Muhammad Gulzar
Impact in
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
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- Rheology and Fluid Dynamics Studies
Papers in
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- Nanofluid Flow and Heat Transfer 22
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- Fuzzy and Soft Set Theory 17
- Multi-Criteria Decision Making 10
- Co-authors
- Masood Khan (5 shared papers)M. Waqas (13 shared papers)M. Irfan (2 shared papers)R. Ellahi (2 shared papers)Waris Khan (1 shared paper)Nasreen Kausar (6 shared papers)Tasawar Hayat (4 shared papers)Muhammad Asif Javed (3 shared papers)
- Journals
- International Journal of Numerical Methods for Heat & Fluid Flow (4 papers)IEEE Access (3 papers)Journal of Thermal Analysis and Calorimetry (2 papers)Complexity (2 papers)International Journal of Computational Intelligence Systems (1 paper)
- Partner nations
- PakistanSaudi ArabiaIndia
In The Last Decade
Muhammad Gulzar
46 papers receiving 978 citations
Peers
Comparison fields: 5 of 84
- Computational Mechanics 508
- Fluid Flow and Transfer Processes 109
- Management Science and Operations Research 210
- Biomedical Engineering 698
- Mechanical Engineering 518
Countries citing papers authored by Muhammad Gulzar
This map shows the geographic impact of Muhammad Gulzar'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 Gulzar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Gulzar more than expected).
Fields of papers citing papers by Muhammad Gulzar
This network shows the impact of papers produced by Muhammad Gulzar. 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 Gulzar. The network helps show where Muhammad Gulzar may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Gulzar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 94 | |
| 3 | 2014 | 76 | |
| 4 | 2020 | 75 | |
| 5 | 2014 | 73 | |
| 6 | 2018 | 67 | |
| 7 | 2020 | 63 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2021 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2006 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2004 | 14 |
About Muhammad Gulzar
Muhammad Gulzar is a scholar working on Biomedical Engineering, Management Science and Operations Research, Computational Mechanics, Mechanical Engineering and Computational Theory and Mathematics, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (22 papers), Fuzzy and Soft Set Theory (17 papers), Heat Transfer Mechanisms (14 papers), Fluid Dynamics and Turbulent Flows (13 papers), Advanced Algebra and Logic (11 papers), Multi-Criteria Decision Making (10 papers), Fuzzy Logic and Control Systems (9 papers) and Rheology and Fluid Dynamics Studies (6 papers). The work is most often cited by research in Computational Mechanics (508 citations), Fluid Flow and Transfer Processes (109 citations), Management Science and Operations Research (210 citations), Biomedical Engineering (698 citations) and Mechanical Engineering (518 citations). Muhammad Gulzar has collaborated with scholars based in Pakistan, Saudi Arabia and India. Frequent co-authors include Masood Khan, M. Waqas, M. Irfan, R. Ellahi, Waris Khan, Nasreen Kausar, Tasawar Hayat, Muhammad Asif Javed, M. Ijaz Khan and A. Alsaedi. Their work appears in journals such as International Journal of Numerical Methods for Heat & Fluid Flow, IEEE Access, Journal of Thermal Analysis and Calorimetry, Complexity and International Journal of Computational Intelligence Systems.
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.