R. S. Varun Kumar

2.6k total citations · 3 hit papers
74 papers, 2.0k citations indexed

About

R. S. Varun Kumar is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, R. S. Varun Kumar has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Mechanical Engineering, 50 papers in Biomedical Engineering and 27 papers in Computational Mechanics. Recurrent topics in R. S. Varun Kumar's work include Nanofluid Flow and Heat Transfer (50 papers), Heat Transfer Mechanisms (49 papers) and Heat Transfer and Optimization (45 papers). R. S. Varun Kumar is often cited by papers focused on Nanofluid Flow and Heat Transfer (50 papers), Heat Transfer Mechanisms (49 papers) and Heat Transfer and Optimization (45 papers). R. S. Varun Kumar collaborates with scholars based in India, Saudi Arabia and Malaysia. R. S. Varun Kumar's co-authors include B. C. Prasannakumara, R. J. Punith Gowda, R. Naveen Kumar, G. Sowmya, Umair Khan, Pudhari Srilatha, K.V. Nagaraja, J. K. Madhukesh, Fehmi Gamaoun and K. Karthik and has published in prestigious journals such as Scientific Reports, Chemical Physics Letters and Applied Thermal Engineering.

In The Last Decade

R. S. Varun Kumar

71 papers receiving 1.9k citations

Hit Papers

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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.

Role of ternary hybrid nanofluid in the thermal distribution of a dovetail fin with the internal generation of heat

2022 177 citations Pudhari Srilatha, R. S. Varun Kumar et al. Case Studies in Thermal Engineering profile →
Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method

2024 54 citations K. Chandan, Rania Saadeh et al. profile →
Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

2024 39 citations R. S. Varun Kumar, K. Chandan et al. Physica Scripta profile →

Peers

Countries citing papers authored by R. S. Varun Kumar

Since Specialization

Citations

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

Fields of papers citing papers by R. S. Varun Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Varun Kumar. 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 R. S. Varun Kumar. The network helps show where R. S. Varun Kumar may publish in the future.

Co-authorship network of co-authors of R. S. Varun Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Varun Kumar. A scholar is included among the top collaborators of R. S. Varun Kumar 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 R. S. Varun Kumar. R. S. Varun Kumar 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

