Mumtaz Ali
Impact in
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
- Environmental Engineering top 0.5%
- Hydrological Forecasting Using AI
Papers in
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- Multi-Criteria Decision Making 44
- Fuzzy and Soft Set Theory 27
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- Hydrological Forecasting Using AI 42
- Co-authors
- Florentín Smarandache (38 shared papers)Ramendra Prasad (16 shared papers)Zaher Mundher Yaseen (42 shared papers)Lê Hoàng Sơn (18 shared papers)Ravinesh C. Deo (19 shared papers)Yong Xiang (15 shared papers)Mehdi Jamei (36 shared papers)İrfan Deli̇ (7 shared papers)
In The Last Decade
Mumtaz Ali
185 papers receiving 4.8k citations
Mumtaz Ali's Hit Papers
Peers
Comparison fields: 5 of 168
- Management Science and Operations Research 1.3k
- Environmental Engineering 1.2k
- Water Science and Technology 612
- Artificial Intelligence 1.2k
- Statistics and Probability 292
Countries citing papers authored by Mumtaz Ali
This map shows the geographic impact of Mumtaz Ali'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 Mumtaz Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mumtaz Ali more than expected).
Fields of papers citing papers by Mumtaz Ali
This network shows the impact of papers produced by Mumtaz Ali. 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 Mumtaz Ali. The network helps show where Mumtaz Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Mumtaz Ali, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2018 | 159 | |
| 3 | 2020 | 154 | |
| 4 | 2016 | 150 | |
| 5 | 2019 | 137 | |
| 6 | 2018 | 122 | |
| 7 | 2015 | 121 | |
| 8 | Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study Hit paper breakdown → | 2023 | 115 |
| 9 | Comparison between the Effects of Different Types of Membership Functions on Fuzzy Logic Controller Performance | 2015 | 107 |
| 10 | 2019 | 92 | |
| 11 | 2019 | 92 | |
| 12 | 2021 | 91 | |
| 13 | 2019 | 89 | |
| 14 | 2019 | 84 | |
| 15 | 2022 | 82 | |
| 16 | 2020 | 79 | |
| 17 | 2016 | 78 | |
| 18 | 2017 | 78 | |
| 19 | 2018 | 73 | |
| 20 | 2017 | 72 |
About Mumtaz Ali
Mumtaz Ali is a scholar working on Management Science and Operations Research, Environmental Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 208 papers that have together received 4.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (44 papers), Hydrological Forecasting Using AI (42 papers), Energy Load and Power Forecasting (29 papers), Fuzzy and Soft Set Theory (27 papers), Advanced Algebra and Logic (24 papers), Solar Radiation and Photovoltaics (17 papers), Hydrology and Drought Analysis (16 papers) and Fuzzy Logic and Control Systems (12 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Environmental Engineering (1.2k citations), Water Science and Technology (612 citations), Artificial Intelligence (1.2k citations) and Statistics and Probability (292 citations). Mumtaz Ali has collaborated with scholars based in Australia, Pakistan and Iraq. Frequent co-authors include Florentín Smarandache, Ramendra Prasad, Zaher Mundher Yaseen, Lê Hoàng Sơn, Ravinesh C. Deo, Yong Xiang, Mehdi Jamei, İrfan Deli̇, Masoud Karbasi and Nathan Downs. Their work appears in journals such as Journal of Hydrology, Computers and Electronics in Agriculture, Water, Scientific Reports and IEEE Access.
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.