Andrea Piacentini

1.8k citations
50 papers · 859 indexed · h-index 20

Andrea Piacentini

49 papers receiving 830 citations

Peers

Andrea Piacentini
Comparison fields: 5 of 64
  • Atmospheric Science 684
  • Global and Planetary Change 667
  • Oceanography 107
  • Water Science and Technology 111
  • Environmental Engineering 99
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Detlev Majewski Germany
Martin Ehrendorfer Austria
Ross Bannister United Kingdom
Almut Gaßmann Germany
Michael S. Fox‐Rabinovitz United States
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Countries citing papers authored by Andrea Piacentini

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Piacentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Andrea Piacentini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrea Piacentini Line = papers co-authored together Andrea Piacentini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20235
4 20236
5
Uncertainty Reduction in Fluvial Flood Re-analysis by Assimilating SAR-derived Flood Extent Maps
20221
6 20229
7 202226
8 20201
9 202011
10 20209
11 202014
12 201914
13 20183
14 201624
15
O-Palm: an open source dynamic parallel coupler
201119
16
Towards real-time flood forecasting in hydraulics: merits of in situ discharge and water level data assimilation for the modeling of the Marne catchment in France
20111
17
Data assimilation experiments within the POGEQA project
20091
18
Study of the transport pathways in the African upper troposphere during the monsoon season based upon the assimilation of spaceborne CO observations in a CTM.
20082
19 200565
20
Optimal Determination Of Nudging Coefficients
20031

About Andrea Piacentini

Andrea Piacentini is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 50 papers that have together received 859 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (24 papers), Atmospheric chemistry and aerosols (18 papers), Atmospheric Ozone and Climate (17 papers), Flood Risk Assessment and Management (16 papers), Atmospheric and Environmental Gas Dynamics (15 papers), Climate variability and models (11 papers), Hydrology and Watershed Management Studies (11 papers) and Oceanographic and Atmospheric Processes (6 papers). The work is most often cited by research in Atmospheric Science (684 citations), Global and Planetary Change (667 citations) and Oceanography (107 citations). Andrea Piacentini has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include S. Massart, François‐Xavier Le Dimet, D. Cariolle, Samuel Buis, L. El Amraoui, Olivier Thual, Anthony Weaver, Sophie Ricci, Olivier Pannekoucke and Vincent‐Henri Peuch. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

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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