Naeem Faraz

63 papers receiving 1.4k citations

Peers

Naeem Faraz
Comparison fields: 5 of 90
  • Modeling and Simulation 712
  • Numerical Analysis 357
  • Statistical and Nonlinear Physics 332
  • Computational Mechanics 350
  • Biomedical Engineering 673
Replace Hamid M. Sedighi with:
Hamid M. Sedighi Iran
Zubair Ahmad Pakistan
Humaira Yasmin Saudi Arabia
Nicole Heymans Belgium
Weipeng Hu China
Tarsicio Beléndez Spain
Ulisse Stefanelli Italy
Sayed M. El Din Egypt
Muhammad Usman China
M. M. Khader Egypt
Naeem Faraz relative to Hamid M. Sedighi Iran Hamid M. Sedighi's profile →
Citations per field
00.5×2.6×
Hamid M. Sedighi · 1×
Citations per year

Countries citing papers authored by Naeem Faraz

Since Specialization
Citations

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

Fields of papers citing papers by Naeem Faraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naeem Faraz, 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 Naeem Faraz Line = papers co-authored together Naeem Faraz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012161
2 2011136
3 2011101
4 201064
5 201263
6 201155
7 201150
8 201148
9 201048
10 201246
11 201044
12 201039
13 201133
14 201230
15 201029
16 202028
17 201127
18 202127
19 201025
20 201224

About Naeem Faraz

Naeem Faraz is a scholar working on Modeling and Simulation, Biomedical Engineering, Numerical Analysis, Computational Mechanics and Mechanical Engineering, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (38 papers), Nanofluid Flow and Heat Transfer (26 papers), Iterative Methods for Nonlinear Equations (14 papers), Rheology and Fluid Dynamics Studies (11 papers), Heat Transfer Mechanisms (9 papers), Nonlinear Waves and Solitons (9 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Heat Transfer and Optimization (6 papers). The work is most often cited by research in Modeling and Simulation (712 citations), Numerical Analysis (357 citations), Statistical and Nonlinear Physics (332 citations), Computational Mechanics (350 citations) and Biomedical Engineering (673 citations). Naeem Faraz has collaborated with scholars based in China, Saudi Arabia and Türkiye. Frequent co-authors include Yasir Khan, Ahmet Yıldırım, Qingbiao Wu, Mohammad Madani, Hai-Yan Kong, Ji‐Huan He, Chao Feng, Liang Wang, Ruirui Yang and Hao Dou. Their work appears in journals such as Journal of King Saud University - Science, Computers & Mathematics with Applications, International Journal of Numerical Methods for Heat & Fluid Flow, Applied Mathematics Letters and Alexandria Engineering Journal.

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