Samia Riaz

592 citations
28 papers · 497 · h-index 14

Impact in

    • Fractional Differential Equations Solutions
    • Nanofluid Flow and Heat Transfer
    • Ultrasound and Hyperthermia Applications
    • Characterization and Applications of Magnetic Nanoparticles

Papers in

Samia Riaz

26 papers receiving 485 citations

Peers

Samia Riaz
Comparison fields: 5 of 69
  • Modeling and Simulation 131
  • Biomedical Engineering 392
  • Computational Mechanics 133
  • Biomaterials 73
  • Fluid Flow and Transfer Processes 33
Replace Jorge E. Gatica with:
Jorge E. Gatica United States
Hai-Yan Kong China
Adil Wahid Butt Pakistan
Hina Sadaf Pakistan
Sobia Noreen Pakistan
Shailesh Naire United Kingdom
Ramzy M. Abumandour Egypt
Matti Malinen Finland
S. V. K. Varma India
Samia Riaz relative to Jorge E. Gatica United States Jorge E. Gatica's profile →
Citations per field
00.5×8.5×
Jorge E. Gatica · 1×
Citations per year

Countries citing papers authored by Samia Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Samia Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 201958
3 202140
4 201940
5 202333
6 202031
7 202027
8 202227
9 202027
10 202024
11 202121
12 202218
13 202016
14 202114
15 202310
16 20229
17 20228
18 20167
19 20227
20 20246

About Samia Riaz

Samia Riaz is a scholar working on Biomedical Engineering, Modeling and Simulation, Computational Mechanics, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 497 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (21 papers), Fractional Differential Equations Solutions (13 papers), Heat Transfer Mechanisms (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Heat Transfer and Optimization (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Rheology and Fluid Dynamics Studies (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Biomedical Engineering (392 citations), Computational Mechanics (133 citations), Biomaterials (73 citations) and Fluid Flow and Transfer Processes (33 citations). Samia Riaz has collaborated with scholars based in Pakistan, South Africa and South Korea. Frequent co-authors include Qasim Ali, Aziz Ullah Awan, Kashif Ali Abro, Nehad Ali Shah, R. Jalil, Najma Ahmed, Ayesha Siddiqa, Sami Ullah Khan, Hoang-Quynh Le and Kamel Al‐Khaled. Their work appears in journals such as Ain Shams Engineering Journal, Journal of Thermal Analysis and Calorimetry, Journal of Thermal Biology, Journal of Magnetism and Magnetic Materials and Numerical Heat Transfer Part A Applications.

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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