Andrea Menapace

1.2k total citations · 1 hit paper
49 papers, 717 citations indexed

About

Andrea Menapace is a scholar working on Civil and Structural Engineering, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Andrea Menapace has authored 49 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Civil and Structural Engineering, 20 papers in Environmental Engineering and 18 papers in Water Science and Technology. Recurrent topics in Andrea Menapace's work include Water Systems and Optimization (22 papers), Water resources management and optimization (12 papers) and Hydrology and Watershed Management Studies (11 papers). Andrea Menapace is often cited by papers focused on Water Systems and Optimization (22 papers), Water resources management and optimization (12 papers) and Hydrology and Watershed Management Studies (11 papers). Andrea Menapace collaborates with scholars based in Italy, Brazil and United Kingdom. Andrea Menapace's co-authors include Maurizio Righetti, Ariele Zanfei, Bruno Brentan, Manuel Herrera, Diego Avesani, Majid Niazkar, Reza Piraei, Rudy Gargano, Marco Baratieri and Andrea Gasparella and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Andrea Menapace

44 papers receiving 700 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)

2024 133 citations Majid Niazkar, Andrea Menapace et al. profile →

Peers

Andrea Menapace

CSE

WST

EEE

Matthew Bartos United States

Hussein Al-Bugharbee Iraq

Hossien Riahi-Madvar Iran

T. R. Neelakantan India

Panagiotis Kossieris Greece

Xin Tian Netherlands

Hexiang Yan China

Mehmet Ali Yurdusev Türkiye

Sarmad Dashti Latif Malaysia

Mohammad Reza Bazargan-Lari Iran

Matthew Bartos United States

Andrea Menapace

130 ×0.5

CSE

373 ×1.5

WST

263 ×1.3

159 ×0.9

EEE

147 ×1.0

Citations per year, relative to Andrea Menapace Andrea Menapace (= 1×) peers Matthew Bartos

Countries citing papers authored by Andrea Menapace

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Menapace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Menapace

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

All Works

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20 of 20 papers shown

Herrera, Manuel, Xiang Xie, Andrea Menapace, Ariele Zanfei, & Bruno Brentan. (2025). Sustainable AI infrastructure: A scenario-based forecast of water footprint under uncertainty. Journal of Cleaner Production. 526. 146528–146528.

Menapace, Andrea, Ariele Zanfei, Massimiliano Renzi, et al.. (2025). Urban Smart Energy Systems from a Climate Change Perspective: Technical, Economic and Environmental Optimization Analysis. VBN Forskningsportal (Aalborg Universitet). 18. 100180–100180.

Menapace, Andrea, et al.. (2025). Sensors prioritisation for hydrological forecasting based on interpretable machine learning. Journal of Hydrology. 663. 134015–134015.

Menapace, Andrea, Konstantinos Kaffas, Alice Crespi, et al.. (2025). Review of bias correction methods for climate model outputs in hydrology. Journal of Hydrology. 660. 133213–133213. 1 indexed citations

Kaffas, Konstantinos, Andrea Menapace, Federico Preti, et al.. (2025). Controls on preferential flow and its role on streamflow generation in a Mediterranean forested catchment. Journal of Hydrology. 660. 133469–133469. 1 indexed citations

Brentan, Bruno, Andrea Menapace, Martin Oberascher, Manuel Herrera, & Robert Sitzenfrei. (2025). Enhancing explainable AI with graph signal processing: Applications in water distribution systems. Water Research. 285. 124022–124022. 1 indexed citations

Lombardi, Andrea, et al.. (2024). Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects. Discover Applied Sciences. 6(4). 3 indexed citations

Brentan, Bruno, Filipe Marques Mota, Andrea Menapace, Ariele Zanfei, & Gustavo Meirelles. (2024). Optimizing pump operations in water distribution networks: Balancing energy efficiency, water quality and operational constraints. Journal of Water Process Engineering. 63. 105374–105374. 9 indexed citations

Menapace, Andrea, et al.. (2024). Assessing downscaling techniques for frequency analysis, total precipitation and rainy day estimation in CMIP6 simulations over hydrological years. Hydrology and earth system sciences. 28(9). 1981–1997. 3 indexed citations

10.

Zanfei, Ariele, et al.. (2024). Leak detection and localization in water distribution systems via multilayer networks. Water Research X. 26. 100280–100280. 2 indexed citations

11.

Brentan, Bruno, Ariele Zanfei, Martin Oberascher, et al.. (2024). Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting. SHILAP Revista de lepidopterología. 42–42.

12.

Menapace, Andrea, Ariele Zanfei, Manuel Herrera, & Bruno Brentan. (2024). Graph Neural Networks for Sensor Placement: A Proof of Concept towards a Digital Twin of Water Distribution Systems. Water. 16(13). 1835–1835. 5 indexed citations

13.

Niazkar, Majid, et al.. (2024). A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions. Heliyon. 10(23). e40352–e40352. 12 indexed citations

14.

Carpitella, Silvia, et al.. (2024). Novel Multi-Criteria Decision Analysis Based on Performance Indicators for Urban Energy System Planning. Energies. 17(20). 5207–5207. 1 indexed citations

15.

Zanfei, Ariele, Andrea Menapace, & Maurizio Righetti. (2023). An artificial intelligence approach for managing water demand in water supply systems. IOP Conference Series Earth and Environmental Science. 1136(1). 12004–12004. 4 indexed citations

16.

Piraei, Reza, Majid Niazkar, Seied Hosein Afzali, & Andrea Menapace. (2023). Application of Machine Learning Models to Bridge Afflux Estimation. Water. 15(12). 2187–2187. 12 indexed citations

17.

Lascio, F. Marta L. Di, et al.. (2023). A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency. Environmetrics. 35(1). 4 indexed citations

18.

Zanfei, Ariele, et al.. (2023). Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control. Applied Energy. 351. 121802–121802. 10 indexed citations

19.

Brentan, Bruno, Silvia Carpitella, Ariele Zanfei, et al.. (2023). Multi‐criteria analysis applied to ranking rehabilitation strategies of water distribution networks. Mathematical Methods in the Applied Sciences. 48(7). 8245–8259. 3 indexed citations

20.

Righetti, Maurizio, et al.. (2019). A procedure for human safety assessment during hydropeaking events. The Science of The Total Environment. 661. 294–305. 15 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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