Christophe Abraham
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
- Data Management and Algorithms
Papers in
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- Advanced Statistical Methods and Models 10
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 4
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- Bayesian Methods and Mixture Models 8
- Bayesian Modeling and Causal Inference 4
- Co-authors
- Éric Matzner-Løber (1 shared paper)Nicolas Molinari (1 shared paper)Benoı̂t Cadre (7 shared papers)Gérard Biau (3 shared papers)Gérard Biau (2 shared papers)Pierre Pudlo (2 shared papers)Meïli Baragatti (2 shared papers)Jean‐Pierre Daurès (3 shared papers)
In The Last Decade
Christophe Abraham
25 papers receiving 458 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 148
- Signal Processing 75
- Artificial Intelligence 217
- Mathematical Physics 52
- Geometry and Topology 32
Countries citing papers authored by Christophe Abraham
This map shows the geographic impact of Christophe Abraham'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 Christophe Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Abraham more than expected).
Fields of papers citing papers by Christophe Abraham
This network shows the impact of papers produced by Christophe Abraham. 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 Christophe Abraham. The network helps show where Christophe Abraham may publish in the future.
Co-authors
The 20 scholars most cited alongside Christophe Abraham, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 227 | |
| 2 | 2002 | 41 | |
| 3 | 2008 | 37 | |
| 4 | 2003 | 31 | |
| 5 | 2006 | 23 | |
| 6 | 2003 | 19 | |
| 7 | 2012 | 17 | |
| 8 | 2016 | 14 | |
| 9 | 2011 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2004 | 12 | |
| 12 | 2004 | 8 | |
| 13 | 2000 | 6 | |
| 14 | 1999 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2002 | 4 | |
| 17 | 2001 | 4 | |
| 18 | 2004 | 3 | |
| 19 | 1991 | 3 | |
| 20 | 2004 | 2 |
About Christophe Abraham
Christophe Abraham is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Mathematical Physics, having authored 27 papers that have together received 494 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (10 papers), Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Process Monitoring (4 papers), Bayesian Modeling and Causal Inference (4 papers), Mathematical Dynamics and Fractals (2 papers) and Wildlife Ecology and Conservation (2 papers). The work is most often cited by research in Statistics and Probability (148 citations), Signal Processing (75 citations), Artificial Intelligence (217 citations), Mathematical Physics (52 citations) and Geometry and Topology (32 citations). Christophe Abraham has collaborated with scholars based in France, Morocco and Canada. Frequent co-authors include Éric Matzner-Løber, Nicolas Molinari, Benoı̂t Cadre, Gérard Biau, Gérard Biau, Pierre Pudlo, Meïli Baragatti, Jean‐Pierre Daurès, Rémi Servien and Nicolas Molinari. Their work appears in journals such as Journal of Multivariate Analysis, Journal of Mathematical Analysis and Applications, Statistics in Medicine, Journal of Statistical Planning and Inference and International Journal of Approximate Reasoning.
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.