Marc Boullé

1.3k total citations
34 papers, 479 citations indexed

About

Marc Boullé is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Marc Boullé has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Signal Processing. Recurrent topics in Marc Boullé's work include Machine Learning and Data Classification (12 papers), Data Mining Algorithms and Applications (11 papers) and Machine Learning and Algorithms (8 papers). Marc Boullé is often cited by papers focused on Machine Learning and Data Classification (12 papers), Data Mining Algorithms and Applications (11 papers) and Machine Learning and Algorithms (8 papers). Marc Boullé collaborates with scholars based in France, Israel and Réunion. Marc Boullé's co-authors include Vincent Lemaire, Gideon Dror, Isabelle Guyon, David S. Vogel, Fabrice Clérot, Carine Hue, Nicolas Lachiche, Isabelle Guyon and Fabrice Rossi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Machine Learning.

In The Last Decade

Marc Boullé

32 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Boullé France	12	327	140	85	79	62	34	479
Tapio Elomaa Finland	12	375 1.1×	150 1.1×	110 1.3×	73 0.9×	97 1.6×	39	564
Le Gruenwald United States	10	228 0.7×	203 1.4×	82 1.0×	110 1.4×	47 0.8×	24	456
Jingnian Chen China	5	364 1.1×	189 1.4×	46 0.5×	28 0.4×	95 1.5×	16	526
Andrzej Janusz Poland	13	309 0.9×	164 1.2×	188 2.2×	100 1.3×	62 1.0×	48	577
Cheng-Ru Lin Taiwan	9	206 0.6×	254 1.8×	153 1.8×	193 2.4×	73 1.2×	15	446
Hakan Altınçay Cyprus	14	348 1.1×	110 0.8×	43 0.5×	65 0.8×	85 1.4×	40	472
Janice R. Boughton Australia	4	429 1.3×	135 1.0×	66 0.8×	41 0.5×	54 0.9×	5	574
Chien-Chung Chan United States	13	313 1.0×	284 2.0×	311 3.7×	71 0.9×	70 1.1×	42	641
Adán José-García France	8	209 0.6×	49 0.3×	41 0.5×	33 0.4×	59 1.0×	16	348

Countries citing papers authored by Marc Boullé

Since Specialization

Citations

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

Fields of papers citing papers by Marc Boullé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Boullé

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Boullé. A scholar is included among the top collaborators of Marc Boullé 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 Marc Boullé. Marc Boullé 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

Boullé, Marc, et al.. (2022). Fast and fully-automated histograms for large-scale data sets. Computational Statistics & Data Analysis. 180. 107668–107668. 1 indexed citations

Boullé, Marc, et al.. (2018). A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data. Machine Learning. 108(2). 229–266. 6 indexed citations

Boullé, Marc, et al.. (2016). A user parameter-free approach for mining robust sequential classification rules. Knowledge and Information Systems. 52(1). 53–81. 23 indexed citations

Boullé, Marc, et al.. (2015). TESS: Temporal event sequence summarization. 1–10. 1 indexed citations

Boullé, Marc, et al.. (2013). Construction de descripteurs à partir du coclustering pour la classification supervisée de séries temporelles. HAL (Le Centre pour la Communication Scientifique Directe).

Boullé, Marc. (2012). Functional data clustering via piecewise constant nonparametric density estimation. Pattern Recognition. 45(12). 4389–4401. 18 indexed citations

Boullé, Marc, et al.. (2011). A supervised approach for change detection in data streams. 519–526. 10 indexed citations

Guyon, Isabelle, Vincent Lemaire, Marc Boullé, Gideon Dror, & David S. Vogel. (2010). Design and analysis of the KDD cup 2009. ACM SIGKDD Explorations Newsletter. 11(2). 68–76. 15 indexed citations

Boullé, Marc. (2009). A Parameter-Free Classification Method for Large Scale Learning. Journal of Machine Learning Research. 10(46). 1367–1385. 6 indexed citations

10.

Boullé, Marc. (2009). Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach. Advances in Data Analysis and Classification. 3(1). 39–61. 6 indexed citations

11.

Boullé, Marc, et al.. (2009). A non-parametric semi-supervised discretization method. Knowledge and Information Systems. 24(1). 35–57. 16 indexed citations

12.

Boullé, Marc. (2007). Compression-Based Averaging of Selective Naive Bayes Classifiers. Journal of Machine Learning Research. 8(58). 1659–1685. 47 indexed citations

13.

Hue, Carine & Marc Boullé. (2007). A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning. Journal of Machine Learning Research. 8(90). 2727–2754. 4 indexed citations

14.

Boullé, Marc. (2007). Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge. IEEE International Conference on Neural Networks. 14. 3092–3097. 3 indexed citations

15.

Boullé, Marc. (2006). Regularization and Averaging of the Selective Na&#239;ve Bayes classifier. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1680–1688. 4 indexed citations

16.

Boullé, Marc. (2006). Regularization and Averaging of the Selective Naïve Bayes classifier. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1680–1688. 2 indexed citations

17.

Boullé, Marc. (2006). MODL: A Bayes optimal discretization method for continuous attributes. Machine Learning. 65(1). 131–165. 82 indexed citations

18.

Boullé, Marc. (2005). A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes. Journal of Machine Learning Research. 6(49). 1431–1452. 18 indexed citations

19.

Boullé, Marc. (2004). A Bayesian Approach For SupervisedDiscretization. WIT transactions on information and communication technologies. 33. 1 indexed citations

20.

Boullé, Marc. (2004). Khiops: A Statistical Discretization Method of Continuous Attributes. Machine Learning. 55(1). 53–69. 76 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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