Denis Allard

3.5k citations
76 papers · 2.3k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Denis Allard

72 papers receiving 2.1k citations

Hit Papers

Bayesian Graphical Models for Discrete Data 1995 · 683 citations
6831995202620052015200400600

Peers

Denis Allard
Comparison fields: 5 of 140
  • Environmental Engineering 683
  • Statistics and Probability 305
  • Global and Planetary Change 499
  • Atmospheric Science 269
  • General Economics, Econometrics and Finance 124
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F. Jay Breidt United States
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Citations per field
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Citations per year

Countries citing papers authored by Denis Allard

Since Specialization
Citations

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

Fields of papers citing papers by Denis Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Denis Allard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Denis Allard Line = papers co-authored together Denis Allard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20230
5 202210
6 20205
7 2020115
8 20208
9 201838
10 201729
11
Simulations géostatistique de modèles de réservoir à maille irrégulière utilisant des méthodes non-linéaires de la géostatistique
20152
12 200924
13 20071
14 200749
15 200613
16 20066
17
Improving Working Situations Through Participatory Ergonomics and Training
20012
18 200114
19 20004
20 20005

About Denis Allard

Denis Allard is a scholar working on Environmental Engineering, Global and Planetary Change, Radiological and Ultrasound Technology, Geochemistry and Petrology and Urban Studies, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (29 papers), Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (9 papers), Geochemistry and Geologic Mapping (9 papers), Hydrology and Drought Analysis (7 papers), Bayesian Methods and Mixture Models (5 papers), Reservoir Engineering and Simulation Methods (5 papers) and Point processes and geometric inequalities (5 papers). The work is most often cited by research in Environmental Engineering (683 citations), Statistics and Probability (305 citations), Global and Planetary Change (499 citations), Atmospheric Science (269 citations) and General Economics, Econometrics and Finance (124 citations). Denis Allard has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Jeremy York, David Madigan, Philippe Renard, Frédéric Baret, Sébastien Garrigues, Philippe Naveau, Marie Weiss, Chris Fraley, Mathieu Vrac and Yoann Robin. Their work appears in journals such as Mathematical Geosciences, Spatial Statistics, Stochastic Environmental Research and Risk Assessment, Remote Sensing of Environment and Statistics and Computing.

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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