Robert Sabatier

81 papers receiving 1.9k citations

Peers

Robert Sabatier
Comparison fields: 5 of 191
  • Computational Mathematics 25
  • Analytical Chemistry 173
  • Health, Toxicology and Mutagenesis 225
  • Global and Planetary Change 344
  • Nature and Landscape Conservation 161
Replace D. J. Best with:
D. J. Best Australia
Florian Rohart Australia
Kenneth J. Berry United States
K. Ruben Gabriel United States
Yves Escoufier France
Fabian Scheipl Germany
Sara Taskinen Finland
Thomas W. Yee New Zealand
Gary W. Oehlert United States
Yi ̆ United States
Robert Sabatier relative to D. J. Best Australia D. J. Best's profile →
Citations per field
00.5×4.3×
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004216
2 1994186
3 2017129
4 2018106
5 200082
6 201978
7
Principal component analysis with instrumental variables as a tool for modelling composition data Daniel
198973
8 200765
9 201362
10 199555
11 199949
12 200348
13 199945
14 201042
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 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (16 papers), Advanced Statistical Methods and Models (8 papers), Sensory Analysis and Statistical Methods (8 papers), Advanced Chemical Sensor Technologies (7 papers), Hydrology and Drought Analysis (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Climate variability and models (4 papers) and Water Quality Monitoring and Analysis (4 papers). The work is most often cited by research in Computational Mathematics (25 citations), Analytical Chemistry (173 citations), Health, Toxicology and Mutagenesis (225 citations), Global and Planetary Change (344 citations) and Nature and Landscape Conservation (161 citations). Robert Sabatier has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Christelle Reynès, Yves Escoufier, Pierre Traissac, Gérard Lefranc, Marie‐Paule Lefranc, Jean-François Durand, Luc Neppel, Nicolas Pujol, Daniel Chessel and Marion Mortamais. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Chemometrics, Scientific Reports, Chemometrics and Intelligent Laboratory Systems and Hydrological Sciences Journal.

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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