J. Madhu

608 total citations
27 papers, 477 citations indexed

About

J. Madhu is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, J. Madhu has authored 27 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 18 papers in Computational Mechanics and 18 papers in Mechanical Engineering. Recurrent topics in J. Madhu's work include Nanofluid Flow and Heat Transfer (21 papers), Heat Transfer Mechanisms (14 papers) and Fluid Dynamics and Turbulent Flows (12 papers). J. Madhu is often cited by papers focused on Nanofluid Flow and Heat Transfer (21 papers), Heat Transfer Mechanisms (14 papers) and Fluid Dynamics and Turbulent Flows (12 papers). J. Madhu collaborates with scholars based in India, Saudi Arabia and China. J. Madhu's co-authors include R. J. Punith Gowda, R. Naveen Kumar, R. S. Varun Kumar, B. C. Prasannakumara, K. Karthik, Pudhari Srilatha, K.V. Nagaraja, Badr Saad T. Alkahtani, Fehmi Gamaoun and K. Karthik and has published in prestigious journals such as Applied Thermal Engineering, Tribology International and Journal of Thermal Analysis and Calorimetry.

In The Last Decade

J. Madhu

24 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Madhu India 12 401 304 278 34 33 27 477
M. Zubair Akbar Qureshi Pakistan 14 479 1.2× 352 1.2× 300 1.1× 21 0.6× 37 1.1× 27 548
M. Faizan Pakistan 13 586 1.5× 408 1.3× 366 1.3× 18 0.5× 49 1.5× 46 640
Chenru Zhao China 13 372 0.9× 283 0.9× 524 1.9× 34 1.0× 97 2.9× 32 655
Poulomi De India 17 641 1.6× 443 1.5× 415 1.5× 24 0.7× 50 1.5× 50 660
Rama Subba Reddy Gorla United States 13 436 1.1× 355 1.2× 337 1.2× 15 0.4× 54 1.6× 43 564
Chuan-Chieh Liao Taiwan 12 286 0.7× 176 0.6× 504 1.8× 70 2.1× 20 0.6× 29 627
Jae Ryong Lee South Korea 12 361 0.9× 230 0.8× 390 1.4× 23 0.7× 25 0.8× 29 604
K. Chandan India 11 231 0.6× 227 0.7× 153 0.6× 23 0.7× 9 0.3× 35 376
Monisha Roy India 11 454 1.1× 328 1.1× 339 1.2× 11 0.3× 23 0.7× 19 513
S. Saranya United Arab Emirates 17 625 1.6× 496 1.6× 432 1.6× 14 0.4× 51 1.5× 33 676

Countries citing papers authored by J. Madhu

Since Specialization
Citations

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

Fields of papers citing papers by J. Madhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Madhu. 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 J. Madhu. The network helps show where J. Madhu may publish in the future.

Co-authorship network of co-authors of J. Madhu

This figure shows the co-authorship network connecting the top 25 collaborators of J. Madhu. A scholar is included among the top collaborators of J. Madhu 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 J. Madhu. J. Madhu 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
2.
Madhu, J., J. K. Madhukesh, Kottakkaran Sooppy Nisar, et al.. (2025). Influence of waste discharge concentration and quadratic thermal radiation over oblique stagnation point Boger hybrid nanofluid flow across a cylinder. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 105(3). 5 indexed citations
3.
Madhu, J., R. J. Punith Gowda, R. S. Varun Kumar, & B. C. Prasannakumara. (2025). Bioconvective flow of a fluid between a co-axial cylinder with the impact of activation energy: application of Hermite collocation method. Multidiscipline Modeling in Materials and Structures. 21(4). 959–994. 1 indexed citations
4.
Karthik, K., et al.. (2024). Impact of waste discharge concentration on fluid flow in inner stretched and outer stationary co-axial cylinders. Applied Thermal Engineering. 244. 122757–122757. 31 indexed citations
5.
Madhu, J., et al.. (2024). Design of boost inverter for solar PV applications. AIP conference proceedings. 3044. 50010–50010.
6.
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
7.
Madhu, J., R. Naveen Kumar, R. J. Punith Gowda, et al.. (2024). The magnetic dipole-induced ternary-hybrid nanofluid flow behavior along a vertical and horizontal wall under free, mixed, and forced convection. Numerical Heat Transfer Part A Applications. 86(9). 2866–2883. 10 indexed citations
8.
Madhu, J., Rania Saadeh, K. Karthik, et al.. (2024). Role of catalytic reactions in a flow-induced due to outer stationary and inner stretched coaxial cylinders: An application of Probabilists’ Hermite collocation method. Case Studies in Thermal Engineering. 56. 104218–104218. 30 indexed citations
9.
Madhukesh, J. K., J. Madhu, K. Chandan, et al.. (2024). Implementation of stacking regressor model on the flow induced by TiO2‐H2O and Ti6Al4V‐H2O nanofluid with waste discharge concentration. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 104(12). 2 indexed citations
10.
Madhu, J., et al.. (2024). Fluid sustainability by the effect of microrotational flow and chemical reactions in a vertical channel. International Journal of Modelling and Simulation. 45(6). 2225–2236. 3 indexed citations
12.
Alkahtani, Badr Saad T., et al.. (2024). Impact of chemical reactions that generate and absorb heat in the flow induced by a squeezing porous slider. Physica Scripta. 99(7). 75247–75247. 5 indexed citations
13.
Bai, Di, Noor Muhammad, Nehad Ali Shah, et al.. (2024). OpenFOAM simulation of turbulent flow in a complex dam structure. Indian Journal of Physics. 98(9). 3277–3286. 9 indexed citations
16.
Srilatha, Pudhari, R. J. Punith Gowda, J. Madhu, et al.. (2023). Designing a solid–fluid interface layer and artificial neural network in a nanofluid flow due to rotating rough and porous disk. Journal of Thermal Analysis and Calorimetry. 149(2). 867–878. 74 indexed citations
17.
Madhu, J., K. Vinutha, R. Naveen Kumar, et al.. (2023). Impact of solid–liquid interfacial layer in the nanofluid flow between stretching stationary disk and a rotating cone. Tribology International. 192. 109187–109187. 49 indexed citations
18.
Gowda, R. J. Punith, et al.. (2023). The impact of the heat source/sink on triple component magneto-convection in superposed porous and fluid system. Modern Physics Letters B. 38(7). 9 indexed citations
19.
Madhu, J., Jamel Baili, R. Naveen Kumar, B. C. Prasannakumara, & R. J. Punith Gowda. (2023). Multilayer neural networks for studying three-dimensional flow of non-Newtonian fluid flow with the impact of magnetic dipole and gyrotactic microorganisms. Physica Scripta. 98(11). 115228–115228. 43 indexed citations
20.
Sowmya, G., et al.. (2022). Performance analysis of a longitudinal fin under the influence of magnetic field using differential transform method with Pade approximant. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 102(11). 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026