Ilaria Prosdocimi

1.4k total citations
38 papers, 967 citations indexed

About

Ilaria Prosdocimi is a scholar working on Global and Planetary Change, Water Science and Technology and Statistics and Probability. According to data from OpenAlex, Ilaria Prosdocimi has authored 38 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 24 papers in Water Science and Technology and 6 papers in Statistics and Probability. Recurrent topics in Ilaria Prosdocimi's work include Hydrology and Drought Analysis (28 papers), Hydrology and Watershed Management Studies (24 papers) and Flood Risk Assessment and Management (17 papers). Ilaria Prosdocimi is often cited by papers focused on Hydrology and Drought Analysis (28 papers), Hydrology and Watershed Management Studies (24 papers) and Flood Risk Assessment and Management (17 papers). Ilaria Prosdocimi collaborates with scholars based in United Kingdom, Italy and Belgium. Ilaria Prosdocimi's co-authors include Thomas Kjeldsen, Cecilia Svensson, James D. Miller, Jamie Hannaford, Irène Gijbels, Harry Dixon, Kerstin Stahl, Sophie Bachmair, D. Morris and Virginie Keller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Ilaria Prosdocimi

37 papers receiving 954 citations

Peers

Ilaria Prosdocimi

GPC

WST

EEBS

Van‐Thanh‐Van Nguyen Canada

Edward P. Campbell Australia

S. Vandenberghe Belgium

P. F. Rasmussen Canada

Juraj M. Cunderlik Canada

Sayang Mohd Deni Malaysia

Ladislav Gaál Slovakia

Luis Mediero Spain

Sylvie Parey France

Jean Rousselle Canada

Van‐Thanh‐Van Nguyen Canada

Ilaria Prosdocimi

595 ×0.7

GPC

368 ×0.7

WST

155 ×1.0

171 ×1.2

34 ×0.6

EEBS

Citations per year, relative to Ilaria Prosdocimi Ilaria Prosdocimi (= 1×) peers Van‐Thanh‐Van Nguyen

Countries citing papers authored by Ilaria Prosdocimi

Since Specialization

Citations

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

Fields of papers citing papers by Ilaria Prosdocimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Prosdocimi

This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Prosdocimi. A scholar is included among the top collaborators of Ilaria Prosdocimi 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 Ilaria Prosdocimi. Ilaria Prosdocimi 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

Kjeldsen, Thomas & Ilaria Prosdocimi. (2023). Use of peak over threshold data for flood frequency estimation: An application at the UK national scale. Journal of Hydrology. 626. 130235–130235. 4 indexed citations

Anderson, Bailey, Louise Slater, Simon Dadson, A Blum, & Ilaria Prosdocimi. (2022). Statistical Attribution of the Influence of Urban and Tree Cover Change on Streamflow: A Comparison of Large Sample Statistical Approaches. Water Resources Research. 58(5). 24 indexed citations

Hajibabaei, Mohsen, Wolfgang Rauch, Thomas Kjeldsen, et al.. (2021). Stationary vs non-stationary modelling of flood frequency distribution across northwest England. Hydrological Sciences Journal. 66(4). 729–744. 45 indexed citations

Giuntoli, Ignazio, Ilaria Prosdocimi, & David M. Hannah. (2021). Going Beyond the Ensemble Mean: Assessment of Future Floods From Global Multi‐Models. Water Resources Research. 57(3). 10 indexed citations

Prosdocimi, Ilaria & Thomas Kjeldsen. (2020). Parametrisation of change-permitting extreme value models and its impact on the description of change. Stochastic Environmental Research and Risk Assessment. 35(2). 307–324. 27 indexed citations

Faraway, Julian J., et al.. (2019). Attribution of long-term changes in peak river flows in Great Britain. Hydrological Sciences Journal. 64(10). 1159–1170. 13 indexed citations

Slater, Louise, Guillaume Thirel, Shaun Harrigan, et al.. (2019). Using R in hydrology: a review of recent developments and future directions. Hydrology and earth system sciences. 23(7). 2939–2963. 60 indexed citations

Prosdocimi, Ilaria, et al.. (2019). Areal Models for Spatially Coherent Trend Detection: The Case of British Peak River Flows. Geophysical Research Letters. 46(22). 13054–13061. 11 indexed citations

Prosdocimi, Ilaria. (2017). German tanks and historical records: the estimation of the time coverage of ungauged extreme events. Stochastic Environmental Research and Risk Assessment. 32(3). 607–622. 10 indexed citations

10.

Bachmair, Sophie, Cecilia Svensson, Ilaria Prosdocimi, Jamie Hannaford, & Kerstin Stahl. (2017). Developing drought impact functions for drought risk management. Natural hazards and earth system sciences. 17(11). 1947–1960. 65 indexed citations

11.

Dixon, Harry, Duncan Faulkner, Rob Lamb, et al.. (2017). Making better use of local data in flood frequency estimation. Lincoln Repository (University of Lincoln). 4 indexed citations

12.

Svensson, Cecilia, Jamie Hannaford, & Ilaria Prosdocimi. (2016). Statistical distributions for monthly aggregations of precipitation and streamflow in drought indicator applications. Water Resources Research. 53(2). 999–1018. 102 indexed citations

13.

Bachmair, Sophie, Cecilia Svensson, Ilaria Prosdocimi, et al.. (2016). Drought impact functions as intermediate step towards drought damage assessment. EGUGA. 1 indexed citations

14.

Keller, Virginie, Maliko Tanguy, Ilaria Prosdocimi, et al.. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. 9 indexed citations

15.

Keller, Virginie, Maliko Tanguy, Ilaria Prosdocimi, et al.. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological and other applications. Earth system science data. 7(1). 143–155. 101 indexed citations

16.

Prosdocimi, Ilaria, Thomas Kjeldsen, & James D. Miller. (2015). Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models. Water Resources Research. 51(6). 4244–4262. 172 indexed citations

17.

Macdonald, Neil, Thomas Kjeldsen, Ilaria Prosdocimi, & Heather Sangster. (2014). Reassessing flood frequency for the Sussex Ouse, Lewes: the inclusion of historical flood information since AD 1650. Natural hazards and earth system sciences. 14(10). 2817–2828. 29 indexed citations

18.

Prosdocimi, Ilaria, Thomas Kjeldsen, & Cecilia Svensson. (2014). Non-stationarity in annual and seasonal series of peak flow and precipitation in the UK. Natural hazards and earth system sciences. 14(5). 1125–1144. 73 indexed citations

19.

Gijbels, Irène & Ilaria Prosdocimi. (2011). Smooth estimation of mean and dispersion function in extended generalized additive models with application to Italian induced abortion data. Journal of Applied Statistics. 38(11). 2391–2411. 3 indexed citations

20.

Croux, Christophe, Irène Gijbels, & Ilaria Prosdocimi. (2011). Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models. Biometrics. 68(1). 31–44. 24 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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