Arshad Riaz

3.3k citations
123 papers · 2.9k · h-index 29

Impact in

Papers in

Arshad Riaz

121 papers receiving 2.8k citations

Peers

Arshad Riaz
Comparison fields: 5 of 86
  • Computational Mechanics 1.7k
  • Fluid Flow and Transfer Processes 375
  • Biomedical Engineering 2.5k
  • Modeling and Simulation 173
  • Mechanical Engineering 1.4k
Replace Nabil T. Eldabe with:
Nabil T. Eldabe Egypt
Safia Akram Pakistan
Abid Hussanan Pakistan
Mohsan Hassan Pakistan
Sami Ullah Khan Pakistan
Nandalur Ameer Ahammad Saudi Arabia
Katta Ramesh India
M. Gnaneswara Reddy India
Muhammad Awais Pakistan
M. Irfan Pakistan
Arshad Riaz relative to Nabil T. Eldabe Egypt Nabil T. Eldabe's profile →
Citations per field
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Nabil T. Eldabe · 1×
Citations per year

Countries citing papers authored by Arshad Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 2014134
3 2019109
4 202091
5 201289
6 202088
7 202086
8 201976
9 202073
10 201972
11 201370
12 202160
13 202156
14 201455
15 201351
16 202050
17 201345
18 201345
19 202144
20 202341

About Arshad Riaz

Arshad Riaz is a scholar working on Computational Mechanics, Biomedical Engineering, Fluid Flow and Transfer Processes, Modeling and Simulation and Mechanical Engineering, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (113 papers), Heat Transfer Mechanisms (36 papers), Fluid Dynamics and Turbulent Flows (35 papers), Rheology and Fluid Dynamics Studies (19 papers), Heat Transfer and Optimization (19 papers), Fluid Dynamics and Vibration Analysis (17 papers), Lattice Boltzmann Simulation Studies (16 papers) and Fractional Differential Equations Solutions (15 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Fluid Flow and Transfer Processes (375 citations), Biomedical Engineering (2.5k citations), Modeling and Simulation (173 citations) and Mechanical Engineering (1.4k citations). Arshad Riaz has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include R. Ellahi, Sohail Nadeem, Muhammad Mubashir Bhatti, Ahmad zeeshan, Sadiq M. Sait, Noreen Sher Akbar, Sami Ullah Khan, Dr. Nouman Ijaz, Mohsen Sheikholeslami and Taseer Muhammad. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Case Studies in Thermal Engineering, Electrophoresis, International Journal of Ambient Energy and Journal of Porous Media.

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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