Daniel Manzi
Impact in
- Civil and Structural Engineering top 10%
- Water Systems and Optimization
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- Hydrological Forecasting Using AI
- Urban Stormwater Management Solutions
Papers in
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- Water Systems and Optimization 7
- Hydraulic flow and structures 3
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- Cognitive Radio Networks and Spectrum Sensing 1
- Co-authors
- Edevar Luvizotto (7 shared papers)Bruno Brentan (7 shared papers)Gustavo Meirelles (5 shared papers)Joaquín Izquierdo (3 shared papers)Arun Samanta (1 shared paper)Manuel Herrera (2 shared papers)Enrique Campbell (2 shared papers)Marwan Krunz (1 shared paper)
- Journals
- Journal of Hydroinformatics (1 paper)Journal of Water Resources Planning and Management (1 paper)Journal of Clinical Gastroenterology (1 paper)Urban Water Journal (1 paper)Water Resources Management (1 paper)
- Partner nations
- BrazilSpainUnited Kingdom
In The Last Decade
Daniel Manzi
9 papers receiving 185 citations
Peers
Comparison fields: 5 of 47
- Civil and Structural Engineering 114
- Environmental Engineering 43
- Water Science and Technology 42
- Ocean Engineering 40
- Hepatology 14
Countries citing papers authored by Daniel Manzi
This map shows the geographic impact of Daniel Manzi'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 Daniel Manzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Manzi more than expected).
Fields of papers citing papers by Daniel Manzi
This network shows the impact of papers produced by Daniel Manzi. 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 Daniel Manzi. The network helps show where Daniel Manzi may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Manzi, 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 | 2017 | 33 | |
| 2 | 2017 | 31 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 20 | |
| 6 | 1985 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2011 | 12 | |
| 9 | 2018 | 2 |
About Daniel Manzi
Daniel Manzi is a scholar working on Civil and Structural Engineering, Computer Networks and Communications, Control and Systems Engineering, Mechanics of Materials and Ocean Engineering, having authored 9 papers that have together received 186 indexed citations. Recurring topics across this work include Water Systems and Optimization (7 papers), Hydraulic flow and structures (3 papers), Flow Measurement and Analysis (2 papers), Smart Grid Security and Resilience (2 papers), Water resources management and optimization (2 papers), Intestinal Malrotation and Obstruction Disorders (1 paper), Cognitive Radio Networks and Spectrum Sensing (1 paper) and Water-Energy-Food Nexus Studies (1 paper). The work is most often cited by research in Civil and Structural Engineering (114 citations), Environmental Engineering (43 citations), Water Science and Technology (42 citations), Ocean Engineering (40 citations) and Hepatology (14 citations). Daniel Manzi has collaborated with scholars based in Brazil, Spain and United Kingdom. Frequent co-authors include Edevar Luvizotto, Bruno Brentan, Gustavo Meirelles, Joaquín Izquierdo, Arun Samanta, Manuel Herrera, Enrique Campbell, Marwan Krunz, Haythem Bany Salameh and Idel Montalvo. Their work appears in journals such as Journal of Hydroinformatics, Journal of Water Resources Planning and Management, Journal of Clinical Gastroenterology, Urban Water Journal and Water Resources Management.
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.