat Transfer (120 papers), Heat Transfer Mechanisms (79 papers) and Heat Transfer and Optimization (75 papers). K.V. Sharma is often cited by papers focused on Nanofluid Flow and Heat Transfer (120 papers), Heat Transfer Mechanisms (79 papers) and Heat Transfer and Optimization (75 papers). K.V. Sharma collaborates with scholars based in India, Malaysia and Iran. K.V. Sharma's co-authors include L. Syam Sundar, Rizalman Mamat, W.H. Azmi, Praveen Kumar Kanti, K. Kadirgama, Manoj K. Singh, P. K. Sarma, Suleiman Akilu, R. A. Bakar and Adnan M. Husseın and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

K.V. Sharma

165 papers receiving 7.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hybrid nanofluids preparation, thermal properties, heat transfer and friction factor – A review

2016 455 citations L. Syam Sundar, K.V. Sharma et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.V. Sharma India	48	5.7k	5.3k	1.7k	1.2k	763	170	7.4k
Patrice Estellé France	44	4.3k 0.8×	3.6k 0.7×	1.4k 0.8×	1.2k 1.0×	644 0.8×	114	6.2k
S. Suresh India	54	5.9k 1.0×	8.2k 1.6×	2.7k 1.6×	2.1k 1.8×	681 0.9×	218	10.2k
K.C. Leong Singapore	37	3.7k 0.6×	4.8k 0.9×	1.1k 0.6×	2.2k 1.9×	682 0.9×	135	7.0k
L. Syam Sundar Portugal	53	7.0k 1.2×	6.0k 1.1×	2.7k 1.6×	1.4k 1.2×	940 1.2×	168	8.8k
I.M. Mahbubul Malaysia	39	3.6k 0.6×	3.3k 0.6×	1.5k 0.8×	469 0.4×	517 0.7×	65	5.1k
T. Sundararajan India	30	3.2k 0.6×	2.8k 0.5×	774 0.4×	1.3k 1.1×	575 0.8×	137	5.1k
Emad Sadeghinezhad Malaysia	38	2.9k 0.5×	2.6k 0.5×	1.2k 0.7×	591 0.5×	463 0.6×	47	4.5k
Mohsen Nasr Esfahany Iran	39	4.1k 0.7×	3.6k 0.7×	713 0.4×	1.4k 1.2×	659 0.9×	131	5.7k
Arun Kumar Tiwari India	43	3.5k 0.6×	4.5k 0.9×	2.1k 1.2×	444 0.4×	1.3k 1.6×	115	6.3k
M.M. Sarafraz Australia	56	4.4k 0.8×	4.8k 0.9×	1.2k 0.7×	1.1k 0.9×	352 0.5×	106	6.4k

Countries citing papers authored by K.V. Sharma

Since Specialization

Citations

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

Fields of papers citing papers by K.V. Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.V. Sharma. 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 K.V. Sharma. The network helps show where K.V. Sharma may publish in the future.

Co-authorship network of co-authors of K.V. Sharma

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

All Works

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20 of 20 papers shown

Sekhar, Y. Raja, K.V. Sharma, Praveen Kumar Kanti, et al.. (2025). Solar flat plate collectors with internally grooved absorber tubes for enhanced efficiency: Application of eXplainable artificial intelligence using cooperative game theory-based Shapley values. Case Studies in Thermal Engineering. 68. 105912–105912. 4 indexed citations

Sharma, K.V., et al.. (2025). Flow and heat transfer of Poly Dispersed SiO2 Nanoparticles in Aqueous Glycerol in a Horizontal pipe: Application of ensemble and evolutionary machine learning for model-prediction. PLoS ONE. 20(6). e0323347–e0323347.

