Christophe Ambroise

4.4k total citations · 2 hit papers
50 papers, 2.6k citations indexed

About

Christophe Ambroise is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Christophe Ambroise has authored 50 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Christophe Ambroise's work include Bayesian Methods and Mixture Models (12 papers), Bioinformatics and Genomic Networks (12 papers) and Gene expression and cancer classification (11 papers). Christophe Ambroise is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Bioinformatics and Genomic Networks (12 papers) and Gene expression and cancer classification (11 papers). Christophe Ambroise collaborates with scholars based in France, Australia and Netherlands. Christophe Ambroise's co-authors include Geoffrey J. McLachlan, Kim‐Anh Do, Étienne Birmelé, Pierre Latouche, Catherine Matias, G. Govaert, Yves Grandvalet, Vincent Mièle, Julien Chiquet and Sylvie Thiria and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Christophe Ambroise

48 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Selection bias in gene extraction on the basis of microarray gene-expression data

2002 1.0k citations Christophe Ambroise, Geoffrey J. McLachlan profile →
Analyzing Microarray Gene Expression Data

2004 626 citations Geoffrey J. McLachlan, Kim‐Anh Do et al. Wiley series in probability and statistics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christophe Ambroise France	18	1.1k	729	257	228	214	50	2.6k
Ulisses Braga-Neto United States	33	1.3k 1.2×	636 0.9×	197 0.8×	157 0.7×	387 1.8×	135	3.4k
Ka Yee Yeung United States	21	2.2k 2.1×	1.0k 1.4×	230 0.9×	279 1.2×	357 1.7×	56	3.7k
Ping Ma China	31	794 0.7×	569 0.8×	377 1.5×	128 0.6×	133 0.6×	204	3.3k
Maria L. Rizzo United States	18	395 0.4×	678 0.9×	782 3.0×	93 0.4×	160 0.7×	30	2.7k
Cesare Furlanello Italy	34	1.5k 1.4×	582 0.8×	68 0.3×	261 1.1×	266 1.2×	120	4.7k
David N. Reshef United States	6	486 0.5×	508 0.7×	117 0.5×	56 0.2×	171 0.8×	6	2.5k
Vladimir Makarenkov Canada	31	717 0.7×	1.3k 1.8×	53 0.2×	275 1.2×	427 2.0×	83	4.0k
Guido Sanguinetti United Kingdom	37	2.6k 2.4×	488 0.7×	74 0.3×	560 2.5×	252 1.2×	135	4.2k
Hua Zhou United States	22	515 0.5×	282 0.4×	270 1.1×	398 1.7×	108 0.5×	105	2.0k
Pat Brown United States	8	1.7k 1.5×	599 0.8×	196 0.8×	341 1.5×	183 0.9×	26	3.4k

Countries citing papers authored by Christophe Ambroise

Since Specialization

Citations

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

Fields of papers citing papers by Christophe Ambroise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Ambroise

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Ambroise. A scholar is included among the top collaborators of Christophe Ambroise based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christophe Ambroise. Christophe Ambroise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sykulski, Adam M., et al.. (2023). Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations. SHILAP Revista de lepidopterología. 23(1). 46–46. 4 indexed citations

Robin, Stéphane, et al.. (2021). Accounting for Missing Actors in Interaction Network Inference from Abundance Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 70(5). 1230–1258. 3 indexed citations

Robin, Stéphane, et al.. (2020). Tree‐based inference of species interaction networks from abundance data. Methods in Ecology and Evolution. 11(5). 621–632. 17 indexed citations

Gautreau, Guillaume, Adelme Bazin, Rémi Planel, et al.. (2020). PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. PLoS Computational Biology. 16(3). e1007732–e1007732. 121 indexed citations

Chiquet, Julien, et al.. (2020). Fast computation of genome-metagenome interaction effects. Algorithms for Molecular Biology. 15(1). 13–13. 3 indexed citations

Ambroise, Christophe, et al.. (2019). Adjacency-constrained hierarchical clustering of a band similarity\n matrix with application to Genomics. arXiv (Cornell University). 16 indexed citations

Enjalbert, Jérôme, Vincent Allard, Christophe Ambroise, et al.. (2019). A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat. Field Crops Research. 242. 107571–107571. 17 indexed citations

Palomares, Marie-Ange, Cyril Dalmasso, Éric Bonnet, et al.. (2019). Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples. Scientific Reports. 9(1). 7550–7550. 26 indexed citations

Sow, Mamadou Dia, Isabel Allona, Christophe Ambroise, et al.. (2018). Chapter twelve - epigenetics in forest trees: state of the art and potential implications for breeding and management in a context of climate change.. 88. 387–453. 9 indexed citations

10.

Ambroise, Christophe, et al.. (2015). Performance of a blockwise approach in variable selection using linkage disequilibrium information. BMC Bioinformatics. 16(1). 148–148. 19 indexed citations

11.

Latouche, Pierre, Étienne Birmelé, & Christophe Ambroise. (2014). Model selection in overlapping stochastic block models. Electronic Journal of Statistics. 8(1). 9 indexed citations

12.

Bouaziz, Matthieu, Caroline Paccard, Mickaël Guedj, & Christophe Ambroise. (2012). SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies. PLoS ONE. 7(10). e45685–e45685. 14 indexed citations

13.

Ambroise, Christophe & Catherine Matias. (2011). New Consistent and Asymptotically Normal Parameter Estimates for Random-Graph Mixture Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 74(1). 3–35. 36 indexed citations

14.

Volant, Stevenn, et al.. (2010). Clustering based on random graph model embedding vertex features. Pattern Recognition Letters. 31(9). 830–836. 43 indexed citations

15.

Latouche, Pierre, Étienne Birmelé, & Christophe Ambroise. (2009). Assessing a mixture model for graphs with a non asymptotic approximation of the marginal likelihood. arXiv (Cornell University).

16.

Latouche, Pierre, Étienne Birmelé, & Christophe Ambroise. (2008). Bayesian Methods for Graph Clustering.. 229–239. 3 indexed citations

17.

Birmelé, Étienne, Mohamed Elati, Céline Rouveirol, & Christophe Ambroise. (2008). Identification of functional modules based on transcriptional regulation structure. BMC Proceedings. 2(S4). S4–S4. 8 indexed citations

18.

McLachlan, Geoffrey J., Kim‐Anh Do, & Christophe Ambroise. (2004). Analyzing Microarray Gene Expression Data. Wiley series in probability and statistics. 626 indexed citations breakdown →

19.

McLachlan, Geoffrey J., et al.. (2004). On the simultaneous use of clinical and microarray expression data in the cluster analysis of tissue samples. Queensland's institutional digital repository (The University of Queensland). 29. 167–171. 1 indexed citations

20.

Ambroise, Christophe & Yves Grandvalet. (2001). Prediction of ozone peaks by mixture models. Ecological Modelling. 145(2-3). 275–289. 6 indexed citations

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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