Éric Matzner-Løber
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Statistical Methods and Inference 10
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 2
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Nicolas Molinari (8 shared papers)Christophe Abraham (1 shared paper)Philippe Soyer (2 shared papers)Anne‐Sophie Jannot (1 shared paper)Mehdi Benchoufi (1 shared paper)Nicolas Hengartner (7 shared papers)Arnaud Guyader (4 shared papers)Leslie Hatton (1 shared paper)
- Journals
- Diagnostic and Interventional Imaging (2 papers)ESAIM Probability and Statistics (2 papers)Thrombosis Research (1 paper)Biochemical and Biophysical Research Communications (1 paper)Canadian Journal of Statistics (1 paper)
- Partner nations
- FranceUnited StatesGreece
In The Last Decade
Éric Matzner-Løber
29 papers receiving 756 citations
Éric Matzner-Løber's Hit Papers
Peers
Comparison fields: 5 of 144
- Statistics and Probability 134
- Signal Processing 68
- Artificial Intelligence 193
- Obstetrics and Gynecology 36
- Statistics, Probability and Uncertainty 29
Countries citing papers authored by Éric Matzner-Løber
This map shows the geographic impact of Éric Matzner-Løber'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 Éric Matzner-Løber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Matzner-Løber more than expected).
Fields of papers citing papers by Éric Matzner-Løber
This network shows the impact of papers produced by Éric Matzner-Løber. 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 Éric Matzner-Løber. The network helps show where Éric Matzner-Løber may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Matzner-Løber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interobserver agreement issues in radiology Hit paper breakdown → | 2020 | 241 |
| 2 | 2003 | 234 | |
| 3 | 2015 | 49 | |
| 4 | 2011 | 46 | |
| 5 | 2020 | 45 | |
| 6 | 1998 | 21 | |
| 7 | 2002 | 18 | |
| 8 | 2010 | 18 | |
| 9 | R for Statistics | 2012 | 14 |
| 10 | 2011 | 13 | |
| 11 | 2012 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2007 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2008 | 8 | |
| 17 | 2020 | 5 | |
| 18 | 2012 | 4 | |
| 19 | Statistique avec R | 2008 | 4 |
| 20 | 1998 | 4 |
About Éric Matzner-Løber
Éric Matzner-Løber is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 792 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers), Control Systems and Identification (3 papers), Horticultural and Viticultural Research (2 papers), Statistical Methods and Bayesian Inference (2 papers), Image and Signal Denoising Methods (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (134 citations), Signal Processing (68 citations), Artificial Intelligence (193 citations), Obstetrics and Gynecology (36 citations) and Statistics, Probability and Uncertainty (29 citations). Éric Matzner-Løber has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Nicolas Molinari, Christophe Abraham, Philippe Soyer, Anne‐Sophie Jannot, Mehdi Benchoufi, Nicolas Hengartner, Arnaud Guyader, Leslie Hatton, Alain Berlinet and Ali Gannoun. Their work appears in journals such as Diagnostic and Interventional Imaging, ESAIM Probability and Statistics, Thrombosis Research, Biochemical and Biophysical Research Communications and Canadian Journal of Statistics.
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.