Sharma, K.V., et al.. (2024). Comparative analysis of machine learning techniques for estimating dynamic viscosity in various nanofluids for improving the efficiency of thermal and radiative systems. SHILAP Revista de lepidopterología. 18(1). 101205–101205. 1 indexed citations

Akilu, Suleiman, K.V. Sharma, Aklilu Tesfamichael Baheta, Praveen Kumar Kanti, & Prabhu Paramasivam. (2024). Machine learning analysis of thermophysical and thermohydraulic properties in ethylene glycol- and glycerol-based SiO2 nanofluids. Scientific Reports. 14(1). 14829–14829. 11 indexed citations

Sundar, L. Syam, Sérgio M. O. Tavares, K.V. Sharma, & António B. Pereira. (2024). Second law efficiency and thermal entropy generation of 30:70% of glycerol + water based SiO2 nanofluids in a thermosyphon flat plate collector: Experimental and Bayesian artificial neural network algorithm. International Journal of Thermofluids. 25. 101013–101013. 1 indexed citations

Kanti, Praveen Kumar, V. Vicki Wanatasanappan, Prabhakar Sharma, Nejla Mahjoub Saïd, & K.V. Sharma. (2024). Experimental and machine learning insights on heat transfer and friction factor analysis of novel hybrid nanofluids subjected to constant heat flux at various mixture ratios. International Journal of Thermal Sciences. 209. 109548–109548. 17 indexed citations

Azmi, W.H., et al.. (2023). Extensive Stability Assessment of TiO2/Polyvinyl Ether Nanolubricant with Physical Homogenization. Lubricants. 11(2). 67–67. 3 indexed citations

Kanti, Praveen Kumar, Prabhakar Sharma, K.V. Sharma, & M.P. Maiya. (2023). The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications: Application of novel machine learning technique. Journal of Energy Chemistry. 82. 359–374. 84 indexed citations

Azmi, W.H., et al.. (2023). Stability Assessment of Polyvinyl-Ether-Based TiO2, SiO2, and Their Hybrid Nanolubricants. Lubricants. 11(1). 23–23. 9 indexed citations

10.

Sharma, K.V., et al.. (2022). Thermal conductivity and viscosity of glycerine-water based Cu-SiO2 hybrid nanofluids. Materials Today Proceedings. 66. 1823–1829. 10 indexed citations

11.

Kanti, Praveen Kumar, et al.. (2021). Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model. Particulate Science And Technology. 40(2). 182–195. 41 indexed citations

12.

Kanti, Praveen Kumar, et al.. (2021). Experimental and computational determination of heat transfer, entropy generation and pressure drop under turbulent flow in a tube with fly ash-Cu hybrid nanofluid. International Journal of Thermal Sciences. 167. 107016–107016. 71 indexed citations

13.

Narayanaswamy, Krithika, et al.. (2021). Effect of Temperature and Nanoparticle Concentration on the Viscosity of Glycerine-water based SiO2 Nanofluids. International Journal of Recent Technology and Engineering (IJRTE). 10(4). 111–116. 4 indexed citations

14.

Sharma, K.V., et al.. (2020). Influence of nanofluid properties on turbulent forced convection heat transfer in different base liquids. Mathematical Methods in the Applied Sciences. 49(6). 4759–4780. 6 indexed citations

15.

Hassan, Suhaimi, et al.. (2020). Effect of base fluids on thermo‐physical properties of SiO ₂ nanofluids and development of new correlations. Mathematical Methods in the Applied Sciences. 49(6). 5016–5034. 8 indexed citations

16.

Cherecheş, Elena Ionela, K.V. Sharma, & Alina Adriana Minea. (2018). A numerical approach in describing ionanofluids behavior in laminar and turbulent flow. Continuum Mechanics and Thermodynamics. 30(3). 657–666. 28 indexed citations

17.

Akilu, Suleiman, Aklilu Tesfamichael Baheta, K.V. Sharma, & Mior A. Said. (2017). Experimental determination of nanofluid specific heat with SiO2 nanoparticles in different base fluids. AIP conference proceedings. 1880. 90001–90001. 44 indexed citations

18.

Sharma, K.V., et al.. (2015). Theoretical analysis of heat transfer and friction factor for turbulent flow of nanofluids through pipes. The Canadian Journal of Chemical Engineering. 94(3). 565–575. 15 indexed citations

19.

Sekhar, Y. Raja, K.V. Sharma, & Subhash Kamal. (2015). Nanofluid heat transfer under mixed convection flow in a tube for solar thermal energy applications. Environmental Science and Pollution Research. 23(10). 9411–9417. 12 indexed citations

20.

Husseın, Adnan M., et al.. (2013). EXPERIMENTAL MEASUREMENT OF NANOFLUIDS THERMAL PROPERTIES. SHILAP Revista de lepidopterología. 15 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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