Luca Vezzaro

1.8k total citations
62 papers, 1.3k citations indexed

About

Luca Vezzaro is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Luca Vezzaro has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Water Science and Technology, 37 papers in Environmental Engineering and 16 papers in Global and Planetary Change. Recurrent topics in Luca Vezzaro's work include Urban Stormwater Management Solutions (34 papers), Hydrology and Watershed Management Studies (24 papers) and Water Systems and Optimization (14 papers). Luca Vezzaro is often cited by papers focused on Urban Stormwater Management Solutions (34 papers), Hydrology and Watershed Management Studies (24 papers) and Water Systems and Optimization (14 papers). Luca Vezzaro collaborates with scholars based in Denmark, Italy and United States. Luca Vezzaro's co-authors include Peter Steen Mikkelsen, Morten Grum, Anna Ledin, Borja Valverde‐Pérez, Ana Deletić, Henrik Madsen, David McCarthy, Eva Eriksson, Manfred Kleidorfer and Malte Henrichs and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Luca Vezzaro

58 papers receiving 1.3k citations

Peers

Luca Vezzaro
Jeroen Langeveld Netherlands
Rudy Gargano Italy
Lorenzo Benedetti Belgium
Hailong Yin China
Wan Hanna Melini Wan Mohtar Malaysia
Harsha Ratnaweera Norway
Guanhui Cheng Canada
Wolfgang Schilling Norway
Sara Nazif Iran
Dirk Muschalla Austria
Jeroen Langeveld Netherlands
Luca Vezzaro
Citations per year, relative to Luca Vezzaro Luca Vezzaro (= 1×) peers Jeroen Langeveld

Countries citing papers authored by Luca Vezzaro

Since Specialization
Citations

This map shows the geographic impact of Luca Vezzaro'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 Luca Vezzaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Vezzaro more than expected).

Fields of papers citing papers by Luca Vezzaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Vezzaro. 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 Luca Vezzaro. The network helps show where Luca Vezzaro may publish in the future.

Co-authorship network of co-authors of Luca Vezzaro

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

All Works

20 of 20 papers shown
1.
Schellart, Alma, Jean-Luc Bertrand-Krajewski, Jörg Rieckermann, et al.. (2025). The role of open data in regulating combined sewer overflows. Water Science & Technology. 92(3). 409–425.
2.
Cantoni, Beatrice, et al.. (2024). Monitoring (micro-)pollutants in wastewater treatment plants: Comparing discharges in wet- and dry-weather. Environmental Research. 263(Pt 2). 120132–120132. 5 indexed citations
3.
Rosso, Beatrice, Luca Vezzaro, Stefano Biondi, et al.. (2024). From the highway to receiving water bodies: identification and simultaneous quantification of small microplastics (< 100 µm) in highway stormwater runoff. Environmental Science and Pollution Research. 31(52). 61845–61859.
4.
Mutzner, Lena, et al.. (2024). Temporal variations in micropollutant inlet concentrations matter when planning the design and compliance assessment of stormwater control measures. Journal of Environmental Management. 356. 120583–120583. 3 indexed citations
5.
Cantoni, Beatrice, et al.. (2023). A stochastic approach for assessing the chronic environmental risk generated by wet-weather events from integrated urban wastewater systems. Environmental Science Water Research & Technology. 9(12). 3174–3190. 6 indexed citations
6.
Mutzner, Lena, Ulrich Dittmer, Stéphan Fuchs, et al.. (2022). A decade of monitoring micropollutants in urban wet-weather flows: What did we learn?. Water Research. 223. 118968–118968. 48 indexed citations
7.
Torfs, Elena, Saba Daneshgar, John B. Copp, et al.. (2022). The transition of WRRF models to digital twin applications. Water Science & Technology. 85(10). 2840–2853. 32 indexed citations
8.
Rosso, Beatrice, Fabiana Corami, Luca Vezzaro, et al.. (2022). Quantification and characterization of additives, plasticizers, and small microplastics (5–100 μm) in highway stormwater runoff. Journal of Environmental Management. 324. 116348–116348. 36 indexed citations
9.
Stentoft, Peter Alexander, Jan Kloppenborg Møller, Henrik Madsen, et al.. (2021). Prioritize effluent quality, operational costs or global warming? – Using predictive control of wastewater aeration for flexible management of objectives in WRRFs. Water Research. 196. 116960–116960. 30 indexed citations
10.
Vezzaro, Luca. (2021). Extrapolating performance indicators for annual overflow volume reduction of system-wide real time control strategies. Urban Water Journal. 19(1). 15–21. 9 indexed citations
11.
Chen, Kehua, Hong‐Cheng Wang, Borja Valverde‐Pérez, et al.. (2021). Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning. Chemosphere. 279. 130498–130498. 85 indexed citations
12.
Fu, Baihua, Jeffery S. Horsburgh, Anthony J. Jakeman, et al.. (2020). Modeling Water Quality in Watersheds: From Here to the Next Generation. Water Resources Research. 56(11). 68 indexed citations
13.
Polesel, Fabio, et al.. (2020). Modelling the fate of micropollutants in integrated urban wastewater systems: Extending the applicability to pharmaceuticals. Water Research. 184. 116097–116097. 18 indexed citations
14.
Stentoft, Peter Alexander, et al.. (2019). Model Predictive Control of Stochastic Wastewater Treatment Process for Smart Power, Cost-Effective Aeration. IFAC-PapersOnLine. 52(1). 622–627. 11 indexed citations
15.
Polesel, Fabio, et al.. (2019). Risk assessment of contaminants of emerging concern in the context of wastewater reuse for irrigation: An integrated modelling approach. Chemosphere. 242. 125185–125185. 81 indexed citations
16.
Polesel, Fabio, et al.. (2019). Modelling micropollutant fate in sewer systems – A new systematic approach to support conceptual model construction based on in-sewer hydraulic retention time. Journal of Environmental Management. 246. 141–149. 5 indexed citations
17.
18.
Vezzaro, Luca, Anoop Sharma, Anna Ledin, & Peter Steen Mikkelsen. (2014). Evaluation of stormwater micropollutant source control and end-of-pipe control strategies using an uncertainty-calibrated integrated dynamic simulation model. Journal of Environmental Management. 151. 56–64. 14 indexed citations
19.
Vezzaro, Luca, Eva Eriksson, Anna Ledin, & Peter Steen Mikkelsen. (2011). Quantification of uncertainty in modelled partitioning and removal of heavy metals (Cu, Zn) in a stormwater retention pond and a biofilter. Water Research. 46(20). 6891–6903. 28 indexed citations
20.
Vezzaro, Luca, Eva Eriksson, Anna Ledin, & Peter Steen Mikkelsen. (2011). Modelling the fate of organic micropollutants in stormwater ponds. The Science of The Total Environment. 409(13). 2597–2606. 25 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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