Olivier Atteia

1.5k total citations
67 papers, 1.1k citations indexed

About

Olivier Atteia is a scholar working on Environmental Engineering, Ocean Engineering and Geochemistry and Petrology. According to data from OpenAlex, Olivier Atteia has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Environmental Engineering, 15 papers in Ocean Engineering and 15 papers in Geochemistry and Petrology. Recurrent topics in Olivier Atteia's work include Groundwater flow and contamination studies (43 papers), Groundwater and Isotope Geochemistry (13 papers) and Enhanced Oil Recovery Techniques (13 papers). Olivier Atteia is often cited by papers focused on Groundwater flow and contamination studies (43 papers), Groundwater and Isotope Geochemistry (13 papers) and Enhanced Oil Recovery Techniques (13 papers). Olivier Atteia collaborates with scholars based in France, Switzerland and Australia. Olivier Atteia's co-authors include Patrick Höhener, Henri Bertin, Michel Franceschi, Laurent André, Étienne Dambrine, Grégory Cohen, Benoı̂t Pollier, Anne Poszwa, Didier Perret and Henning Prommer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Geochimica et Cosmochimica Acta.

In The Last Decade

Olivier Atteia

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Atteia France 20 525 339 206 191 160 67 1.1k
Jean M. Bahr United States 20 675 1.3× 326 1.0× 149 0.7× 114 0.6× 184 1.1× 43 1.1k
Alessandro Brovelli Switzerland 20 521 1.0× 250 0.7× 129 0.6× 196 1.0× 167 1.0× 43 1.3k
Jerzy Jankowski Australia 19 469 0.9× 814 2.4× 214 1.0× 85 0.4× 232 1.4× 39 1.3k
A. Yakirevich Israel 22 615 1.2× 191 0.6× 173 0.8× 85 0.4× 400 2.5× 57 1.1k
Greg Bickerton Canada 20 378 0.7× 192 0.6× 404 2.0× 199 1.0× 184 1.1× 32 1.3k
James M. Thomas United States 20 405 0.8× 471 1.4× 244 1.2× 74 0.4× 310 1.9× 47 1.3k
P. Zuddas France 25 331 0.6× 531 1.6× 230 1.1× 71 0.4× 211 1.3× 73 1.7k
James W. Weaver United States 18 330 0.6× 168 0.5× 273 1.3× 101 0.5× 90 0.6× 55 952
Zhilin Guo China 17 489 0.9× 244 0.7× 75 0.4× 103 0.5× 227 1.4× 52 934
Honghan Chen China 28 380 0.7× 426 1.3× 141 0.7× 238 1.2× 401 2.5× 183 2.5k

Countries citing papers authored by Olivier Atteia

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Atteia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Atteia

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Atteia. A scholar is included among the top collaborators of Olivier Atteia 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 Olivier Atteia. Olivier Atteia 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.
Honeiné, Paul, et al.. (2024). A generative deep neural network as an alternative to co-kriging. SHILAP Revista de lepidopterología. 24. 100198–100198. 2 indexed citations
2.
Cohen, Grégory, et al.. (2023). Chlorinated solvents source identification by nonlinear optimization method. Environmental Monitoring and Assessment. 195(4). 531–531. 1 indexed citations
3.
Cohen, Grégory, et al.. (2021). Effect of NAPL mixture and alteration on 222Rn partitioning coefficients: Implications for NAPL subsurface contamination quantification. The Science of The Total Environment. 791. 148210–148210. 12 indexed citations
4.
Atteia, Olivier, et al.. (2020). Use of saponin foam reinforced with colloidal particles as an application to soil remediation: Experiments in a 2D tank. Journal of Contaminant Hydrology. 238. 103761–103761. 6 indexed citations
5.
Cohen, Grégory, et al.. (2020). Soil carbon dioxide fluxes to atmosphere: The role of rainfall to control CO2 transport. Applied Geochemistry. 127. 104854–104854. 14 indexed citations
6.
Schäfer, David, Jing Sun, James D. Jamieson, et al.. (2020). Model-Based Analysis of Reactive Transport Processes Governing Fluoride and Phosphate Release and Attenuation during Managed Aquifer Recharge. Environmental Science & Technology. 54(5). 2800–2811. 23 indexed citations
7.
Atteia, Olivier, et al.. (2019). Saponin foam for soil remediation: On the use of polymer or solid particles to enhance foam resistance against oil. Journal of Contaminant Hydrology. 228. 103560–103560. 25 indexed citations
8.
Cohen, Grégory, et al.. (2019). Laboratory-scale experimental and modelling investigations of 222Rn profiles in chemically heterogeneous LNAPL contaminated vadose zones. The Science of The Total Environment. 681. 456–466. 18 indexed citations
9.
Pryet, Alexandre, et al.. (2019). An iterative strategy for contaminant source localisation using GLMA optimization and Data Worth on two synthetic 2D Aquifers. Journal of Contaminant Hydrology. 228. 103554–103554. 13 indexed citations
10.
11.
Delerue, Florian, Jean‐François Masfaraud, Jean‐François Lascourrèges, & Olivier Atteia. (2018). A multi-site approach to investigate the role of toxicity and confounding factors on plant bioassay results. Chemosphere. 219. 482–492. 4 indexed citations
12.
Atteia, Olivier, et al.. (2017). Elucidating the fate of a mixed toluene, DHM, methanol, and i-propanol plume during in situ bioremediation. Journal of Contaminant Hydrology. 201. 6–18. 5 indexed citations
13.
Atteia, Olivier, et al.. (2017). Removal of NAPL from columns by oxidation, sparging, surfactant and thermal treatment. Chemosphere. 188. 182–189. 27 indexed citations
14.
Cohen, Grégory, et al.. (2016). LNAPL source zone delineation using soil gases in a heterogeneous silty-sand aquifer. Journal of Contaminant Hydrology. 192. 20–34. 17 indexed citations
15.
Atteia, Olivier, et al.. (2016). Identification and quantification of redox and pH buffering processes in a heterogeneous, low carbonate aquifer during managed aquifer recharge. Water Resources Research. 52(5). 4003–4025. 34 indexed citations
16.
Atteia, Olivier, et al.. (2016). Comparison of Oil Transmissivity Methods Using Bail‐Down Test Data. Groundwater Monitoring & Remediation. 36(3). 73–83. 6 indexed citations
17.
Höhener, Patrick, Martin Elsner, Heinrich Eisenmann, & Olivier Atteia. (2015). Improved constraints on in situ rates and on quantification of complete chloroethene degradation from stable carbon isotope mass balances in groundwater plumes. Journal of Contaminant Hydrology. 182. 173–182. 8 indexed citations
18.
Sappin‐Didier, Valérie, et al.. (2014). Comparison of soil solution sampling techniques to assess metal fluxes from contaminated soil to groundwater. Environmental Monitoring and Assessment. 186(12). 8929–8941. 1 indexed citations
19.
Höhener, Patrick & Olivier Atteia. (2013). Rayleigh equation for evolution of stable isotope ratios in contaminant decay chains. Geochimica et Cosmochimica Acta. 126. 70–77. 16 indexed citations
20.
Atteia, Olivier, et al.. (2001). Aggregation rates of natural particle populations. Water Research. 35(10). 2429–2434. 8 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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