Cécile Gomez

8.9k total citations · 3 hit papers
76 papers, 4.7k citations indexed

About

Cécile Gomez is a scholar working on Environmental Engineering, Artificial Intelligence and Ecology. According to data from OpenAlex, Cécile Gomez has authored 76 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Environmental Engineering, 48 papers in Artificial Intelligence and 24 papers in Ecology. Recurrent topics in Cécile Gomez's work include Soil Geostatistics and Mapping (62 papers), Geochemistry and Geologic Mapping (48 papers) and Remote Sensing in Agriculture (24 papers). Cécile Gomez is often cited by papers focused on Soil Geostatistics and Mapping (62 papers), Geochemistry and Geologic Mapping (48 papers) and Remote Sensing in Agriculture (24 papers). Cécile Gomez collaborates with scholars based in France, India and Tunisia. Cécile Gomez's co-authors include Philippe Lagacherie, Raphael A. Viscarra Rossel, Alex B. McBratney, Guillaume Coulouma, F. Poulet, B. Gondet, John F. Mustard, N. Mangold, R. E. Arvidson and J. P. Bibring and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Cécile Gomez

74 papers receiving 4.6k citations

Hit Papers

Phyllosilicates on Mars and implications for early martia... 2005 2026 2012 2019 2005 2008 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cécile Gomez France 33 2.5k 1.7k 1.5k 1.2k 815 76 4.7k
Carlos Roberto de Souza Filho Brazil 38 1.1k 0.4× 1.8k 1.0× 974 0.7× 541 0.5× 89 0.1× 185 4.8k
Raymond F. Kokaly United States 31 1.2k 0.5× 1.4k 0.8× 2.4k 1.6× 360 0.3× 99 0.1× 99 5.5k
Milton O. Smith United States 16 970 0.4× 646 0.4× 1.9k 1.3× 307 0.3× 104 0.1× 40 3.4k
Sabine Chabrillat Germany 29 2.0k 0.8× 1.4k 0.8× 1.1k 0.8× 21 0.0× 568 0.7× 113 3.0k
Benoît Rivard Canada 41 990 0.4× 1.4k 0.8× 2.1k 1.5× 63 0.1× 93 0.1× 148 5.0k
Kathleen B. Heidebrecht United States 9 782 0.3× 1.4k 0.8× 1.3k 0.9× 77 0.1× 75 0.1× 16 3.6k
A. F. H. Goetz United States 18 853 0.3× 1.7k 1.0× 937 0.6× 104 0.1× 49 0.1× 63 3.7k
T. Woldai South Africa 18 625 0.2× 1.4k 0.8× 277 0.2× 47 0.0× 132 0.2× 67 2.6k
Claudia Notarnicola Italy 35 2.3k 0.9× 79 0.0× 989 0.7× 283 0.2× 210 0.3× 219 4.7k
Keith E. Livo United States 12 439 0.2× 1.1k 0.6× 557 0.4× 459 0.4× 25 0.0× 58 2.6k

Countries citing papers authored by Cécile Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cécile Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Cécile Gomez. A scholar is included among the top collaborators of Cécile Gomez 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 Cécile Gomez. Cécile Gomez 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.
2.
Dharumarajan, S., et al.. (2024). Assessing the utility of Munsell soil color in building and evaluating spectral models for soil clay content prediction. Soil Science Society of America Journal. 88(4). 1186–1199. 3 indexed citations
4.
Dollinger, Jeanne, et al.. (2024). Application of mid-infrared spectroscopy to the prediction and specification of pesticide sorption: A promising and cost-effective tool. Environmental Pollution. 345. 123566–123566. 5 indexed citations
5.
Richer-De-Forges, Anne C, Qianqian Chen, Nicolas Baghdadi, et al.. (2023). Remote Sensing Data for Digital Soil Mapping in French Research—A Review. Remote Sensing. 15(12). 3070–3070. 24 indexed citations
6.
Rosin, Nícolas Augusto, José Alexandre Melo Demattê, Raúl Roberto Poppiel, et al.. (2023). Mapping Brazilian soil mineralogy using proximal and remote sensing data. Geoderma. 432. 116413–116413. 26 indexed citations
7.
Chen, Songchao, Nicolas Saby, Manuel Martín, et al.. (2023). Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping. Geoderma. 433. 116467–116467. 25 indexed citations
8.
Rossel, Raphael A. Viscarra, Thorsten Behrens, Eyal Ben‐Dor, et al.. (2022). Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century. European Journal of Soil Science. 73(4). 75 indexed citations
9.
Shetty, Amba, et al.. (2022). Impact of Atmospheric Correction Methods Parametrization on Soil Organic Carbon Estimation Based on Hyperion Hyperspectral Data. Remote Sensing. 14(20). 5117–5117. 6 indexed citations
10.
Gomez, Cécile, et al.. (2022). Satellite Multi-Sensor Data Fusion for Soil Clay Mapping Based on the Spectral Index and Spectral Bands Approaches. Remote Sensing. 14(5). 1103–1103. 28 indexed citations
11.
Gomez, Cécile, et al.. (2022). Using PRISMA Hyperspectral Satellite Imagery and GIS Approaches for Soil Fertility Mapping (FertiMap) in Northern Morocco. Remote Sensing. 14(16). 4080–4080. 48 indexed citations
12.
Gomez, Cécile, S. Dharumarajan, Jean‐Baptiste Féret, et al.. (2019). Use of Sentinel-2 Time-Series Images for Classification and Uncertainty Analysis of Inherent Biophysical Property: Case of Soil Texture Mapping. Remote Sensing. 11(5). 565–565. 58 indexed citations
13.
Lagacherie, Philippe, Dominique Arrouays, Hocine Bourennane, et al.. (2018). How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery. Geoderma. 337. 1320–1328. 52 indexed citations
15.
Annabi, Mohamed, Damien Raclot, Haithem Bahri, et al.. (2017). Spatial variability of soil aggregate stability at the scale of an agricultural region in Tunisia. CATENA. 153. 157–167. 62 indexed citations
16.
Gomez, Cécile, et al.. (2017). Sensitivity of clay content prediction to spectral configuration of VNIR/SWIR imaging data, from multispectral to hyperspectral scenarios. Remote Sensing of Environment. 204. 18–30. 75 indexed citations
17.
Gomez, Cécile, Asa Gholizadeh, Luboš Borůvka, & Philippe Lagacherie. (2016). Using legacy data for correction of soil surface clay content predicted from VNIR/SWIR hyperspectral airborne images. Geoderma. 276. 84–92. 31 indexed citations
19.
Lagacherie, Philippe, et al.. (2013). Combining hyperspectral imagery and legacy measured soil profiles to map subsurface soil properties in a Mediterranean area (Cap-Bon, Tunisia). EGUGA. 1 indexed citations
20.
Gomez, Cécile, et al.. (2008). EVOLUCIÓN DE LA CUBIERTA VEGETAL Y LA RED TRÓFICA EDÁFICA TRAS LA INCORPORACIÓN DE RESIDUOS ORGÁNICOS EN LAS LABORES DE RESTAURACIÓN FORESTAL DE UN ÁREA QUEMADA. Cuadernos de la Sociedad Española de Ciencias Forestales. 339–344. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026