F. Zagolski

542 total citations
36 papers, 419 citations indexed

About

F. Zagolski is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, F. Zagolski has authored 36 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 15 papers in Ecology and 14 papers in Atmospheric Science. Recurrent topics in F. Zagolski's work include Atmospheric chemistry and aerosols (13 papers), Remote Sensing in Agriculture (12 papers) and Atmospheric Ozone and Climate (12 papers). F. Zagolski is often cited by papers focused on Atmospheric chemistry and aerosols (13 papers), Remote Sensing in Agriculture (12 papers) and Atmospheric Ozone and Climate (12 papers). F. Zagolski collaborates with scholars based in France, Canada and United States. F. Zagolski's co-authors include Jean‐Philippe Gastellu‐Etchegorry, Valérie Demarez, R. Santer, A. Bannari, Denis Morin, Alfredo Huete, Pierre Guillevic, V. Trichon, M. Leroy and Donald W. Deering and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

F. Zagolski

33 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Zagolski France 9 293 219 200 73 65 36 419
Raymond Soffer Canada 12 350 1.2× 169 0.8× 191 1.0× 61 0.8× 51 0.8× 27 527
Stefan Suess Germany 9 315 1.1× 242 1.1× 141 0.7× 89 1.2× 41 0.6× 9 482
Susan Meerdink United States 8 211 0.7× 195 0.9× 175 0.9× 113 1.5× 54 0.8× 14 493
C. Leprieur France 6 454 1.5× 274 1.3× 216 1.1× 106 1.5× 129 2.0× 7 564
Robert A. Chastain United States 9 345 1.2× 227 1.0× 154 0.8× 78 1.1× 63 1.0× 12 494
Christine A. Hlavka United States 9 320 1.1× 160 0.7× 136 0.7× 70 1.0× 126 1.9× 22 426
Yaotong Cai China 10 321 1.1× 291 1.3× 139 0.7× 125 1.7× 56 0.9× 20 480
Margarita Huesca Spain 15 367 1.3× 316 1.4× 193 1.0× 72 1.0× 73 1.1× 39 538
Arthur Vincent France 2 402 1.4× 180 0.8× 173 0.9× 135 1.8× 105 1.6× 2 547
O. Fernández‐Manso Spain 6 457 1.6× 405 1.8× 239 1.2× 58 0.8× 38 0.6× 8 586

Countries citing papers authored by F. Zagolski

Since Specialization
Citations

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

Fields of papers citing papers by F. Zagolski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Zagolski

This figure shows the co-authorship network connecting the top 25 collaborators of F. Zagolski. A scholar is included among the top collaborators of F. Zagolski 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 F. Zagolski. F. Zagolski 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.
Zagolski, F. & Constant Mazeran. (2023). Uncertainty of atmospheric scattering functions relevant for Satellite Ocean Colour Radiometry in European Seas. International Journal of Remote Sensing. 45(23). 8778–8806. 1 indexed citations
2.
Liberti, Gian Luigi, Davide D’Alimonte, Alcide di Sarra, et al.. (2020). European Radiometry Buoy and Infrastructure (EURYBIA): A Contribution to the Design of the European Copernicus Infrastructure for Ocean Colour System Vicarious Calibration. Remote Sensing. 12(7). 1178–1178. 8 indexed citations
3.
Santer, R., et al.. (2015). Natural variability of aerosol inherent optical properties: consequences for atmospheric correction over water. International Journal of Remote Sensing. 36(9). 2460–2485. 1 indexed citations
4.
Santer, R., et al.. (2014). Validation of atmospheric scattering functions used in atmospheric correction over the ocean. International Journal of Remote Sensing. 35(13). 4984–5003. 6 indexed citations
5.
Santer, R., et al.. (2012). Inherent optical properties of the aerosols for OLCI/Sentinel-3: From micro-physical properties to optical properties using AERONET. 1 indexed citations
6.
Santer, R., et al.. (2012). Validation of the MERIS atmospheric correction over ocean using AERONET. 1 indexed citations
7.
Gastellu‐Etchegorry, Jean‐Philippe, et al.. (2005). Assessment of forest canopy chemistry with ISM. SPIRE - Sciences Po Institutional REpository. 2. 999–1001.
8.
Zagolski, F., R. Santer, Jérôme Vidot, & F. Thieuleux. (2005). Validation of the MERIS Atmospheric Correction over Water Using Ground-Based Measurements of the Solar Extinction and of the Sky Radiances. 597. 4 indexed citations
9.
Santer, R., et al.. (2003). Radiative Transfer Code Comparison for Meris Vicarious Calibration. ESASP. 531. 2 indexed citations
10.
Zagolski, F. & Jean‐Philippe Gastellu‐Etchegorry. (2002). Atmospheric corrections of AVIRIS images with a procedure based on the inversion of 5S model. 1. 44–46. 2 indexed citations
11.
Demarez, Valérie, Jean‐Philippe Gastellu‐Etchegorry, F. Zagolski, et al.. (2002). Remote sensing spectrometry of a temperate deciduous forest-a modeling approach. SPIRE - Sciences Po Institutional REpository. 2. 1002–1004. 1 indexed citations
12.
13.
Zagolski, F., et al.. (2000). Sensitivity of SAR Speckle Filtering on the Assessment of Surface Roughness and Soil Moisture Content. ESASP. 450. 213. 1 indexed citations
14.
Nezry, E., et al.. (1997). Retrieval of environmental and geophysical parameters through Bayesian fusion of ERS and RADARSAT data. 414. 119–122. 6 indexed citations
15.
Nezry, E., et al.. (1997). <title>Control-systems principles applied to speckle filtering and geophysical information extraction in multichannel SAR images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3217. 48–57. 8 indexed citations
16.
Bannari, A., Alfredo Huete, Denis Morin, & F. Zagolski. (1996). Effets de la couleur et de la brillance du sol sur les indices de végétation. International Journal of Remote Sensing. 17(10). 1885–1906. 52 indexed citations
17.
Gastellu‐Etchegorry, Jean‐Philippe, et al.. (1996). A simple anisotropic reflectance model for homogeneous multilayer canopies. Remote Sensing of Environment. 57(1). 22–38. 25 indexed citations
18.
Zagolski, F., D. Alcaydé, J. Fontanari, et al.. (1996). Forest canopy chemistry with high spectral resolution remote sensing. International Journal of Remote Sensing. 17(6). 1107–1128. 55 indexed citations
19.
Zagolski, F. & Jean‐Philippe Gastellu‐Etchegorry. (1995). Atmospheric corrections of AVIRI8 images with a procedure based on the inversion of the 58 model. International Journal of Remote Sensing. 16(16). 3115–3146. 15 indexed citations
20.
Gastellu‐Etchegorry, Jean‐Philippe, et al.. (1995). An assessment of canopy chemistry with AVIRIS—a case study in the Landes Forest, South-west France. International Journal of Remote Sensing. 16(3). 487–501. 27 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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