Nicolas Viltard

758 total citations
34 papers, 569 citations indexed

About

Nicolas Viltard is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Nicolas Viltard has authored 34 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Nicolas Viltard's work include Meteorological Phenomena and Simulations (29 papers), Precipitation Measurement and Analysis (24 papers) and Tropical and Extratropical Cyclones Research (9 papers). Nicolas Viltard is often cited by papers focused on Meteorological Phenomena and Simulations (29 papers), Precipitation Measurement and Analysis (24 papers) and Tropical and Extratropical Cyclones Research (9 papers). Nicolas Viltard collaborates with scholars based in France, United States and Senegal. Nicolas Viltard's co-authors include Christian D. Kummerow, Frank Roux, William S. Olson, Marielle Gosset, Rémy Roca, Pierre‐Emmanuel Kirstetter, Péter Bauer, Philippe Chambon, Wei‐Kuo Tao and Daniel E. Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nicolas Viltard

33 papers receiving 551 citations

Peers

Nicolas Viltard
Alain Caya Canada
V. Perov Sweden
David Simonin United Kingdom
Steven M. Cavallo United States
S. Rugg United States
Lígia Bernardet United States
Chong Wu China
Alain Caya Canada
Nicolas Viltard
Citations per year, relative to Nicolas Viltard Nicolas Viltard (= 1×) peers Alain Caya

Countries citing papers authored by Nicolas Viltard

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Viltard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Viltard

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Viltard. A scholar is included among the top collaborators of Nicolas Viltard 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 Nicolas Viltard. Nicolas Viltard 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.
Ghiggi, Gionata, et al.. (2023). Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach. Atmospheric measurement techniques. 16(4). 911–940. 4 indexed citations
2.
Delanoe͏̈, Julien, et al.. (2023). Calibration Transfer Methodology for Cloud Radars Based on Ice Cloud Observations. Journal of Atmospheric and Oceanic Technology. 40(7). 773–788. 1 indexed citations
3.
Viltard, Nicolas, et al.. (2022). Unsupervised domain adaptation for Global Precipitation Measurement satellite constellation using Cycle Generative Adversarial Nets. SHILAP Revista de lepidopterología. 1. 1 indexed citations
4.
Barthès, Laurent, et al.. (2021). Using Deep Learning for Restoration of Precipitation Echoes in Radar Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 10 indexed citations
5.
Roca, Rémy, Hélène Brogniez, Philippe Chambon, et al.. (2015). The Megha-Tropiques mission: a review after three years in orbit. Frontiers in Earth Science. 3. 50 indexed citations
6.
Chen, Shuyi S., Brandon W. Kerns, David P. Jorgensen, et al.. (2015). Aircraft Observations of Dry Air, the ITCZ, Convective Cloud Systems, and Cold Pools in MJO during DYNAMO. Bulletin of the American Meteorological Society. 97(3). 405–423. 41 indexed citations
7.
Viltard, Nicolas, et al.. (2013). Use of S-PolKa Particles IDentification and TMI and MADRAS brightness temperatures to characterize the ice microphysics in rain systems as a function of their life cycle.. EGUGA.
8.
Kirstetter, Pierre‐Emmanuel, Nicolas Viltard, & Marielle Gosset. (2012). An error model for instantaneous satellite rainfall estimates: evaluation of BRAIN‐TMI over West Africa. Quarterly Journal of the Royal Meteorological Society. 139(673). 894–911. 43 indexed citations
9.
Chambon, Philippe, I. Jobard, Rémy Roca, & Nicolas Viltard. (2012). An investigation of the error budget of tropical rainfall accumulation derived from merged passive microwave and infrared satellite measurements. Quarterly Journal of the Royal Meteorological Society. 139(673). 879–893. 28 indexed citations
10.
Lemaître, Yvon & Nicolas Viltard. (2012). 3D wind field retrieval from spaceborne Doppler radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8523. 85230Q–85230Q. 1 indexed citations
11.
Jenkins, Gregory S., Paul A. Kucera, E. Joseph, et al.. (2010). Coastal observations of weather features in Senegal during the African Monsoon Multidisciplinary Analysis Special Observing Period 3. Journal of Geophysical Research Atmospheres. 115(D18). 15 indexed citations
12.
Jenkins, Gregory S., Paul A. Kucera, José D. Fuentes, et al.. (2009). Coastal Observations of Weather Features in Senegal during the AMMA SOP-3 Period. NASA Technical Reports Server (NASA). 1 indexed citations
13.
Hourdin, F., et al.. (2009). Comparison of Rainfall Profiles in the West African Monsoon as Depicted by TRMM PR and the LMDZ Climate Model. Monthly Weather Review. 138(5). 1767–1777. 2 indexed citations
14.
Scialom, G., et al.. (2008). RONSARD Radar: Implementation of Dual Polarization on a C-Band Doppler Weather Radar. IEEE Geoscience and Remote Sensing Letters. 6(1). 132–136. 6 indexed citations
15.
Desbois, Michel, Michel Capdérou, Laurence Eymard, et al.. (2007). Megha-Tropiques : un satellite hydrométéorologique franco-indien. La Météorologie. 8(57). 19–19. 18 indexed citations
16.
Machado, Luiz A. T., et al.. (2007). Rainfall sensitivity analyses for the HSB sounder: an Amazon case study. International Journal of Remote Sensing. 28(16). 3529–3545. 4 indexed citations
17.
Olson, William S., Péter Bauer, Nicolas Viltard, et al.. (2001). A Melting-Layer Model for Passive/Active Microwave Remote Sensing Applications. Part I: Model Formulation and Comparison with Observations. Journal of Applied Meteorology. 40(7). 1145–1163. 65 indexed citations
18.
Mallet, Cécile, Nicolas Viltard, & Emmanuel Moreau. (2001). ESTIMATION OF RAINFALL FROM TRMM-TMI AND PRECIPITATION RADAR USING NEURAL NETWORK APPROACH. 1 indexed citations
19.
Viltard, Nicolas, et al.. (1998). Retrieval of Precipitation from Microwave Airborne Sensors during TOGA COARE. Journal of Applied Meteorology. 37(7). 701–717. 6 indexed citations
20.
Marécal, Virginie, et al.. (1997). Rain Relations Inferred from Microphysical Data in TOGA COARE and Their Use to Test a Rain-Profiling Method from Radar Measurements at Ku-Band. Journal of Applied Meteorology. 36(12). 1629–1646. 18 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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