Loris Foresti

1.5k total citations
33 papers, 972 citations indexed

About

Loris Foresti is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Loris Foresti has authored 33 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Loris Foresti's work include Meteorological Phenomena and Simulations (19 papers), Precipitation Measurement and Analysis (17 papers) and Flood Risk Assessment and Management (9 papers). Loris Foresti is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Precipitation Measurement and Analysis (17 papers) and Flood Risk Assessment and Management (9 papers). Loris Foresti collaborates with scholars based in Switzerland, Australia and Belgium. Loris Foresti's co-authors include Urs Germann, Alan Seed, Mikhaïl Kanevski, Daniele Nerini, Sylvain Robert, Michel Jaboyedoff, Natan Micheletti, Alexei Pozdnoukhov, Michael Leuenberger and Andrea Pedrazzini and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Loris Foresti

32 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loris Foresti Switzerland 18 652 613 173 173 76 33 972
Marc Schleiss Netherlands 16 747 1.1× 478 0.8× 128 0.7× 355 2.1× 147 1.9× 42 1.0k
Ayub Mohammadi Iran 10 161 0.2× 528 0.9× 318 1.8× 178 1.0× 180 2.4× 13 767
Binru Zhao China 13 223 0.3× 229 0.4× 241 1.4× 123 0.7× 50 0.7× 35 527
Sepideh Tavakkoli Piralilou Austria 11 139 0.2× 575 0.9× 409 2.4× 186 1.1× 165 2.2× 12 833
Uğur Öztürk Germany 15 236 0.4× 437 0.7× 311 1.8× 38 0.2× 90 1.2× 34 676
Hejar Shahabi Austria 12 141 0.2× 436 0.7× 514 3.0× 154 0.9× 73 1.0× 17 811
Aurora Cuartero Spain 8 118 0.2× 256 0.4× 302 1.7× 109 0.6× 42 0.6× 17 569
Yaning Yi China 12 247 0.4× 303 0.5× 399 2.3× 93 0.5× 13 0.2× 23 701
Peihua Xu China 16 204 0.3× 302 0.5× 469 2.7× 140 0.8× 122 1.6× 34 810
Chen Cao China 15 214 0.3× 334 0.5× 491 2.8× 119 0.7× 133 1.8× 44 821

Countries citing papers authored by Loris Foresti

Since Specialization
Citations

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

Fields of papers citing papers by Loris Foresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loris Foresti

This figure shows the co-authorship network connecting the top 25 collaborators of Loris Foresti. A scholar is included among the top collaborators of Loris Foresti 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 Loris Foresti. Loris Foresti 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.
Foresti, Loris, Daniele Nerini, Aitor Atencia, et al.. (2024). A quest for precipitation attractors in weather radar archives. Nonlinear processes in geophysics. 31(2). 259–286.
2.
Foresti, Loris, et al.. (2020). Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps. Atmospheric measurement techniques. 13(5). 2481–2500. 3 indexed citations
3.
Pulkkinen, Seppo, Daniele Nerini, Carlos Velasco‐Forero, et al.. (2019). Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0). Geoscientific model development. 12(10). 4185–4219. 161 indexed citations
4.
Pulkkinen, Seppo, Daniele Nerini, Carlos Velasco‐Forero, et al.. (2019). pysteps - a Community-Driven Open-Source Library for Precipitation Nowcasting. Arcimis (State Meteorological Agency). 2 indexed citations
5.
Foresti, Loris, Ioannis V. Sideris, Daniele Nerini, Lea Beusch, & Urs Germann. (2019). Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach. Weather and Forecasting. 34(5). 1547–1569. 43 indexed citations
6.
Sideris, Ioannis V., Loris Foresti, Urs Germann, & Daniele Nerini. (2019). NowPrecip: Localized precipitation nowcasting in the complex terrain of Switzerland. Repository for Publications and Research Data (ETH Zurich). 108. 3 indexed citations
7.
Beusch, Lea, Loris Foresti, Marco Gabella, & Ulrich Hamann. (2018). Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks. Remote Sensing. 10(6). 939–939. 29 indexed citations
8.
Foresti, Loris, Daniele Nerini, Ioannis V. Sideris, et al.. (2018). Non-stationary radar precipitation ensembles: a stochastic nested generator and orographic precipitation growth and decay trends. EGU General Assembly Conference Abstracts. 6739. 1 indexed citations
9.
Nerini, Daniele, Nikola Bešič, Ioannis V. Sideris, Urs Germann, & Loris Foresti. (2017). A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform. Hydrology and earth system sciences. 21(6). 2777–2797. 58 indexed citations
10.
Foresti, Loris, Maarten Reyniers, Alan Seed, & Laurent Delobbe. (2016). Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium. Hydrology and earth system sciences. 20(1). 505–527. 68 indexed citations
11.
Ntegeka, Victor, Damián Murlà Tuyls, Li-Pen Wang, et al.. (2015). Probabilistic urban inundation nowcasting. Lirias (KU Leuven). 2 indexed citations
12.
Foresti, Loris & Alan Seed. (2014). The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images. Hydrology and earth system sciences. 18(11). 4671–4686. 19 indexed citations
13.
Foresti, Loris, et al.. (2013). Shallow landslide's stochastic risk modelling based on the precipitation event of August 2005 in Switzerland: results and implications. Natural hazards and earth system sciences. 13(12). 3169–3184. 7 indexed citations
14.
Micheletti, Natan, Loris Foresti, Sylvain Robert, et al.. (2013). Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping. Mathematical Geosciences. 46(1). 33–57. 236 indexed citations
15.
Robert, Sylvain, Loris Foresti, & Mikhaïl Kanevski. (2012). Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks. International Journal of Climatology. 33(7). 1793–1804. 32 indexed citations
16.
Foresti, Loris & Alexei Pozdnoukhov. (2011). Exploration of alpine orographic precipitation patterns with radar image processing and clustering techniques. Meteorological Applications. 19(4). 407–419. 29 indexed citations
17.
Foresti, Loris, Mikhaïl Kanevski, & Alexei Pozdnoukhov. (2011). Data-driven exploration of orographic enhancement of precipitation. Advances in science and research. 6(1). 129–135. 4 indexed citations
18.
Foresti, Loris, et al.. (2010). Time Series Input Selection using Multiple Kernel Learning. Socio-Environmental Systems Modeling. 2 indexed citations
19.
Foresti, Loris, Devis Tuia, Mikhaïl Kanevski, & Alexei Pozdnoukhov. (2010). Learning wind fields with multiple kernels. Stochastic Environmental Research and Risk Assessment. 25(1). 51–66. 28 indexed citations
20.
Foresti, Loris, Alexei Pozdnoukhov, & Mikhaïl Kanevski. (2009). Data-Driven Topographic Feature Selection for Mean Wind Speed Mapping. EGUGA. 4996. 1 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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