J. Madhu

666 citations
27 papers · 525 · h-index 13

Impact in

Papers in

J. Madhu

26 papers receiving 520 citations

Peers

J. Madhu
Comparison fields: 5 of 43
  • Computational Mechanics 286
  • Biomedical Engineering 434
  • Mechanical Engineering 313
  • Fluid Flow and Transfer Processes 35
  • Modeling and Simulation 8
Replace M. Zubair Akbar Qureshi with:
M. Zubair Akbar Qureshi Pakistan
Bilal Ali China
Sidra Jubair China
M. Modather M. Abdou Egypt
Shaik Jakeer India
Rama Subba Reddy Gorla United States
K. Chandan India
A. A. Merrikh United States
M. Prakash India
M. Asif Memon Pakistan
J. Madhu relative to M. Zubair Akbar Qureshi Pakistan M. Zubair Akbar Qureshi's profile →
Citations per field
00.5×5.2×
M. Zubair Akbar Qureshi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside J. Madhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Madhu Line = papers co-authored together J. Madhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 202457
3 202350
4 202345
5 202340
6 202433
7 202431
8 202429
9 202424
10 202322
11 202419
12 202416
13 202412
14 202411
15 20249
16 20239
17 20237
18 20257
19 20246
20 20226

About J. Madhu

J. Madhu is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Civil and Structural Engineering and Ocean Engineering, having authored 27 papers that have together received 525 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (21 papers), Heat Transfer Mechanisms (14 papers), Fluid Dynamics and Turbulent Flows (12 papers), Heat Transfer and Optimization (6 papers), Solar Thermal and Photovoltaic Systems (2 papers), Particle Dynamics in Fluid Flows (2 papers), Heat and Mass Transfer in Porous Media (2 papers) and Iterative Methods for Nonlinear Equations (1 paper). The work is most often cited by research in Computational Mechanics (286 citations), Biomedical Engineering (434 citations), Mechanical Engineering (313 citations), Fluid Flow and Transfer Processes (35 citations) and Modeling and Simulation (8 citations). J. Madhu has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include R. J. Punith Gowda, R. Naveen Kumar, R. S. Varun Kumar, B. C. Prasannakumara, K. Karthik, Pudhari Srilatha, Fehmi Gamaoun, Badr Saad T. Alkahtani, K.V. Nagaraja and Samia Ben Ahmed. Their work appears in journals such as Numerical Heat Transfer Part A Applications, Case Studies in Thermal Engineering, Numerical Heat Transfer Part B Fundamentals, Tribology International and Nanoscale Advances.

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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