M. Riaz

21 papers receiving 320 citations

Peers

M. Riaz
Comparison fields: 5 of 44
  • Energy Engineering and Power Technology 16
  • Renewable Energy, Sustainability and the Environment 78
  • Control and Systems Engineering 79
  • Computational Mechanics 69
  • Electrical and Electronic Engineering 168
Replace Frank Cziesla with:
Frank Cziesla Germany
W. F. Stoecker United States
Farzaneh Hajabdollahi United States
Tijs Van Oevelen Belgium
Amr Amin Egypt
Yaman Manaserh United States
Yun-Chao Xu China
Adriano Desideri Belgium
Pooya Hoseinpoori United Kingdom
M. Riaz relative to Frank Cziesla Germany Frank Cziesla's profile →
Citations per field
00.5×4.8×
Frank Cziesla · 1×
Citations per year

Countries citing papers authored by M. Riaz

Since Specialization
Citations

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

Fields of papers citing papers by M. Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197767
2 197842
3 202140
4 202236
5 195634
6 197627
7 195916
8 202114
9 201812
10 19748
11 20247
12 19777
13 20225
14 19763
15 19703
16
Large-scale thermal storage in rock - Construction, utilization, and economics
19772
17
A theory of concentrators of solar energy on a central receiver for electric power generation
19752
18 19592
19
Distribution of Complex Chemicals in Oil-Water Systems
20112
20 19851

About M. Riaz

M. Riaz is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Electric Power System Optimization (4 papers), Real-time simulation and control systems (4 papers), Photovoltaic System Optimization Techniques (3 papers), Solar Thermal and Photovoltaic Systems (3 papers), Adsorption and Cooling Systems (3 papers), Caching and Content Delivery (2 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (16 citations), Renewable Energy, Sustainability and the Environment (78 citations), Control and Systems Engineering (79 citations), Computational Mechanics (69 citations) and Electrical and Electronic Engineering (168 citations). M. Riaz has collaborated with scholars based in United States, Pakistan and South Korea. Frequent co-authors include Asif Hanif, Shaik Javeed Hussain, Irshad Hussain, Muhammad Umair Ali, Muhammad Naeem, Sadiq Ahmad, Amad Zafar, Lucian Mihet‐Popa, Kamran Afaq and Byeong-Gwon Kang. Their work appears in journals such as Solar Energy, Energies, Archives of Biochemistry and Biophysics, Journal of the Franklin Institute and Applied Sciences.

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