Céline Scheidt

1.5k total citations
32 papers, 1.0k citations indexed

About

Céline Scheidt is a scholar working on Ocean Engineering, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Céline Scheidt has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ocean Engineering, 16 papers in Environmental Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Céline Scheidt's work include Reservoir Engineering and Simulation Methods (24 papers), Soil Geostatistics and Mapping (10 papers) and Groundwater flow and contamination studies (8 papers). Céline Scheidt is often cited by papers focused on Reservoir Engineering and Simulation Methods (24 papers), Soil Geostatistics and Mapping (10 papers) and Groundwater flow and contamination studies (8 papers). Céline Scheidt collaborates with scholars based in United States, Israel and Denmark. Céline Scheidt's co-authors include Jef Caers, Darryl Fenwick, Alexandre Boucher, Philippe Renard, Tapan Mukerji, David Hyde, Emma MacKie, Dustin M. Schroeder, Matthew R. Siegfried and Anjali M. Fernandes and has published in prestigious journals such as Geophysics, Computers & Geosciences and SPE Journal.

In The Last Decade

Céline Scheidt

32 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Scheidt United States 16 644 406 400 186 144 32 1.0k
Alain Galli France 15 422 0.7× 384 0.9× 289 0.7× 123 0.7× 244 1.7× 49 979
Erwan Gloaguen Canada 23 612 1.0× 561 1.4× 272 0.7× 700 3.8× 220 1.5× 113 1.4k
Jianbing Wu United States 6 277 0.4× 409 1.0× 184 0.5× 99 0.5× 132 0.9× 12 788
Jeff Boisvert Canada 13 204 0.3× 293 0.7× 225 0.6× 118 0.6× 218 1.5× 48 697
Vasily Demyanov United Kingdom 24 1.0k 1.6× 329 0.8× 765 1.9× 120 0.6× 204 1.4× 109 1.5k
Lin Hu China 15 540 0.8× 439 1.1× 348 0.9× 221 1.2× 102 0.7× 42 984
Tuanfeng Zhang United States 11 314 0.5× 441 1.1× 186 0.5× 158 0.8× 178 1.2× 22 801
Haiyan Zhou China 18 584 0.9× 798 2.0× 204 0.5× 267 1.4× 77 0.5× 42 1.2k
Michael J. Pyrcz United States 23 746 1.2× 356 0.9× 515 1.3× 325 1.7× 160 1.1× 87 1.7k
Thomas Mejer Hansen Denmark 22 858 1.3× 383 0.9× 285 0.7× 971 5.2× 147 1.0× 78 1.5k

Countries citing papers authored by Céline Scheidt

Since Specialization
Citations

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

Fields of papers citing papers by Céline Scheidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Scheidt

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Scheidt. A scholar is included among the top collaborators of Céline Scheidt 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 Céline Scheidt. Céline Scheidt 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.
Yin, Zhen, et al.. (2024). Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry. Surveys in Geophysics. 45(4). 1047–1079. 2 indexed citations
2.
Scheidt, Céline, Lucie Mathieu, Zhen Yin, Lingling Wang, & Jef Caers. (2024). Masked Autoregressive Flow for Geochemical Anomaly Detection with Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada. Natural Resources Research. 34(1). 1–22. 1 indexed citations
3.
Caers, Jef, et al.. (2022). Efficacy of Information in Mineral Exploration Drilling. Natural Resources Research. 31(3). 1157–1173. 10 indexed citations
4.
Scheidt, Céline, et al.. (2022). Sequential Value of Information for Subsurface Exploration Drilling. Natural Resources Research. 31(5). 2413–2434. 5 indexed citations
5.
MacKie, Emma, Dustin M. Schroeder, Jef Caers, Matthew R. Siegfried, & Céline Scheidt. (2020). Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes. Journal of Geophysical Research Earth Surface. 125(3). 33 indexed citations
6.
Scheidt, Céline, et al.. (2018). Quantifying Uncertainty in Subsurface Systems. Geophysical monograph. 116 indexed citations
7.
Hyde, David, et al.. (2018). Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion. Computers & Geosciences. 122. 54–67. 38 indexed citations
8.
Scheidt, Céline, et al.. (2017). Direct forecasting of reservoir performance using production data without history matching. Computational Geosciences. 21(2). 315–333. 32 indexed citations
9.
Scheidt, Céline, Anjali M. Fernandes, Chris Paola, & Jef Caers. (2016). Quantifying natural delta variability using a multiple-point geostatistics prior uncertainty model. Journal of Geophysical Research Earth Surface. 121(10). 1800–1818. 23 indexed citations
10.
Scheidt, Céline, et al.. (2016). DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments. Computers & Geosciences. 97. 15–29. 52 indexed citations
11.
Scheidt, Céline, et al.. (2015). Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case. Geophysics. 80(5). M89–M12. 30 indexed citations
12.
Scheidt, Céline, Anjali M. Fernandes, Chris Paola, & Jef Caers. (2015). Can Geostatistical Models Represent Nature’s Variability? An Analysis Using Flume Experiments. Proceedings. 2 indexed citations
13.
Scheidt, Céline, et al.. (2015). Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal. Computational Geosciences. 19(4). 805–820. 15 indexed citations
14.
Scheidt, Céline, et al.. (2014). Modeling geological scenario uncertainty from seismic data using pattern similarity. 2444–2448. 2 indexed citations
15.
Scheidt, Céline, et al.. (2013). History matching and uncertainty quantification of facies models with multiple geological interpretations. Computational Geosciences. 17(4). 609–621. 78 indexed citations
16.
Scheidt, Céline, et al.. (2010). Mathematical Reformulation of Highly Nonlinear Large-scale Inverse Problem in Metric Space. Proceedings. 2 indexed citations
17.
Scheidt, Céline, et al.. (2010). Rapid Construction of Ensembles of High-resolution Reservoir Models Constrained to Production Data. Proceedings. 1 indexed citations
18.
19.
Scheidt, Céline & Jef Caers. (2008). Representing Spatial Uncertainty Using Distances and Kernels. Mathematical Geosciences. 41(4). 397–419. 199 indexed citations
20.
Scheidt, Céline, et al.. (2007). Toward a Reliable Quantification of Uncertainty on Production Forecasts: Adaptive Experimental Designs. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 62(2). 207–224. 20 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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