#	Work	Indexed citations
1	Harnessing the potential of artificial neural networks to study autocatalytic chemical reaction effects on the flow dynamics of Boger fluid squeezed between two parallel disks 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), R. S. Varun Kumar, K. Chandan, Fehmi Gamaoun	1
2	Nonsimilar Solutions for Williamson Nanofluid Flow Influenced by Chemical Reactions due to Generated and Absorbed Heat by Finite Element Method 2025 ·NANO ·K. Vinutha, R. S. Varun Kumar, (unknown), (unknown), Jasgurpreet Singh Chohan, Amal Abdulrahman	3
3	Comprehensive analysis on the thermal performance of circular-perforated rectangular fin with internal heat generation using Chelyshkov polynomial operational matrix-based collocation approach 2025 ·International Journal of Mechanics and Materials in Design ·R. S. Varun Kumar, (unknown), Mavinakere Eshwaraiah Raghunandan, Amal Abdulrahman, R. Naveen Kumar	1
4	Shape factor effect on the thermal variation of a wavy fin wetted by ternary hybrid nanofluid using an extended physics-informed Laguerre neural network 2025 ·Neural Computing and Applications ·R. S. Varun Kumar, G. Sowmya, C. Prakash, K. Chandan, B. C. Prasannakumara	0
5	A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions 2024 ·ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik ·K. Chandan, Pudhari Srilatha, (unknown), (unknown), K.V. Nagaraja, R. S. Varun Kumar, Nehad Ali Shah	16
6	Predictive modeling through physics‐informed neural networks for analyzing the thermal distribution in the partially wetted wavy fin 2024 ·ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik ·K. Karthik, G. Sowmya, Naman Sharma, K. Chandan, R. S. Varun Kumar, (unknown), Taseer Muhammad, Harjot Singh Gill	14
7	Physics-informed Hermite neural networks for wetted porous fin under the local thermal non-equilibrium condition: application of clique polynomial method 2024 ·The European Physical Journal Special Topics ·K. Chandan, K. Karthik, K.V. Nagaraja, Naman Sharma, R. S. Varun Kumar, Taseer Muhammad	1
8	Computational analysis of water-based silver, copper, and alumina hybrid nanoparticles over a stretchable sheet embedded in a porous medium with thermophoretic particle deposition effects 2024 ·Nanotechnology Reviews ·K. Karthik, Rania Saadeh, R. S. Varun Kumar, Ahmad Qazza, J. K. Madhukesh, Umair Khan, Anuar Ishak, Md Irfanul Haque Siddiqui	32
9	Optimized physics-informed neural network for analyzing the radiative-convective thermal performance of an inclined wavy porous fin 2024 ·Case Studies in Thermal Engineering ·K. Chandan, Pudhari Srilatha, K. Karthik, Mavinakere Eshwaraiah Raghunandan, K.V. Nagaraja, E. A. Gopalakrishnan, R. S. Varun Kumar, Fehmi Gamaoun	3
10	Role of catalytic reactions in a flow-induced due to outer stationary and inner stretched coaxial cylinders: An application of Probabilists’ Hermite collocation method 2024 ·Case Studies in Thermal Engineering ·J. Madhu, Rania Saadeh, K. Karthik, R. S. Varun Kumar, (unknown), (unknown), R. J. Punith Gowda, Umair Khan, Amal Abdulrahman, M. Modather M. Abdou	30
11	Transient Thermal Distribution in a Wavy Fin Using Finite Difference Approximation Based Physics Informed Neural Network 2024 ·Computer Modeling in Engineering & Sciences ·(unknown), Badr Saad T. Alkahtani, Chandan Kumar, R. S. Varun Kumar	4
12	Three-dimensional transient multilayer heat conduction sphere comprising metallic particles 2024 ·Physica Scripta ·Saima Riasat, Muhammad Ramzan, Saad Alshahrani, R. S. Varun Kumar, K. Chandan	1
13	Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine 2023 ·Physica Scripta ·(unknown), K. Chandan, K. Karthik, Sriram Devanathan, R. S. Varun Kumar, K.V. Nagaraja, B. C. Prasannakumara	46
14	Effect of Nanoparticle Diameter in Maxwell Nanofluid Flow with Thermophoretic Particle Deposition 2023 ·Mathematics ·Pudhari Srilatha, Hanaa Abu-Zinadah, R. S. Varun Kumar, M. D. Alsulami, R. Naveen Kumar, Amal Abdulrahman, R. J. Punith Gowda	32
15	Designing a solid–fluid interface layer and artificial neural network in a nanofluid flow due to rotating rough and porous disk 2023 ·Journal of Thermal Analysis and Calorimetry ·Pudhari Srilatha, R. J. Punith Gowda, J. Madhu, K.V. Nagaraja, Fehmi Gamaoun, R. S. Varun Kumar, K. Karthik	74
16	Inspection of thermal distribution through a porous fin of triangular profile with internal heat generation and electromagnetic field 2022 ·Waves in Random and Complex Media ·R. S. Varun Kumar, G. Sowmya, (unknown), B. C. Prasannakumara, Sabir Ali Shehzad	10
17	Significance of Convection and Internal Heat Generation on the Thermal Distribution of a Porous Dovetail Fin with Radiative Heat Transfer by Spectral Collocation Method 2022 ·Micromachines ·G. Sowmya, Maha M. A. Lashin, M. Ijaz Khan, R. S. Varun Kumar, (unknown), B. C. Prasannakumara, Kamel Guedri, Omar T. Bafakeeh, Sayed M. Eldin, Ahmed M. Galal	16
18	Energy transfer of a fin wetted with ZnO-SAE 50 nanolubricant:An application of α-parameterized differential transform method 2022 ·Case Studies in Thermal Engineering ·Fehmi Gamaoun, Nejla Mahjoub Saïd, (unknown), R. S. Varun Kumar, G. Sowmya, B. C. Prasannakumara, Rajesh Kumar	15
19	Role of ternary hybrid nanofluid in the thermal distribution of a dovetail fin with the internal generation of heat breakdown → 2022 ·Case Studies in Thermal Engineering ·(unknown), Pudhari Srilatha, R. S. Varun Kumar, (unknown), Umair Khan, Zehba Raizah, Harjot Singh Gill, Ahmed M. Galal	177
20	Significance of Buongiorno Model and Arrhenius Pre-exponential Factor Law to Entropy Optimized Darcy Forchheimer Hybrid Nanoparticle (Al₂O₃, Cu) Flow Over Thin Needle 2021 ·Journal of Magnetics ·Sachin Shaw, (unknown), M.K. Nayak, J. K. Madhukesh, R. S. Varun Kumar, Shahid Farooq, M.Y. Malik	13

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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