Andrea Cominola

1.8k total citations
51 papers, 1.3k citations indexed

About

Andrea Cominola is a scholar working on Water Science and Technology, Ocean Engineering and Civil and Structural Engineering. According to data from OpenAlex, Andrea Cominola has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 26 papers in Ocean Engineering and 20 papers in Civil and Structural Engineering. Recurrent topics in Andrea Cominola's work include Water resources management and optimization (26 papers), Water Systems and Optimization (20 papers) and Water-Energy-Food Nexus Studies (17 papers). Andrea Cominola is often cited by papers focused on Water resources management and optimization (26 papers), Water Systems and Optimization (20 papers) and Water-Energy-Food Nexus Studies (17 papers). Andrea Cominola collaborates with scholars based in Germany, Italy and United States. Andrea Cominola's co-authors include Andrea Castelletti, Matteo Giuliani, Andrea Emilio Rizzoli, Dario Piga, Rodney A. Stewart, Ashlynn S. Stillwell, Holger R. Maier, Khoi Nguyen, Reinhard Hinkelmann and David E. Rosenberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Journal of Cleaner Production.

In The Last Decade

Andrea Cominola

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Cominola Germany 18 577 561 510 426 221 51 1.3k
Doosun Kang South Korea 27 603 1.0× 543 1.0× 1.2k 2.4× 163 0.4× 576 2.6× 93 1.9k
Bruno Brentan Brazil 23 459 0.8× 427 0.8× 787 1.5× 283 0.7× 326 1.5× 93 1.4k
Massoud Tabesh Iran 29 484 0.8× 674 1.2× 1.5k 2.9× 212 0.5× 655 3.0× 107 2.3k
Edo Abraham Netherlands 20 316 0.5× 359 0.6× 651 1.3× 306 0.7× 138 0.6× 64 1.1k
Rafael Pérez-García Spain 18 287 0.5× 542 1.0× 598 1.2× 262 0.6× 294 1.3× 47 1.3k
Giovanni Francesco Santonastaso Italy 23 383 0.7× 347 0.6× 980 1.9× 230 0.5× 371 1.7× 65 1.4k
Robert Sitzenfrei Austria 28 641 1.1× 460 0.8× 1.2k 2.3× 211 0.5× 1.1k 5.1× 149 2.3k
Modesto Pérez‐Sánchez Spain 19 478 0.8× 239 0.4× 479 0.9× 188 0.4× 84 0.4× 105 1.1k
Khoi Nguyen Australia 13 340 0.6× 398 0.7× 372 0.7× 220 0.5× 89 0.4× 35 734
Paul Jowitt United Kingdom 19 227 0.4× 682 1.2× 696 1.4× 163 0.4× 270 1.2× 78 1.6k

Countries citing papers authored by Andrea Cominola

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Cominola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Cominola

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cominola. A scholar is included among the top collaborators of Andrea Cominola 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 Andrea Cominola. Andrea Cominola 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.
Cominola, Andrea, et al.. (2025). Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US. Earth s Future. 13(1). 1 indexed citations
2.
Taormina, Riccardo, et al.. (2024). A Machine Learning-based framework and open-source software for Non Intrusive Water Monitoring. Environmental Modelling & Software. 183. 106247–106247.
3.
Cominola, Andrea, et al.. (2024). Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand. SHILAP Revista de lepidopterología. 4(3). 35005–35005. 1 indexed citations
4.
Oberascher, Martin, et al.. (2024). Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps. Journal of Hydroinformatics. 26(8). 1824–1837. 2 indexed citations
5.
Kreibich, Heidi, et al.. (2023). Interpretable Machine Learning Reveals Potential to Overcome Reactive Flood Adaptation in the Continental US. Earth s Future. 11(9). 2 indexed citations
6.
Cominola, Andrea, et al.. (2023). The determinants of household water consumption: A review and assessment framework for research and practice. npj Clean Water. 6(1). 38 indexed citations
7.
Stillwell, Ashlynn S., Andrea Cominola, & Cara Beal. (2023). Understanding resource consumption and sustainability in the built environment. SHILAP Revista de lepidopterología. 3(3). 30201–30201. 2 indexed citations
8.
Ajami, Newsha, et al.. (2023). A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies. npj Clean Water. 6(1). 30 indexed citations
9.
10.
Alvisi, Stefano, Mirjam Blokker, Steven G. Buchberger, et al.. (2022). Investigating the characteristics of residential end uses of water: A worldwide review. Water Research. 230. 119500–119500. 54 indexed citations
11.
Kreibich, Heidi, et al.. (2022). A Gradient Boosting Approach to Identify Behavioral and Policy Determinants of Flood Resilience in the Continental US. IFAC-PapersOnLine. 55(33). 85–91. 2 indexed citations
12.
Cominola, Andrea, et al.. (2020). Benchmarking machine learning algorithms for Non-Intrusive Water Monitoring. 2 indexed citations
13.
Pesantez, Jorge E., Simon Letzgus, Mohammad Ali Khaksar Fasaee, et al.. (2020). A high-resolution pressure-driven method for leakage identification and localization in water distribution networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
14.
Zounemat‐Kermani, Mohammad, et al.. (2020). Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects. Journal of Hydrology. 588. 125085–125085. 108 indexed citations
15.
Cominola, Andrea, et al.. (2020). Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water. 13(1). 36–36. 53 indexed citations
16.
Cominola, Andrea, et al.. (2018). Building an open high-resolution residential water end-use dataset with non-intrusive metering, intrusive metering, and water use diaries. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 19. 13471. 3 indexed citations
17.
Bizzi, Simone, et al.. (2018). Multicriteria Optimization Model to Generate on‐DEM Optimal Channel Networks. Water Resources Research. 54(8). 5727–5740. 3 indexed citations
18.
Giuliani, Matteo, et al.. (2016). Data-driven behavioural modelling of residential water consumption to inform water demand management strategies. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 18. 12007–12007. 1 indexed citations
19.
Piga, Dario, Andrea Cominola, Matteo Giuliani, Andrea Castelletti, & Andrea Emilio Rizzoli. (2015). Sparse Optimization for Automated Energy End Use Disaggregation. IEEE Transactions on Control Systems Technology. 24(3). 1044–1051. 74 indexed citations
20.
Cominola, Andrea, Matteo Giuliani, Dario Piga, et al.. (2014). The SmartH2O project: a platform supporting residential water management through smart meters and data intensive modeling. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2014. 1 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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