Stefano Basso

2.0k total citations
37 papers, 1.2k citations indexed

About

Stefano Basso is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Stefano Basso has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 22 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Stefano Basso's work include Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Drought Analysis (15 papers). Stefano Basso is often cited by papers focused on Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (16 papers) and Hydrology and Drought Analysis (15 papers). Stefano Basso collaborates with scholars based in Germany, Italy and Switzerland. Stefano Basso's co-authors include Gianluca Botter, Ralf Merz, Larisa Tarasova, Andrea Rinaldo, I. Rodriguez‐Iturbe, Mario Schirmer, Matthias Zink, Arianna Miniussi, Amilcare Porporato and Borut Vrščaj and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Stefano Basso

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Basso Germany 19 828 723 222 161 109 37 1.2k
George Papaioannou Greece 15 538 0.6× 678 0.9× 154 0.7× 185 1.1× 156 1.4× 33 916
Tushar Sinha United States 19 495 0.6× 479 0.7× 195 0.9× 132 0.8× 214 2.0× 38 913
Sopan Patil United Kingdom 18 697 0.8× 642 0.9× 208 0.9× 286 1.8× 115 1.1× 44 1.0k
Noora Veijalainen Finland 18 390 0.5× 347 0.5× 202 0.9× 72 0.4× 171 1.6× 37 828
Pedro Luiz Borges Chaffe Brazil 16 633 0.8× 606 0.8× 160 0.7× 171 1.1× 154 1.4× 50 941
Đoàn Văn Bình Vietnam 21 575 0.7× 518 0.7× 397 1.8× 272 1.7× 145 1.3× 55 1.3k
Ching‐Pin Tung Taiwan 18 420 0.5× 380 0.5× 74 0.3× 246 1.5× 94 0.9× 68 821
Đào Nguyên Khôi Vietnam 21 869 1.0× 913 1.3× 162 0.7× 434 2.7× 201 1.8× 52 1.4k
Aleksey Y. Sheshukov United States 20 505 0.6× 354 0.5× 218 1.0× 190 1.2× 130 1.2× 58 1.0k
Adnan Rajib United States 23 1.1k 1.3× 1.0k 1.4× 227 1.0× 410 2.5× 297 2.7× 52 1.6k

Countries citing papers authored by Stefano Basso

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Basso

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Basso. A scholar is included among the top collaborators of Stefano Basso 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 Stefano Basso. Stefano Basso 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.
Merz, Ralf, et al.. (2025). Constructing a geography of heavy-tailed flood distributions: insights from common streamflow dynamics. Hydrology and earth system sciences. 29(6). 1525–1548. 1 indexed citations
2.
Viglione, Alberto, Jost von Hardenberg, Larisa Tarasova, et al.. (2024). Regional multi-objective calibration for distributed hydrological modelling: a decision tree based approach. SHILAP Revista de lepidopterología. 385. 65–69.
3.
Basso, Stefano, Ralf Merz, Larisa Tarasova, & Arianna Miniussi. (2023). Extreme flooding controlled by stream network organization and flow regime. Nature Geoscience. 16(4). 339–343. 22 indexed citations
4.
Miniussi, Arianna, et al.. (2023). Prediction of Extraordinarily High Floods Emerging From Heterogeneous Flow Generation Processes. Geophysical Research Letters. 50(20). 3 indexed citations
5.
Tarasova, Larisa, David Lun, Ralf Merz, et al.. (2023). Shifts in flood generation processes exacerbate regional flood anomalies in Europe. Communications Earth & Environment. 4(1). 49–49. 54 indexed citations
6.
Miniussi, Arianna, et al.. (2022). Identifying discontinuities of flood frequency curves. Journal of Hydrology. 617. 128989–128989. 4 indexed citations
7.
Musolff, Andréas, et al.. (2022). Disentangling scatter in long-term concentration–discharge relationships: the role of event types. Hydrology and earth system sciences. 26(23). 6227–6245. 9 indexed citations
8.
Miniussi, Arianna, et al.. (2022). Reliable estimation of high floods: A method to select the most suitable ordinary distribution in the Metastatistical extreme value framework. Advances in Water Resources. 161. 104127–104127. 16 indexed citations
9.
Merz, Bruno, Stefano Basso, Svenja Fischer, et al.. (2022). Understanding Heavy Tails of Flood Peak Distributions. Water Resources Research. 58(6). 47 indexed citations
10.
Basso, Stefano, Gianluca Botter, Ralf Merz, & Arianna Miniussi. (2021). PHEV! The PHysically-based Extreme Value distribution of river flows. Environmental Research Letters. 16(12). 124065–124065. 11 indexed citations
11.
Tarasova, Larisa, Stefano Basso, Dadiyorto Wendi, et al.. (2020). A Process‐Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany. Water Resources Research. 56(5). 48 indexed citations
12.
Basso, Stefano, et al.. (2020). Characterizing hydrograph recessions from satellite-derived soil moisture. The Science of The Total Environment. 756. 143469–143469. 12 indexed citations
13.
Merz, Ralf, Larisa Tarasova, & Stefano Basso. (2019). Towards regional consistent parameters of distributed hydrological models. EGU General Assembly Conference Abstracts. 10998. 1 indexed citations
14.
Kumar, Mukesh, et al.. (2018). On the effectiveness of recession analysis methods for capturing thecharacteristic storage-discharge relation: An intercomparison study. Biogeosciences (European Geosciences Union). 4 indexed citations
15.
Tarasova, Larisa, Stefano Basso, Matthias Zink, & Ralf Merz. (2018). Exploring Controls on Rainfall‐Runoff Events: 1. Time Series‐Based Event Separation and Temporal Dynamics of Event Runoff Response in Germany. Water Resources Research. 54(10). 7711–7732. 95 indexed citations
16.
Basso, Stefano, et al.. (2016). A physically based analytical model of flood frequency curves. Geophysical Research Letters. 43(17). 9070–9076. 33 indexed citations
17.
Basso, Stefano, Alessandro Frascati, Marco Marani, Mario Schirmer, & Gianluca Botter. (2015). Climatic and landscape controls on effective discharge. Geophysical Research Letters. 42(20). 8441–8447. 33 indexed citations
18.
Betterle, Andrea, et al.. (2015). Predicting streamflow distributions and flow duration curves from landscape and climate. Advances in Water Resources. 83. 285–298. 50 indexed citations
19.
Basso, Stefano, et al.. (2013). Water management strategies for run-of-river power plants: Profitability and hydrologic impact between the intake and the outflow. Water Resources Research. 49(12). 8285–8298. 32 indexed citations
20.
Botter, Gianluca, Stefano Basso, I. Rodriguez‐Iturbe, & Andrea Rinaldo. (2013). Resilience of river flow regimes. Proceedings of the National Academy of Sciences. 110(32). 12925–12930. 183 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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