Luca Panziera

1.1k total citations
35 papers, 744 citations indexed

About

Luca Panziera is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Luca Panziera has authored 35 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 10 papers in Artificial Intelligence. Recurrent topics in Luca Panziera's work include Meteorological Phenomena and Simulations (21 papers), Precipitation Measurement and Analysis (13 papers) and Climate variability and models (12 papers). Luca Panziera is often cited by papers focused on Meteorological Phenomena and Simulations (21 papers), Precipitation Measurement and Analysis (13 papers) and Climate variability and models (12 papers). Luca Panziera collaborates with scholars based in Switzerland, Italy and United Kingdom. Luca Panziera's co-authors include Urs Germann, Pradeep V. Mandapaka, Marco Gabella, Olivia Martius, Alessandro Hering, Dino Zardi, Lorenzo Giovannini, Lavinia Laiti, Alexis Berne and Loris Foresti and has published in prestigious journals such as Atmospheric chemistry and physics, Quarterly Journal of the Royal Meteorological Society and International Journal of Climatology.

In The Last Decade

Luca Panziera

35 papers receiving 726 citations

Peers

Luca Panziera

GPC

WST

Youssef Wehbe United Arab Emirates

Andrés Navarro Spain

Elisabetta Fiori Italy

K. A. Dressler United States

Alec Stephenson Australia

Carsten Riggelsen Germany

Julien Lhomme United Kingdom

Supari Supari Indonesia

Harendra Singh Negi India

Jurjen Wagemaker Netherlands

Youssef Wehbe United Arab Emirates

Luca Panziera

524 ×0.9

554 ×1.0

GPC

58 ×0.5

WST

157 ×2.2

21 ×0.3

Citations per year, relative to Luca Panziera Luca Panziera (= 1×) peers Youssef Wehbe

Countries citing papers authored by Luca Panziera

Since Specialization

Citations

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

Fields of papers citing papers by Luca Panziera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Panziera

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

Martynov, Andrey, et al.. (2019). Characteristics of a Hailstorm over the Andean La Paz Valley. 5 indexed citations

Panziera, Luca, Urs Germann, Marco Gabella, & Olivia Martius. (2019). A 12-year radar-based climatology of daily and sub-daily extreme precipitation over the Swiss Alps. Repository for Publications and Research Data (ETH Zurich). 82–82. 26 indexed citations

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

Stucki, Peter, U. Heikkilä, Ole Rößler, et al.. (2018). Reconstruction and simulation of an extreme flood event in the Lago Maggiore catchment in 1868. Natural hazards and earth system sciences. 18(10). 2717–2739. 17 indexed citations

Panziera, Luca, Marco Gabella, Urs Germann, & Olivia Martius. (2018). A 12‐year radar‐based climatology of daily and sub‐daily extreme precipitation over the Swiss Alps. International Journal of Climatology. 38(10). 3749–3769. 49 indexed citations

Panziera, Luca, Marco Gabella, Stefano Zanini, et al.. (2016). A radar-based regional extreme rainfall analysis to derive the thresholds for a novel automatic alert system in Switzerland. Hydrology and earth system sciences. 20(6). 2317–2332. 42 indexed citations

Marco-Ruiz, Luis, Carlos Pedrinaci, José Alberto Maldonado, et al.. (2016). Publication, discovery and interoperability of Clinical Decision Support Systems: A Linked Data approach. Journal of Biomedical Informatics. 62. 243–264. 27 indexed citations

Daga, Enrico, Luca Panziera, & Carlos Pedrinaci. (2015). BASIL: A Cloud Platform for Sharing and Reusing SPARQL Queries as Web APIs. Open Research Online (The Open University). 1 indexed citations

Grazioli, Jacopo, Gary Lloyd, Luca Panziera, et al.. (2015). Polarimetric radar and in situ observations of riming and snowfall microphysics during CLACE 2014. Atmospheric chemistry and physics. 15(23). 13787–13802. 49 indexed citations

10.

Pérez-Ordóñez, Juan Luis, et al.. (2015). servIoTicy and iServe: A Scalable Platform for Mining the IoT. Procedia Computer Science. 52. 1022–1027. 4 indexed citations

11.

Panziera, Luca, Lorenzo Giovannini, Lavinia Laiti, & Dino Zardi. (2015). The relation between circulation types and regional Alpine climate. Part II: the dependence of the predictive skill on the vertical level of the classification for Trentino. International Journal of Climatology. 36(5). 2189–2199. 4 indexed citations

12.

Rula, Anisa, Luca Panziera, Matteo Palmonari, & Andrea Maurino. (2014). Capturing the currency of DBpedia descriptions and get insight into their validity. BOA (University of Milano-Bicocca). 1264. 61–72. 6 indexed citations

13.

Smith, Paul J., Luca Panziera, & Keith Beven. (2014). Forecasting flash floods using data-based mechanistic models and NORA radar rainfall forecasts. Hydrological Sciences Journal. 59(7). 1403–1417. 18 indexed citations

14.

Liechti, Katharina, Luca Panziera, Urs Germann, & Massimiliano Zappa. (2013). Flash-flood early warning using weather radar data: from nowcasting to forecasting. EGUGA. 2 indexed citations

15.

Liechti, Katharina, Luca Panziera, Urs Germann, & Massimiliano Zappa. (2013). The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps. Hydrology and earth system sciences. 17(10). 3853–3869. 34 indexed citations

16.

Liechti, Katharina, Luca Panziera, Urs Germann, & Massimiliano Zappa. (2013). Flash-flood early warning using weather radar data: from nowcasting to forecasting. 6 indexed citations

17.

Panziera, Luca, Marco Comerio, Matteo Palmonari, Flavio De Paoli, & Carlo Batini. (2012). Quality-driven extraction, fusion and matchmaking of semantic web API descriptions. Journal of Web Engineering. 11(3). 247–268. 16 indexed citations

18.

Smith, Paul J., Keith Beven, Luca Panziera, & Urs Germann. (2012). Flash flood forecasting using Data-Based Mechanistic models and radar rainfall forecasts. Lancaster EPrints (Lancaster University). 3 indexed citations

19.

Panziera, Luca, Marco Comerio, Matteo Palmonari, & Flavio De Paoli. (2011). Distributed matchmaking and ranking of Web APIs exploiting descriptions from Web sources. BOA (University of Milano-Bicocca). 1–8. 7 indexed citations

20.

Mandapaka, Pradeep V., Urs Germann, Luca Panziera, & Alessandro Hering. (2011). Can Lagrangian Extrapolation of Radar Fields Be Used for Precipitation Nowcasting over Complex Alpine Orography?. Weather and Forecasting. 27(1). 28–49. 53 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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