Francesco Serinaldi

6.0k total citations · 1 hit paper
64 papers, 4.6k citations indexed

About

Francesco Serinaldi is a scholar working on Global and Planetary Change, Water Science and Technology and Finance. According to data from OpenAlex, Francesco Serinaldi has authored 64 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 21 papers in Water Science and Technology and 17 papers in Finance. Recurrent topics in Francesco Serinaldi's work include Hydrology and Drought Analysis (50 papers), Climate variability and models (33 papers) and Hydrology and Watershed Management Studies (21 papers). Francesco Serinaldi is often cited by papers focused on Hydrology and Drought Analysis (50 papers), Climate variability and models (33 papers) and Hydrology and Watershed Management Studies (21 papers). Francesco Serinaldi collaborates with scholars based in United Kingdom, Italy and United States. Francesco Serinaldi's co-authors include Chris Kilsby, Salvatore Grimaldi, Gabriele Villarini, James A. Smith, Witold F. Krajewski, Federico Lombardo, Jerad Bales, Paul Bates, Alexandros A. Ntelekos and Brunella Bonaccorso and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of Hydrology.

In The Last Decade

Francesco Serinaldi

63 papers receiving 4.5k citations

Hit Papers

Stationarity is undead: Uncertainty dominates the distrib... 2015 2026 2018 2022 2015 100 200 300

Peers

Francesco Serinaldi
Aldo V. Vecchia United States
Christian Onof United Kingdom
Paul Pilon Canada
Quan J. Wang Australia
Dan Rosbjerg Denmark
A. Ramachandra Rao United States
Francesco Serinaldi
Citations per year, relative to Francesco Serinaldi Francesco Serinaldi (= 1×) peers Anne‐Catherine Favre

Countries citing papers authored by Francesco Serinaldi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Serinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Serinaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Serinaldi. A scholar is included among the top collaborators of Francesco Serinaldi 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 Francesco Serinaldi. Francesco Serinaldi 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.
Serinaldi, Francesco. (2024). Scientific logic and spatio-temporal dependence in analyzing extreme-precipitation frequency: negligible or neglected?. Hydrology and earth system sciences. 28(14). 3191–3218. 1 indexed citations
2.
Papalexiou, Simon Michael, Francesco Serinaldi, & Martyn Clark. (2023). Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites. Water Resources Research. 59(3). 9 indexed citations
3.
Serinaldi, Francesco & Federico Lombardo. (2020). Probability Distribution of Waiting Time of the kth Extreme Event under Serial Dependence. Journal of Hydrologic Engineering. 25(6). 4 indexed citations
4.
Serinaldi, Francesco, Fateh Chebana, & Chris Kilsby. (2020). Dissecting innovative trend analysis. Stochastic Environmental Research and Risk Assessment. 34(5). 733–754. 62 indexed citations
5.
Papalexiou, Simon Michael & Francesco Serinaldi. (2020). Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity. Water Resources Research. 56(2). 49 indexed citations
6.
Serinaldi, Francesco & Federico Lombardo. (2017). General simulation algorithm for autocorrelated binary processes. Physical review. E. 95(2). 23312–23312. 13 indexed citations
7.
Serinaldi, Francesco & Federico Lombardo. (2017). BetaBit: A fast generator of autocorrelated binary processes for geophysical research. Europhysics Letters (EPL). 118(3). 30007–30007. 13 indexed citations
8.
Lombardo, Federico, Elena Volpi, Demetris Koutsoyiannis, & Francesco Serinaldi. (2017). A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall. Water Resources Research. 53(6). 4586–4605. 31 indexed citations
9.
Serinaldi, Francesco & Chris Kilsby. (2016). A Blueprint for Full Collective Flood Risk Estimation: Demonstration for European River Flooding. Risk Analysis. 37(10). 1958–1976. 42 indexed citations
10.
Serinaldi, Francesco. (2014). Dismissing return periods!. Stochastic Environmental Research and Risk Assessment. 29(4). 1179–1189. 205 indexed citations
11.
Serinaldi, Francesco & Chris Kilsby. (2014). Rainfall extremes: Toward reconciliation after the battle of distributions. Water Resources Research. 50(1). 336–352. 134 indexed citations
12.
Serinaldi, Francesco. (2013). On the relationship between the index of dispersion and Allan factor and their power for testing the Poisson assumption. Stochastic Environmental Research and Risk Assessment. 27(7). 1773–1782. 10 indexed citations
13.
Serinaldi, Francesco. (2013). Closure to “Synthetic Design Hydrographs Based on Distribution Functions with Finite Support” by Francesco Serinaldi and Salvatore Grimaldi. Journal of Hydrologic Engineering. 18(1). 126–129. 2 indexed citations
14.
Serinaldi, Francesco, Luciano Zunino, & Osvaldo A. Rosso. (2013). Complexity–entropy analysis of daily stream flow time series in the continental United States. Stochastic Environmental Research and Risk Assessment. 28(7). 1685–1708. 55 indexed citations
15.
Grimaldi, Salvatore, Andrea Petroselli‬, & Francesco Serinaldi. (2012). A continuous simulation model for design-hydrograph estimation in small and ungauged watersheds. Hydrological Sciences Journal. 57(6). 1035–1051. 53 indexed citations
16.
Serinaldi, Francesco & Chris Kilsby. (2012). On the sampling distribution of Allan factor estimator for a homogeneous Poisson process and its use to test inhomogeneities at multiple scales. Physica A Statistical Mechanics and its Applications. 392(5). 1080–1089. 14 indexed citations
17.
Serinaldi, Francesco. (2011). Distributional modeling and short-term forecasting of electricity prices by Generalized Additive Models for Location, Scale and Shape. Energy Economics. 33(6). 1216–1226. 60 indexed citations
18.
Zunino, Luciano, Benjamin Miranda Tabak, Francesco Serinaldi, et al.. (2010). Commodity predictability analysis with a permutation information theory approach. Physica A Statistical Mechanics and its Applications. 390(5). 876–890. 69 indexed citations
19.
Grimaldi, Salvatore & Francesco Serinaldi. (2006). Design hyetograph analysis with 3-copula function. Hydrological Sciences Journal. 51(2). 223–238. 117 indexed citations
20.
Grimaldi, Salvatore, et al.. (2005). A 3-copula function application for design hyetograph analysis.. IAHS-AISH publication. 203–211. 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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