Robert Sabatier

80 papers receiving 2.0k citations

Peers

Robert Sabatier
Comparison fields: 5 of 189
  • Computational Mathematics 25
  • Analytical Chemistry 167
  • Global and Planetary Change 344
  • Health, Toxicology and Mutagenesis 200
  • Nature and Landscape Conservation 161
Replace D. J. Best with:
D. J. Best Australia
Yves Escoufier France
K. Ruben Gabriel United States
Florian Rohart Australia
Marcia L. Gumpertz United States
Sara Taskinen Finland
Fabian Scheipl Germany
Thomas W. Yee New Zealand
Benoît Gautier France
Kenneth J. Berry United States
Robert Sabatier relative to D. J. Best Australia D. J. Best's profile →
Citations per field
00.5×4.2×
D. J. Best · 1×
Citations per year

Countries citing papers authored by Robert Sabatier

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sabatier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Sabatier, 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 Robert Sabatier Line = papers co-authored together Robert Sabatier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004225
2 1994188
3 2017131
4 2018110
5 200083
6 201980
7
Principal component analysis with instrumental variables as a tool for modelling composition data Daniel
198973
8 200766
9 201363
10 199555
11 199949
12 200348
13 199945
14 201043
15 200041
16 199039
17 199837
18 201334
19 200433
20 202128

About Robert Sabatier

Robert Sabatier is a scholar working on Analytical Chemistry, Molecular Biology, Global and Planetary Change, Food Science and Statistics and Probability, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (14 papers), Sensory Analysis and Statistical Methods (8 papers), Advanced Chemical Sensor Technologies (7 papers), Hydrology and Drought Analysis (7 papers), Advanced Statistical Methods and Models (7 papers), Water Quality Monitoring and Analysis (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Computational Mathematics (25 citations), Analytical Chemistry (167 citations), Global and Planetary Change (344 citations), Health, Toxicology and Mutagenesis (200 citations) and Nature and Landscape Conservation (161 citations). Robert Sabatier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christelle Reynès, Yves Escoufier, Pierre Traissac, Gérard Lefranc, Christelle Pommie, Marie‐Paule Lefranc, Jean-François Durand, Nicolas Pujol, Luc Neppel and Daniel Chessel. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Chemometrics, Scientific Reports, animal and Comptes Rendus Biologies.

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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