Matteo Camporese

2.9k total citations · 1 hit paper
62 papers, 2.2k citations indexed

About

Matteo Camporese is a scholar working on Water Science and Technology, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Matteo Camporese has authored 62 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 27 papers in Environmental Engineering and 21 papers in Civil and Structural Engineering. Recurrent topics in Matteo Camporese's work include Hydrology and Watershed Management Studies (28 papers), Soil and Unsaturated Flow (17 papers) and Groundwater flow and contamination studies (15 papers). Matteo Camporese is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Soil and Unsaturated Flow (17 papers) and Groundwater flow and contamination studies (15 papers). Matteo Camporese collaborates with scholars based in Italy, Canada and Australia. Matteo Camporese's co-authors include Claudio Paniconi, Mario Putti, Paolo Salandin, Stefano Orlandini, Mauro Sulis, Edoardo Daly, Giorgio Cassiani, Rita Deiana, P. J. Restrepo and Chaopeng Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Matteo Camporese

59 papers receiving 2.1k citations

Hit Papers

An overview of current applications, challenges, and futu... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Camporese Italy 25 1.2k 950 768 415 368 62 2.2k
Sorab Panday United States 21 1.1k 0.9× 1.4k 1.5× 378 0.5× 508 1.2× 205 0.6× 51 2.2k
Christophe Bouvier France 21 926 0.7× 480 0.5× 1.1k 1.4× 148 0.4× 552 1.5× 79 2.1k
Susan Steele‐Dunne Netherlands 28 720 0.6× 1.5k 1.6× 1.4k 1.9× 427 1.0× 1.2k 3.3× 84 3.4k
Chesheng Zhan China 30 1.5k 1.2× 711 0.7× 1.5k 2.0× 192 0.5× 484 1.3× 87 2.7k
Stanley A. Leake United States 21 911 0.7× 1.0k 1.1× 427 0.6× 188 0.5× 148 0.4× 57 1.9k
Boris Faybishenko United States 26 452 0.4× 1.0k 1.1× 381 0.5× 401 1.0× 196 0.5× 93 1.9k
Thomas Wöhling Germany 24 786 0.6× 1.0k 1.1× 422 0.5× 608 1.5× 135 0.4× 77 1.8k
Claudio Paniconi Canada 36 2.7k 2.2× 2.2k 2.3× 1.3k 1.7× 1.2k 2.8× 636 1.7× 97 4.1k
Steffen Zacharias Germany 22 318 0.3× 933 1.0× 463 0.6× 580 1.4× 350 1.0× 62 1.8k
Goffredo La Loggia Italy 28 750 0.6× 645 0.7× 1.2k 1.6× 485 1.2× 479 1.3× 102 2.2k

Countries citing papers authored by Matteo Camporese

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Camporese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Camporese

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Camporese. A scholar is included among the top collaborators of Matteo Camporese 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 Matteo Camporese. Matteo Camporese 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.
Cecilia, Daniele la, Accursio Venezia, D. Massa, & Matteo Camporese. (2025). From weather data to water fluxes simulation in Mediterranean greenhouses through a combined climate and hydrological modelling approach. Agricultural Water Management. 311. 109386–109386.
2.
Altmann, Brigitte, Elsa Varela, Noelia Zafra‐Calvo, et al.. (2025). Animal board invited review: A biocultural perspective of animal farming systems in Europe. animal. 19(6). 101515–101515.
3.
Camporese, Matteo, et al.. (2024). How do different runoff generation mechanisms drive stream network dynamics? Insights from physics‐based modelling. Hydrological Processes. 38(7). 1 indexed citations
5.
Cecilia, Daniele la & Matteo Camporese. (2022). Resolving streamflow diel fluctuations in a small agricultural catchment with an integrated surface‐subsurface hydrological model. Hydrological Processes. 36(12). 9 indexed citations
6.
Camporese, Matteo & Majdi Abou Najm. (2022). Not All Light Spectra Were Created Equal: Can We Harvest Light for Optimum Food‐Energy Co‐Generation?. Earth s Future. 10(12). 11 indexed citations
7.
Camporese, Matteo, et al.. (2022). Large-Scale Physical Modeling of Salt-Water Intrusion. Water. 14(8). 1183–1183. 7 indexed citations
8.
Bertoldi, Giacomo, Matteo Camporese, & Mauro Sulis. (2021). Advances in Catchment Science through Integrated Hydrological Modelling and Monitoring. Water. 13(15). 2013–2013.
9.
Durighetto, Nicola, et al.. (2020). Intraseasonal Drainage Network Dynamics in a Headwater Catchment of the Italian Alps. Water Resources Research. 56(4). 64 indexed citations
10.
Camporese, Matteo, et al.. (2020). Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling. Water Resources Research. 56(6). 8 indexed citations
11.
Alaghmand, Sina, et al.. (2020). Long-Term Impacts of Partial Afforestation on Water and Salt Dynamics of an Intermittent Catchment under Climate Change. Water. 12(4). 1067–1067. 8 indexed citations
13.
Camporese, Matteo, Claudio Paniconi, Mario Putti, & Jeffrey J. McDonnell. (2019). Fill and Spill Hillslope Runoff Representation With a Richards Equation‐Based Model. Water Resources Research. 55(11). 8445–8462. 35 indexed citations
15.
Azarnivand, Ali, Matteo Camporese, Sina Alaghmand, & Edoardo Daly. (2019). Simulated response of an intermittent stream to rainfall frequency patterns. Hydrological Processes. 34(3). 615–632. 17 indexed citations
16.
Belluco, Enrica, et al.. (2018). Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope. Hydrology and earth system sciences. 22(8). 4251–4266. 27 indexed citations
17.
Salandin, Paolo, et al.. (2018). Ensemble Kalman Filter Assimilation of ERT Data for Numerical Modeling of Seawater Intrusion in a Laboratory Experiment. Water. 10(4). 397–397. 17 indexed citations
18.
Schenato, Luca, Luca Palmieri, Matteo Camporese, et al.. (2017). Distributed optical fibre sensing for early detection of shallow landslides triggering. Scientific Reports. 7(1). 14686–14686. 102 indexed citations
19.
Camporese, Matteo, et al.. (2016). Design and performance of a nozzle-type rainfall simulator for landslide triggering experiments. CATENA. 140. 77–89. 55 indexed citations
20.
Camporese, Matteo, Joshua Dean, P. Evan Dresel, John A. Webb, & Edoardo Daly. (2013). Hydrological modelling of paired catchments with competing land uses. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 3 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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