Naeem Ullah

65 papers receiving 1.5k citations

Peers

Naeem Ullah
Comparison fields: 5 of 55
  • Modeling and Simulation 153
  • Computational Mechanics 691
  • Statistical and Nonlinear Physics 325
  • Biomedical Engineering 1.0k
  • Mechanical Engineering 865
Replace S. S. Nourazar with:
S. S. Nourazar Iran
W. Wang China
Assmaa Abd‐Elmonem Saudi Arabia
A.S. Alqahtani Saudi Arabia
Piotr Skrzypacz Kazakhstan
I. S. Shivakumara India
M. Emin Erdoğan Türkiye
Da Yu Tzou United States
Andreas G. Class Germany
Jianying Zhang China
Naeem Ullah relative to S. S. Nourazar Iran S. S. Nourazar's profile →
Citations per field
00.5×
S. S. Nourazar · 1×
Citations per year

Countries citing papers authored by Naeem Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Naeem Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 201790
3 202084
4 201780
5 202478
6 201967
7 201764
8 202063
9 202057
10 202051
11 202050
12 202148
13 201747
14 201746
15 202041
16 202028
17 202026
18 202025
19 201925
20 201624

About Naeem Ullah

Naeem Ullah is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (41 papers), Heat Transfer Mechanisms (26 papers), Fluid Dynamics and Turbulent Flows (18 papers), Heat Transfer and Optimization (16 papers), Nonlinear Waves and Solitons (16 papers), Nonlinear Photonic Systems (12 papers), Fractional Differential Equations Solutions (9 papers) and Solar Thermal and Photovoltaic Systems (4 papers). The work is most often cited by research in Modeling and Simulation (153 citations), Computational Mechanics (691 citations), Statistical and Nonlinear Physics (325 citations), Biomedical Engineering (1.0k citations) and Mechanical Engineering (865 citations). Naeem Ullah has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include S. Nadeem, Hamood Ur Rehman, Muhammad Ramzan, Jae Dong Chung, Arif Ullah Khan, Muhammad Imran, Shafiq Ahmad, Dianchen Lu, Muhammad Imran Asjad and Umer Farooq. Their work appears in journals such as Physics of Fluids, International Communications in Heat and Mass Transfer, Case Studies in Thermal Engineering, Numerical Methods for Partial Differential Equations and Scientific Reports.

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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