Pietro Bernardara

1.8k total citations
35 papers, 644 citations indexed

About

Pietro Bernardara is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Pietro Bernardara has authored 35 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 9 papers in Water Science and Technology. Recurrent topics in Pietro Bernardara's work include Hydrology and Drought Analysis (27 papers), Climate variability and models (23 papers) and Hydrology and Watershed Management Studies (9 papers). Pietro Bernardara is often cited by papers focused on Hydrology and Drought Analysis (27 papers), Climate variability and models (23 papers) and Hydrology and Watershed Management Studies (9 papers). Pietro Bernardara collaborates with scholars based in France, United Kingdom and Italy. Pietro Bernardara's co-authors include Michel Benoît, Carlo De Michele, M. Lang, Joël Gailhard, F. Garavaglia, Franck Mazas, Luc Hamm, Emmanuel Paquet, Éric Sauquet and Rémy Garçon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and International Journal of Climatology.

In The Last Decade

Pietro Bernardara

35 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Bernardara France 15 487 273 197 133 56 35 644
C. P. Pearson New Zealand 13 469 1.0× 172 0.6× 281 1.4× 43 0.3× 61 1.1× 31 642
Pierluigi Furcolo Italy 13 468 1.0× 222 0.8× 157 0.8× 25 0.2× 81 1.4× 22 600
Peter Hawkes United Kingdom 13 348 0.7× 348 1.3× 46 0.2× 309 2.3× 59 1.1× 40 723
Alistair I McKerchar New Zealand 10 247 0.5× 140 0.5× 152 0.8× 41 0.3× 40 0.7× 25 429
Herman Gerritsen Netherlands 13 269 0.6× 318 1.2× 76 0.4× 287 2.2× 66 1.2× 21 643
Marshall E. Moss United States 14 348 0.7× 164 0.6× 307 1.6× 25 0.2× 146 2.6× 31 601
Stefano Mariani Italy 12 425 0.9× 411 1.5× 70 0.4× 65 0.5× 83 1.5× 29 612
Christoph Mudersbach Germany 13 345 0.7× 288 1.1× 41 0.2× 315 2.4× 17 0.3× 30 552
Olivier Payrastre France 13 853 1.8× 326 1.2× 548 2.8× 17 0.1× 98 1.8× 40 988
C. Thompson New Zealand 11 416 0.9× 293 1.1× 73 0.4× 52 0.4× 55 1.0× 21 543

Countries citing papers authored by Pietro Bernardara

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Bernardara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Bernardara

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Bernardara. A scholar is included among the top collaborators of Pietro Bernardara 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 Pietro Bernardara. Pietro Bernardara 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.
Bernardara, Pietro, et al.. (2020). Regional frequency analysis of extreme storm surges using the extremogram approach. Natural hazards and earth system sciences. 20(6). 1705–1717. 6 indexed citations
2.
Möller, Tim, Ioulia Tchiguirinskaia, Daniel Schertzer, et al.. (2018). Multifractal structure of storm Eleanor in France and predictions of the extremes. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Cross, David, Christian Onof, Hugo Winter, & Pietro Bernardara. (2018). Censored rainfall modelling for estimation of fine-scale extremes. Hydrology and earth system sciences. 22(1). 727–756. 12 indexed citations
4.
Bernardara, Pietro, et al.. (2018). The use of historical information for regional frequency analysis of extreme skew surge. Natural hazards and earth system sciences. 18(3). 949–962. 11 indexed citations
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Winter, L. M., J. L. Gannon, S. L. Huston, et al.. (2017). Spectral scaling technique to determine extreme Carrington‐level geomagnetically induced currents effects. Space Weather. 15(5). 713–725. 8 indexed citations
8.
Barroca, Bruno, et al.. (2015). Considering hazard estimation uncertain in urban resilience strategies. Natural hazards and earth system sciences. 15(1). 25–34. 4 indexed citations
9.
Bernardara, Pietro, et al.. (2014). A two-step framework for over-threshold modelling of environmental extremes. Natural hazards and earth system sciences. 14(3). 635–647. 76 indexed citations
10.
Bernardara, Pietro, et al.. (2014). Comparaison de différentes méthodes d'estimation des niveaux extrêmes en site à fort et à faible marnage. La Houille Blanche. 100(4). 26–36. 3 indexed citations
11.
Brigode, Pierre, Pietro Bernardara, Emmanuel Paquet, et al.. (2013). Linking ENSO and heavy rainfall events over coastal British Columbia through a weather pattern classification. Hydrology and earth system sciences. 17(4). 1455–1473. 19 indexed citations
12.
Bernardara, Pietro, et al.. (2013). Comparison of local indices for regional frequency analysis with an application to extreme skew surges. Water Resources Research. 49(5). 2940–2951. 17 indexed citations
13.
Brigode, Pierre, Pietro Bernardara, Joël Gailhard, et al.. (2012). Link between rainfall-based weather patterns classification over British-Columbia and El Niño Southern Oscillations. EGUGA. 8029. 1 indexed citations
14.
Bernardara, Pietro, et al.. (2012). ON THE TWO STEP THRESHOLD SELECTION FOR OVER-THRESHOLD MODELLING. Coastal Engineering Proceedings. 42–42. 4 indexed citations
15.
Bernardara, Pietro, et al.. (2011). Application of regional frequency analysis to the estimation of extreme storm surges. Journal of Geophysical Research Atmospheres. 116(C2). 69 indexed citations
16.
Garavaglia, F., Joël Gailhard, Emmanuel Paquet, et al.. (2010). Introducing a rainfall compound distribution model based on weather patterns sub-sampling. Hydrology and earth system sciences. 14(6). 951–964. 77 indexed citations
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Sauquet, Éric, Maria‐Helena Ramos, Laëtitia Chapel, & Pietro Bernardara. (2008). Streamflow scaling properties: investigating characteristic scales from different statistical approaches. Hydrological Processes. 22(17). 3462–3475. 27 indexed citations
19.
Bernardara, Pietro, Daniel Schertzer, Éric Sauquet, Ioulia Tchiguirinskaia, & M. Lang. (2007). The flood probability distribution tail: how heavy is it?. Stochastic Environmental Research and Risk Assessment. 22(1). 107–122. 48 indexed citations
20.
Bernardara, Pietro, Carlo De Michele, & R. Rosso. (2006). A simple model of rain in time: An alternating renewal process of wet and dry states with a fractional (non-Gaussian) rain intensity. Atmospheric Research. 84(4). 291–301. 35 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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