Daniel Manzi

483 total citations
9 papers, 186 citations indexed

About

Daniel Manzi is a scholar working on Civil and Structural Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Daniel Manzi has authored 9 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Civil and Structural Engineering, 2 papers in Computer Networks and Communications and 2 papers in Control and Systems Engineering. Recurrent topics in Daniel Manzi's work include Water Systems and Optimization (7 papers), Hydraulic flow and structures (3 papers) and Smart Grid Security and Resilience (2 papers). Daniel Manzi is often cited by papers focused on Water Systems and Optimization (7 papers), Hydraulic flow and structures (3 papers) and Smart Grid Security and Resilience (2 papers). Daniel Manzi collaborates with scholars based in Brazil, Spain and United Kingdom. Daniel Manzi's co-authors include Edevar Luvizotto, Bruno Brentan, Gustavo Meirelles, Joaquín Izquierdo, Arun Samanta, Enrique Campbell, Manuel Herrera, Haythem Bany Salameh, Marwan Krunz and Idel Montalvo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Management and Journal of Clinical Gastroenterology.

In The Last Decade

Daniel Manzi

9 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Manzi Brazil 8 114 43 42 42 40 9 186
Jinliang Gao China 9 157 1.4× 41 1.0× 56 1.3× 63 1.5× 72 1.8× 51 225
Enrique Campbell Spain 11 249 2.2× 70 1.6× 71 1.7× 57 1.4× 139 3.5× 21 322
Jessica Bohórquez Colombia 8 214 1.9× 46 1.1× 37 0.9× 25 0.6× 94 2.4× 15 240
Stelios G. Vrachimis Cyprus 10 306 2.7× 72 1.7× 114 2.7× 37 0.9× 78 1.9× 36 372
Mudasser Iqbal United States 7 284 2.5× 45 1.0× 129 3.1× 77 1.8× 131 3.3× 9 360
Dalius Misiūnas Australia 6 220 1.9× 24 0.6× 70 1.7× 27 0.6× 83 2.1× 9 239
Jianhua Xu United States 6 152 1.3× 67 1.6× 74 1.8× 7 0.2× 56 1.4× 10 228
Michael Bynum United States 6 176 1.5× 41 1.0× 40 1.0× 70 1.7× 38 0.9× 17 284
D. Páez Colombia 9 165 1.4× 83 1.9× 28 0.7× 32 0.8× 46 1.1× 24 183
Filippo Pecci United Kingdom 12 237 2.1× 57 1.3× 97 2.3× 48 1.1× 63 1.6× 31 291

Countries citing papers authored by Daniel Manzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Manzi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Manzi. A scholar is included among the top collaborators of Daniel Manzi 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 Daniel Manzi. Daniel Manzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Manzi, Daniel, Bruno Brentan, Gustavo Meirelles, Joaquín Izquierdo, & Edevar Luvizotto. (2019). Pattern Recognition and Clustering of Transient Pressure Signals for Burst Location. Water. 11(11). 2279–2279. 28 indexed citations
2.
Manzi, Daniel, et al.. (2018). Dimensionamento ótimo de redes de distribuição de água com uso de métodos de otimização inspirados na natureza. SHILAP Revista de lepidopterología. 66(212). 16–31. 2 indexed citations
3.
Brentan, Bruno, Enrique Campbell, Daniel Manzi, et al.. (2018). Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas. Journal of Water Resources Planning and Management. 144(5). 24 indexed citations
4.
Brentan, Bruno, et al.. (2018). Water demand time series generation for distribution network modeling and water demand forecasting. Urban Water Journal. 15(2). 150–158. 20 indexed citations
5.
Meirelles, Gustavo, Bruno Brentan, Daniel Manzi, & Edevar Luvizotto. (2017). Metamodel for nodal pressure estimation at near real-time in water distribution systems using artificial neural networks. Journal of Hydroinformatics. 20(2). 486–496. 31 indexed citations
6.
Brentan, Bruno, Enrique Campbell, Daniel Manzi, et al.. (2017). On-Line Cyber Attack Detection in Water Networks through State Forecasting and Control by Pattern Recognition. 583–592. 18 indexed citations
7.
Meirelles, Gustavo, et al.. (2017). Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks. Water Resources Management. 31(13). 4339–4351. 33 indexed citations
8.
Salameh, Haythem Bany, Marwan Krunz, & Daniel Manzi. (2011). An Efficient Guard-Band-Aware Multi-Channel Spectrum Sharing Mechanism for Dynamic Access Networks. 23. 1–5. 12 indexed citations
9.
Manzi, Daniel & Arun Samanta. (1985). Adhesion-Related Colonic Varices. Journal of Clinical Gastroenterology. 7(1). 71–75. 18 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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