Muhammad Riaz

5.3k total citations · 2 hit papers
211 papers, 3.9k citations indexed

About

Muhammad Riaz is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Muhammad Riaz has authored 211 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Management Science and Operations Research, 60 papers in Computational Theory and Mathematics and 56 papers in Control and Systems Engineering. Recurrent topics in Muhammad Riaz's work include Multi-Criteria Decision Making (143 papers), Fuzzy and Soft Set Theory (69 papers) and Optimization and Mathematical Programming (53 papers). Muhammad Riaz is often cited by papers focused on Multi-Criteria Decision Making (143 papers), Fuzzy and Soft Set Theory (69 papers) and Optimization and Mathematical Programming (53 papers). Muhammad Riaz collaborates with scholars based in Pakistan, Saudi Arabia and Serbia. Muhammad Riaz's co-authors include Hafiz Muhammad Athar Farid, Masooma Raza Hashmi, Syeda Tayyba Tehrim, Dragan Pamučar, Muhammad Aslam, Khalid Naeem, Deeba Afzal, Yu‐Ming Chu, Ronnason Chinram and Florentín Smarandache and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Muhammad Riaz

198 papers receiving 3.8k citations

Hit Papers

Linear Diophantine fuzzy set and its applications towards... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Riaz Pakistan 35 3.1k 1.2k 1.1k 692 624 211 3.9k
Xunjie Gou China 33 3.2k 1.0× 1.2k 1.0× 863 0.8× 540 0.8× 1.1k 1.7× 89 4.3k
Ligang Zhou China 35 3.5k 1.1× 931 0.8× 1.3k 1.2× 1.0k 1.5× 971 1.6× 169 4.2k
Tapan Senapati China 29 3.3k 1.1× 797 0.7× 1.3k 1.2× 699 1.0× 737 1.2× 146 4.0k
Kifayat Ullah Pakistan 30 3.1k 1.0× 789 0.7× 1.4k 1.3× 827 1.2× 619 1.0× 124 3.9k
Jiu-Ying Dong China 39 3.3k 1.1× 745 0.6× 1.3k 1.2× 762 1.1× 994 1.6× 117 4.0k
Zeeshan Ali Pakistan 28 2.7k 0.9× 811 0.7× 1.3k 1.2× 743 1.1× 613 1.0× 174 3.2k
Shahzaib Ashraf Pakistan 30 2.9k 0.9× 817 0.7× 1.3k 1.2× 795 1.1× 469 0.8× 131 3.4k
José Carlos R. Alcantud Spain 41 3.7k 1.2× 2.2k 1.9× 773 0.7× 518 0.7× 716 1.1× 179 4.5k
Xiaolu Zhang China 20 3.2k 1.1× 1.1k 0.9× 1.4k 1.3× 961 1.4× 550 0.9× 45 3.7k
Saleem Abdullah Pakistan 42 5.1k 1.7× 1.5k 1.3× 2.6k 2.4× 1.6k 2.2× 967 1.5× 272 6.0k

