K.N. Rai

1.2k total citations
41 papers, 997 citations indexed

About

K.N. Rai is a scholar working on Mechanics of Materials, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, K.N. Rai has authored 41 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanics of Materials, 18 papers in Biomedical Engineering and 12 papers in Mechanical Engineering. Recurrent topics in K.N. Rai's work include Thermoelastic and Magnetoelastic Phenomena (22 papers), Nanofluid Flow and Heat Transfer (17 papers) and Fractional Differential Equations Solutions (12 papers). K.N. Rai is often cited by papers focused on Thermoelastic and Magnetoelastic Phenomena (22 papers), Nanofluid Flow and Heat Transfer (17 papers) and Fractional Differential Equations Solutions (12 papers). K.N. Rai collaborates with scholars based in India and Türkiye. K.N. Rai's co-authors include Dinesh Kumar, Pappu Kumar, Jitendra Singh, Dinesh Kumar, Praveen Kumar Gupta, Praveen Kumar Gupta, Jitendra Singh, Subrahamanyam Upadhyay, Vikas Chaurasiya and Rajeev Rajeev and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Applied Mathematics and Computation and International Journal of Engineering Science.

In The Last Decade

K.N. Rai

41 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.N. Rai India 21 709 410 253 242 172 41 997
B. Mochnacki Poland 17 462 0.7× 119 0.3× 303 1.2× 16 0.1× 67 0.4× 110 791
Yu‐Ching Yang Taiwan 17 290 0.4× 123 0.3× 206 0.8× 11 0.0× 6 0.0× 57 710
Vít Průša Czechia 12 95 0.1× 241 0.6× 65 0.3× 16 0.1× 6 0.0× 42 453
Radhey S. Gupta India 10 59 0.1× 60 0.1× 93 0.4× 35 0.1× 6 0.0× 20 430
C. Calderón-Ramón Mexico 11 103 0.1× 68 0.2× 45 0.2× 237 1.0× 3 0.0× 29 476
П. Е. Товстик Russia 12 378 0.5× 82 0.2× 127 0.5× 9 0.0× 9 0.1× 97 543
Michał Ciałkowski Poland 15 226 0.3× 38 0.1× 219 0.9× 12 0.0× 3 0.0× 43 475
Yen-Liang Yeh Taiwan 13 165 0.2× 151 0.4× 144 0.6× 29 0.1× 3 0.0× 36 577
Roberto Gianni Italy 13 196 0.3× 53 0.1× 33 0.1× 16 0.1× 2 0.0× 49 474

Countries citing papers authored by K.N. Rai

Since Specialization
Citations

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

Fields of papers citing papers by K.N. Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.N. Rai

This figure shows the co-authorship network connecting the top 25 collaborators of K.N. Rai. A scholar is included among the top collaborators of K.N. Rai 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.N. Rai. K.N. Rai 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.
Kumar, Dinesh, et al.. (2024). Wavelet collocation solution for fully wet semi-spherical porous fin. Partial Differential Equations in Applied Mathematics. 13. 101012–101012. 1 indexed citations
2.
Rai, K.N., et al.. (2022). A numerical study of moving boundary problem involving dual phase lag model of heat mass transfer during immersion frying. Mathematics and Computers in Simulation. 202. 79–100. 2 indexed citations
3.
Chaurasiya, Vikas, K.N. Rai, & Jitendra Singh. (2021). A study of solidification on binary eutectic system with moving phase change material. Thermal Science and Engineering Progress. 25. 101002–101002. 26 indexed citations
4.
5.
Rai, K.N., et al.. (2020). A study of fractional order dual-phase-lag bioheat transfer model. Journal of Thermal Biology. 93. 102661–102661. 29 indexed citations
6.
Kumar, Mukesh, Subrahamanyam Upadhyay, & K.N. Rai. (2019). A study of heat transfer during cryosurgery of lung cancer. Journal of Thermal Biology. 84. 53–73. 13 indexed citations
7.
Kumar, Mukesh, Subrahamanyam Upadhyay, & K.N. Rai. (2018). A study of cryosurgery of lung cancer using Modified Legendre wavelet Galerkin method. Journal of Thermal Biology. 78. 356–366. 16 indexed citations
8.
Kumar, Dinesh, et al.. (2018). Verified non-linear DPL model with experimental data for analyzing heat transfer in tissue during thermal therapy. International Journal of Thermal Sciences. 133. 320–329. 35 indexed citations
9.
Kumar, Dinesh & K.N. Rai. (2017). Numerical simulation of time fractional dual-phase-lag model of heat transfer within skin tissue during thermal therapy. Journal of Thermal Biology. 67. 49–58. 54 indexed citations
10.
Kumar, Dinesh, Pappu Kumar, & K.N. Rai. (2017). Numerical solution of non-linear dual-phase-lag bioheat transfer equation within skin tissues. Mathematical Biosciences. 293. 56–63. 37 indexed citations
11.
Yadav, Sarita, Subrahamanyam Upadhyay, & K.N. Rai. (2017). Legendre Wavelet Modified Petrov–Galerkin Method in Two-Dimensional Moving Boundary Problem. Zeitschrift für Naturforschung A. 73(1). 23–34. 11 indexed citations
12.
Kumar, Pappu, Dinesh Kumar, & K.N. Rai. (2016). Numerical simulation of dual-phase-lag bioheat transfer model during thermal therapy. Mathematical Biosciences. 281. 82–91. 34 indexed citations
13.
Kumar, Dinesh, Pappu Kumar, & K.N. Rai. (2016). A study on DPL model of heat transfer in bi-layer tissues during MFH treatment. Computers in Biology and Medicine. 75. 160–172. 36 indexed citations
14.
Kumar, Dinesh & K.N. Rai. (2016). A study on thermal damage during hyperthermia treatment based on DPL model for multilayer tissues using finite element Legendre wavelet Galerkin approach. Journal of Thermal Biology. 62(Pt B). 170–180. 62 indexed citations
15.
Rai, K.N., et al.. (2016). Fractional single-phase-lagging heat conduction model for describing anomalous diffusion. Propulsion and Power Research. 5(1). 45–54. 4 indexed citations
16.
Kumar, Pappu, Dinesh Kumar, & K.N. Rai. (2016). Non-linear dual-phase-lag model for analyzing heat transfer phenomena in living tissues during thermal ablation. Journal of Thermal Biology. 60. 204–212. 26 indexed citations
17.
Kumar, Pappu, Dinesh Kumar, & K.N. Rai. (2015). A numerical study on dual-phase-lag model of bio-heat transfer during hyperthermia treatment. Journal of Thermal Biology. 49-50. 98–105. 113 indexed citations
18.
Rai, K.N., et al.. (2015). Numerical solution of FSPL heat conduction equation for analysis of thermal propagation. Applied Mathematics and Computation. 273. 1006–1017. 10 indexed citations
19.
Singh, Jitendra, Praveen Kumar Gupta, & K.N. Rai. (2011). Solution of fractional bioheat equations by finite difference method and HPM. Mathematical and Computer Modelling. 54(9-10). 2316–2325. 59 indexed citations
20.
Singh, Jitendra, Praveen Kumar Gupta, & K.N. Rai. (2010). Homotopy perturbation method to space–time fractional solidification in a finite slab. Applied Mathematical Modelling. 35(4). 1937–1945. 28 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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