Muzaffar Eusuff
Impact in
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- Water Systems and Optimization
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Water Systems and Optimization 5
- Geotechnical Engineering and Underground Structures 1
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- Water resources management and optimization 5
- Journals
- Journal of Irrigation and Drainage Engineering (1 paper)Engineering Optimization (1 paper)Journal of Water Resources Planning and Management (1 paper)Water Resources Management (1 paper)UA Campus Repository (The University of Arizona) (1 paper)
- Partner nations
- United States
In The Last Decade
Muzaffar Eusuff
8 papers receiving 2.1k citations
Muzaffar Eusuff's Hit Papers
Peers
Comparison fields: 5 of 112
- Civil and Structural Engineering 710
- Artificial Intelligence 757
- Industrial and Manufacturing Engineering 221
- Ocean Engineering 315
- Computational Theory and Mathematics 307
Countries citing papers authored by Muzaffar Eusuff
This map shows the geographic impact of Muzaffar Eusuff'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 Muzaffar Eusuff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muzaffar Eusuff more than expected).
Fields of papers citing papers by Muzaffar Eusuff
This network shows the impact of papers produced by Muzaffar Eusuff. 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 Muzaffar Eusuff. The network helps show where Muzaffar Eusuff may publish in the future.
Co-authors
The 3 scholars most cited alongside Muzaffar Eusuff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm Hit paper breakdown → | 2003 | 1185 |
| 2 | Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization Hit paper breakdown → | 2006 | 996 |
| 3 | 2000 | 49 | |
| 4 | 2004 | 32 | |
| 5 | 2001 | 25 | |
| 6 | 1999 | 17 | |
| 7 | Water resources decision making using meta-heuristic optimization methods | 2004 | 5 |
| 8 | 2000 | 1 | |
| 9 | 2001 | 0 |
About Muzaffar Eusuff
Muzaffar Eusuff is a scholar working on Civil and Structural Engineering, Ocean Engineering, Environmental Engineering, Water Science and Technology and Artificial Intelligence, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Water resources management and optimization (5 papers), Water Systems and Optimization (5 papers), Hydrology and Watershed Management Studies (3 papers), Groundwater flow and contamination studies (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Geotechnical Engineering and Underground Structures (1 paper), Smart Grid Energy Management (1 paper) and Urban Stormwater Management Solutions (1 paper). The work is most often cited by research in Civil and Structural Engineering (710 citations), Artificial Intelligence (757 citations), Industrial and Manufacturing Engineering (221 citations), Ocean Engineering (315 citations) and Computational Theory and Mathematics (307 citations). Muzaffar Eusuff has collaborated with scholars based in United States. Frequent co-authors include Kevin Lansey, Fayzul Pasha and Avi Ostfeld. Their work appears in journals such as Journal of Irrigation and Drainage Engineering, Engineering Optimization, Journal of Water Resources Planning and Management, Water Resources Management and UA Campus Repository (The University of Arizona).
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.