Countries citing papers authored by Muhammad Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Riaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Riaz. A scholar is included among the top collaborators of Muhammad Riaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Riaz. Muhammad Riaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Riaz, Muhammad, et al.. (2025). Preferences Relative Ordering by Frequency Inclusion Technique (PROFIT) for optimizing performance evaluation. Applied Soft Computing. 184. 113807–113807.
2.
Mahmood, Tahir, et al.. (2025). Advanced real-time monitoring techniques for high-dimensional data streams in industrial two-sample analysis. Production Engineering. 19(6). 1177–1193.
3.
Farid, Hafiz Muhammad Athar, Muhammad Riaz, Patrick Siarry, & Vladimir Šimić. (2025). Enhanced decision-making for urban climate change transportation policies using q-rung orthopair fuzzy rough fairly information aggregation. Information Sciences. 702. 121900–121900. 1 indexed citations
4.
Abbas, Tahir, et al.. (2024). Designing Bayesian paradigm-based CUSUM scheme for monitoring shape parameter of the Inverse Gaussian distribution. Computers & Industrial Engineering. 192. 110235–110235. 4 indexed citations
5.
Riaz, Muhammad, et al.. (2024). Sustainable renewable energy systems with entropy based step-wise weight assessment ratio analysis and combined compromise solution. Renewable Energy. 235. 121310–121310. 20 indexed citations
6.
Farid, Hafiz Muhammad Athar, Muhammad Riaz, Rukhsana Kausar, & Vladimir Šimić. (2024). Assessment of environment-conscious propulsion technologies for road freight distribution based on T-spherical fuzzy Schweizer-Sklar power operators. Information Sciences. 676. 120819–120819. 6 indexed citations
7.
Riaz, Muhammad, et al.. (2024). Cubic picture fuzzy topological data analysis with integrating blockchain and the metaverse for uncertain supply chain management. Engineering Applications of Artificial Intelligence. 131. 107827–107827. 12 indexed citations
8.
Riaz, Muhammad, et al.. (2024). How will I break AI? Post-Luddism in the AI age: Fuzzy MCDM synergy. Technological Forecasting and Social Change. 202. 123327–123327. 11 indexed citations
9.
Khan, Zareen A., et al.. (2024). Picture fuzzy complex proportional assessment approach with step-wise weight assessment ratio analysis and criteria importance through intercriteria correlation. Engineering Applications of Artificial Intelligence. 139. 109554–109554.
10.
Abbas, Zameer, Hafiz Zafar Nazir, & Muhammad Riaz. (2024). A distribution-free adaptive CUSUM-sign chart for monitoring shifts in the location of unknown industrial process. Statistics. 58(4). 961–982. 2 indexed citations
11.
Riaz, Muhammad, Hafiz Muhammad Athar Farid, & Faruk Karaaslan. (2023). Linear Diophantine Fuzzy Aggregation Operators with Multi-Criteria Decision-Making. 4(1). 24–35. 16 indexed citations
12.
Riaz, Muhammad, et al.. (2023). Emerging Trends in Social Networking Systems and Generation Gap with Neutrosophic Crisp Soft Mapping. Computer Modeling in Engineering & Sciences. 136(2). 1759–1783. 7 indexed citations
13.
Iram, Shamaila, Hussain Al-Aqrabi, Hafiz Muhammad Athar Farid, et al.. (2023). An Innovative Machine Learning Technique for the Prediction of Weather Based Smart Home Energy Consumption. IEEE Access. 11. 76300–76320. 15 indexed citations
14.
Alsboui, Tariq, Richard Hill, Hussain Al-Aqrabi, et al.. (2022). A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set. Sensors. 22(20). 8037–8037. 12 indexed citations
15.
Riaz, Muhammad, et al.. (2022). New MCDM Algorithms with Linear Diophantine Fuzzy Soft TOPSIS, VIKOR and Aggregation Operators. Mathematics. 10(17). 3080–3080. 10 indexed citations
16.
Riaz, Muhammad, et al.. (2021). M-Parameterized N-Soft Topology-Based TOPSIS Approach for Multi-Attribute Decision Making. Symmetry. 13(5). 748–748. 14 indexed citations
17.
Riaz, Muhammad, Anam Habib, Muhammad Jabir Khan, & Poom Kumam. (2021). Correlation Coefficients for Cubic Bipolar Fuzzy Sets With Applications to Pattern Recognition and Clustering Analysis. IEEE Access. 9. 109053–109066. 15 indexed citations
19.
Abbas, Tariq, Zhiwei Xu, Muhammad Younus, Abdul Qayyum, & Muhammad Riaz. (2017). Seasonality in hospital admissions of Crimean-Congo hemorrhagic fever and its dependence on ambient temperature—empirical evidence from Pakistan. International Journal of Biometeorology. 61(11). 1893–1897. 13 indexed citations
20.
Nielsen, Rasmus Hjorth, et al.. (2008). On the potential of using the cable trench problem in planning of ICT access networks. VBN Forskningsportal (Aalborg Universitet). 2. 585–588. 5 indexed citations

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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