K.V. Nagaraja

1.4k total citations · 1 hit paper
103 papers, 1.1k citations indexed

About

K.V. Nagaraja is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, K.V. Nagaraja has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Mechanics, 39 papers in Mechanical Engineering and 34 papers in Biomedical Engineering. Recurrent topics in K.V. Nagaraja's work include Nanofluid Flow and Heat Transfer (32 papers), Heat Transfer Mechanisms (27 papers) and Fluid Dynamics and Turbulent Flows (23 papers). K.V. Nagaraja is often cited by papers focused on Nanofluid Flow and Heat Transfer (32 papers), Heat Transfer Mechanisms (27 papers) and Fluid Dynamics and Turbulent Flows (23 papers). K.V. Nagaraja collaborates with scholars based in India, Saudi Arabia and Malaysia. K.V. Nagaraja's co-authors include H.T. Rathod, R. S. Varun Kumar, K. Chandan, Umair Khan, J. K. Madhukesh, K. Karthik, Pudhari Srilatha, Fehmi Gamaoun, T Smitha and B. C. Prasannakumara and has published in prestigious journals such as Scientific Reports, IEEE Access and Energy.

In The Last Decade

K.V. Nagaraja

95 papers receiving 1.0k citations

Hit Papers

Impacts of thermophoretic deposition and thermal radiatio... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.V. Nagaraja India 19 564 527 510 116 103 103 1.1k
M. Gorji Iran 15 585 1.0× 444 0.8× 414 0.8× 33 0.3× 84 0.8× 45 1.0k
Joaquín Zueco Spain 25 1.3k 2.2× 1.1k 2.0× 896 1.8× 90 0.8× 65 0.6× 82 1.7k
Mingtian Xu China 26 512 0.9× 390 0.7× 1.2k 2.4× 595 5.1× 66 0.6× 82 2.2k
Michael Bartoň Spain 22 253 0.4× 694 1.3× 635 1.2× 153 1.3× 247 2.4× 68 1.4k
Ke‐Qin Zhu China 23 334 0.6× 472 0.9× 540 1.1× 169 1.5× 118 1.1× 89 1.3k
C. Y. Wang United States 16 1.2k 2.1× 1.1k 2.1× 892 1.7× 57 0.5× 52 0.5× 73 1.6k
Igor V. Shevchuk Ukraine 26 992 1.8× 1.3k 2.5× 1.3k 2.6× 48 0.4× 92 0.9× 115 1.9k
Balaram Kundu India 34 1.1k 2.0× 613 1.2× 2.3k 4.5× 260 2.2× 83 0.8× 140 2.9k
Ben Blackwell United States 8 180 0.3× 544 1.0× 620 1.2× 543 4.7× 68 0.7× 11 1.7k
Kailash C. Karki United States 17 153 0.3× 735 1.4× 475 0.9× 39 0.3× 91 0.9× 46 1.2k

Countries citing papers authored by K.V. Nagaraja

Since Specialization
Citations

This map shows the geographic impact of K.V. Nagaraja'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. Nagaraja 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. Nagaraja more than expected).

Fields of papers citing papers by K.V. Nagaraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K.V. Nagaraja. A scholar is included among the top collaborators of K.V. Nagaraja 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. Nagaraja. K.V. Nagaraja 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.
Nagaraja, K.V., et al.. (2025). Linear regression analysis of Williamson hybrid nanofluid flow with thermal radiation: Numerical simulation. International Journal of Thermofluids. 29. 101343–101343.
2.
Nagaraja, K.V., et al.. (2025). Combined effects of thermal radiation and thermophoretic particle deposition in stagnation point flow over Howarth’s wavy porous circular cylinder. International Journal of Thermofluids. 27. 101271–101271. 1 indexed citations
3.
Nagaraja, K.V., et al.. (2025). Thermal analysis of MHD non-Newtonian nanofluid flow across a Riga parallel plates with CattaneoChristov heat flux: A deep learning approach. International Journal of Thermofluids. 27. 101194–101194. 2 indexed citations
4.
Nagaraja, K.V., et al.. (2025). Endothermic and exothermic reactions and stagnation point nanofluid flow over a porous stretched surface with a revised Buongiorno model. South African Journal of Chemical Engineering. 52. 141–150. 4 indexed citations
5.
6.
Bira, B., et al.. (2024). Analysis of shock wave propagation in two-layered blood flow model via Lie symmetry. International Journal of Non-Linear Mechanics. 164. 104761–104761. 3 indexed citations
7.
Gowda, R. J. Punith, et al.. (2024). A scientific report on heat transfer analysis due to generated and absorbed heat over an oscillatory stretching sheet: a finite difference-based study. Scientific Reports. 14(1). 28149–28149. 1 indexed citations
8.
Chandan, K., et al.. (2024). A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 104(7). 16 indexed citations
9.
Nagaraja, K.V., et al.. (2024). Heat transfer analysis of TiO2-H2O based nanofluid flow across a porous stretching sheet with heat source/sink using Response Surface Methodology. Journal of Physics Conference Series. 2818(1). 12010–12010. 1 indexed citations
10.
Chandan, K., K. Karthik, K.V. Nagaraja, et al.. (2024). Physics-informed Hermite neural networks for wetted porous fin under the local thermal non-equilibrium condition: application of clique polynomial method. The European Physical Journal Special Topics. 234(8). 2503–2523. 1 indexed citations
11.
Nagaraja, K.V., et al.. (2024). Optimizing Cargo Ship Operational Costs: A Comprehensive Algorithmic Approach. 1–6. 1 indexed citations
12.
Srilatha, Pudhari, J. Madhu, Umair Khan, et al.. (2024). Thermophoretic diffusion deposition velocity effect in the flow-induced due to inner stretched and outer stationary coaxial cylinders. Case Studies in Thermal Engineering. 60. 104716–104716. 13 indexed citations
13.
Chandan, K., Pudhari Srilatha, K. Karthik, et al.. (2024). Optimized physics-informed neural network for analyzing the radiative-convective thermal performance of an inclined wavy porous fin. Case Studies in Thermal Engineering. 64. 105423–105423. 3 indexed citations
14.
Nagaraja, K.V., et al.. (2024). Behavior of suspended natural rubber balls in water at small Reynolds numbers. Modern Physics Letters B. 39(12).
15.
Chandan, K., et al.. (2023). Evaluation of wing performance for NACA 4415 using subparametric finite element transforms. Materials Today Proceedings. 2 indexed citations
16.
Madhukesh, J. K., K. Vinutha, K. Chandan, et al.. (2023). A Model Development for Thermal and Solutal Transport Analysis of Non-Newtonian Nanofluid Flow over a Riga Surface Driven by a Waste Discharge Concentration. Water. 15(16). 2879–2879. 41 indexed citations
17.
Chandan, K., K. Karthik, Sriram Devanathan, et al.. (2023). Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine. Physica Scripta. 99(1). 15225–15225. 46 indexed citations
18.
Nagaraja, K.V., et al.. (2014). Numerical integration over n-dimensional cubes using generalized gaussian quadrature. 17. 4 indexed citations
19.
Nagaraja, K.V., et al.. (2010). The Use of Parabolic Arc in Matching Curved Boundary by Point Transformations for Sextic Order Triangular Element. International Journal of Mathematical Analysis. 4. 6 indexed citations
20.
Nagaraja, K.V., et al.. (2010). Symmetric Gauss Legendre quadrature rules for numerical integration over an arbitrary linear tetrahedra in Euclidean three-dimensional space. International Journal of Mathematical Analysis. 4. 3 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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