Nicolas Desassis

403 total citations
21 papers, 201 citations indexed

About

Nicolas Desassis is a scholar working on Environmental Engineering, Ecology and Artificial Intelligence. According to data from OpenAlex, Nicolas Desassis has authored 21 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 6 papers in Ecology and 5 papers in Artificial Intelligence. Recurrent topics in Nicolas Desassis's work include Soil Geostatistics and Mapping (7 papers), Remote Sensing in Agriculture (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). Nicolas Desassis is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Remote Sensing in Agriculture (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). Nicolas Desassis collaborates with scholars based in France, Morocco and Denmark. Nicolas Desassis's co-authors include Etienne K. Klein, Didier Renard, Sylvie Oddou‐Muratorio, Thomas Romary, Mark Noble, Alexandrine Gesret, Denis Allard, Samuel Soubeyrand, Joël Chadœuf and Agnès Rivière and has published in prestigious journals such as Molecular Ecology, Geophysical Journal International and Hydrology and earth system sciences.

In The Last Decade

Nicolas Desassis

18 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Desassis France 6 56 51 48 47 47 21 201
Raphaël Nussbaumer Switzerland 11 18 0.3× 44 0.9× 14 0.3× 18 0.4× 34 0.7× 23 220
Hannes Mollenhauer Germany 7 13 0.2× 84 1.6× 7 0.1× 10 0.2× 8 0.2× 20 186
Defeng Zhu China 11 206 3.7× 28 0.5× 84 1.8× 34 0.7× 15 451
Dominique Weber Switzerland 9 12 0.2× 52 1.0× 5 0.1× 30 0.6× 7 0.1× 25 301
N.G. Smith Panama 5 722 12.9× 5 0.1× 88 1.8× 9 0.2× 19 0.4× 6 886
Florence Courdier France 4 21 0.4× 14 0.3× 3 0.1× 94 2.0× 12 0.3× 6 184
Francesco Holecz Italy 11 3 0.1× 133 2.6× 8 0.2× 16 0.3× 51 1.1× 18 346
Simone Gatto Italy 4 7 0.1× 79 1.5× 2 0.0× 61 1.3× 39 0.8× 8 300
Haly Neely United States 8 8 0.1× 89 1.7× 5 0.1× 4 0.1× 4 0.1× 28 204
Jean‐Daniel Sylvain Canada 8 2 0.0× 93 1.8× 12 0.3× 56 1.2× 6 0.1× 22 265

Countries citing papers authored by Nicolas Desassis

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Desassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Desassis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Desassis. A scholar is included among the top collaborators of Nicolas Desassis 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 Desassis. Nicolas Desassis 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.
Beauchamp, Maxime, et al.. (2025). Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors. SPIRE - Sciences Po Institutional REpository. 4(3).
2.
Grimaud, Jean‐Louis, Nicolas Desassis, Didier Renard, et al.. (2025). Kriging Alluvial Thicknesses in Valley Bottoms Using Nonstationary Geometric Anisotropies. Mathematical Geosciences. 57(7). 1379–1399.
3.
Desassis, Nicolas, et al.. (2025). Two-Dimensional Stochastic Structural Geomodeling with Deep Generative Adversarial Networks. Mathematical Geosciences. 57(6). 1095–1114.
4.
Desassis, Nicolas, et al.. (2024). A stable deep adversarial learning approach for geological facies generation. Computers & Geosciences. 190. 105638–105638. 2 indexed citations
5.
Allard, Denis, et al.. (2024). The SPDE approach for spatio-temporal datasets with advection and diffusion. Spatial Statistics. 62. 100847–100847. 4 indexed citations
6.
Allard, Denis, et al.. (2022). A general framework for SPDE-based stationary random fields. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
7.
Desassis, Nicolas, et al.. (2022). Geostatistics for Large Datasets on Riemannian Manifolds: A Matrix-Free Approach. Journal of Data Science. 512–532. 9 indexed citations
8.
Allard, Denis, et al.. (2021). A general framework for SPDE-based stationary random fields. Bernoulli. 28(1). 4 indexed citations
9.
Petitgas, Pierre, Didier Renard, Nicolas Desassis, et al.. (2020). Analysing Temporal Variability in Spatial Distributions Using Min–Max Autocorrelation Factors: Sardine Eggs in the Bay of Biscay. Mathematical Geosciences. 52(3). 337–354. 4 indexed citations
10.
Flipo, Nicolas, et al.. (2019). Technical note: Water table mapping accounting for river–aquifer connectivity and human pressure. Hydrology and earth system sciences. 23(11). 4835–4849. 4 indexed citations
11.
Renard, Didier, et al.. (2019). Inference of PluriGaussian Model Parameters in SPDE Framework. 1–5. 1 indexed citations
12.
Desassis, Nicolas, et al.. (2019). PluriGaussian Simulations with the Stochastic Partial Differential Equation (SPDE) Approach. 1–5. 1 indexed citations
13.
Gesret, Alexandrine, et al.. (2014). Propagation of the velocity model uncertainties to the seismic event location. Geophysical Journal International. 200(1). 52–66. 47 indexed citations
14.
Gesret, Alexandrine, et al.. (2013). Microseismic Monitoring - Consequences of Velocity Model Uncertainties on Event Location Uncertainties. Proceedings. 2 indexed citations
15.
Desassis, Nicolas & Didier Renard. (2012). Automatic Variogram Modeling by Iterative Least Squares: Univariate and Multivariate Cases. Mathematical Geosciences. 45(4). 453–470. 36 indexed citations
16.
Gesret, Alexandrine, et al.. (2011). Microseismic monitoring: consequences of velocity model uncertainties on location uncertainties. Proceedings. 2 indexed citations
17.
Kretzschmar, André, Samuel Soubeyrand, & Nicolas Desassis. (2009). Aggregation patterns in hierarchy/proximity spaces. Ecological Complexity. 7(1). 21–31. 1 indexed citations
18.
Soubeyrand, Samuel, et al.. (2009). Inference with a contrast-based posterior distribution and application in spatial statistics. Statistical Methodology. 6(5). 466–477. 6 indexed citations
19.
Klein, Etienne K., Nicolas Desassis, & Sylvie Oddou‐Muratorio. (2008). Pollen flow in the wildservice tree, Sorbus torminalis (L.) Crantz. IV. Whole interindividual variance of male fecundity estimated jointly with the dispersal kernel. Molecular Ecology. 17(14). 3323–3336. 61 indexed citations
20.
Soubeyrand, Samuel, Rémy Beaudouin, Nicolas Desassis, & Gilles Monod. (2007). Model-based estimation of the link between the daily survival probability and a time-varying covariate, application to mosquitofish survival data. Mathematical Biosciences. 210(2). 508–522. 4 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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