Frédéric Oblé

729 total citations
7 papers, 334 citations indexed

About

Frédéric Oblé is a scholar working on Artificial Intelligence, Sociology and Political Science and Accounting. According to data from OpenAlex, Frédéric Oblé has authored 7 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Accounting. Recurrent topics in Frédéric Oblé's work include Imbalanced Data Classification Techniques (6 papers), Data Stream Mining Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Frédéric Oblé is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Data Stream Mining Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Frédéric Oblé collaborates with scholars based in Belgium, Italy and France. Frédéric Oblé's co-authors include Gianluca Bontempi, Yann‐Aël Le Borgne, Olivier Caelen, Yacine Kessaci, Fabrizio Carcillo, Bertrand Lebichot, Liyun He-Guelton and Giacomo Boracchi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Frédéric Oblé

6 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Oblé Belgium 6 292 111 69 59 35 7 334
Yacine Kessaci France 2 242 0.8× 90 0.8× 51 0.7× 49 0.8× 31 0.9× 3 271
Johannes Jurgovsky Germany 4 266 0.9× 101 0.9× 81 1.2× 45 0.8× 35 1.0× 4 307
Pierre-Édouard Portier France 5 363 1.2× 145 1.3× 99 1.4× 64 1.1× 44 1.3× 11 414
Liyun He-Guelton Germany 6 391 1.3× 158 1.4× 112 1.6× 70 1.2× 47 1.3× 8 438
Sylvie Calabretto France 6 378 1.3× 145 1.3× 109 1.6× 65 1.1× 43 1.2× 21 432
Fabrizio Carcillo Belgium 4 447 1.5× 164 1.5× 101 1.5× 76 1.3× 63 1.8× 5 503
Emmanuel Ileberi South Africa 4 269 0.9× 147 1.3× 45 0.7× 71 1.2× 35 1.0× 5 320
David Weston United Kingdom 7 288 1.0× 120 1.1× 97 1.4× 30 0.5× 36 1.0× 14 361
Sam Maes Belgium 5 249 0.9× 89 0.8× 84 1.2× 35 0.6× 33 0.9× 15 288
Jon T.S. Quah Singapore 4 205 0.7× 92 0.8× 95 1.4× 33 0.6× 21 0.6× 8 264

Countries citing papers authored by Frédéric Oblé

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Oblé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Oblé

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Oblé. A scholar is included among the top collaborators of Frédéric Oblé 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 Frédéric Oblé. Frédéric Oblé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Lebichot, Bertrand, et al.. (2024). Assessment of catastrophic forgetting in continual credit card fraud detection. Expert Systems with Applications. 249. 123445–123445. 7 indexed citations
2.
Lebichot, Bertrand, et al.. (2022). The role of diversity and ensemble learning in credit card fraud detection. Advances in Data Analysis and Classification. 18(1). 193–217. 13 indexed citations
3.
Lebichot, Bertrand, et al.. (2021). Incremental learning strategies for credit cards fraud detection. International Journal of Data Science and Analytics. 12(2). 165–174. 24 indexed citations
4.
Lebichot, Bertrand, et al.. (2021). Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access. 9. 114754–114766. 16 indexed citations
5.
Lebichot, Bertrand, et al.. (2020). Incremental learning strategies for credit cards fraud detection: Extended abstract. 785–786. 7 indexed citations
6.
Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, et al.. (2019). Combining unsupervised and supervised learning in credit card fraud detection. Information Sciences. 557. 317–331. 266 indexed citations
7.
Oblé, Frédéric, et al.. (2001). Une typologie des attitudes vis-à-vis du risque alimentaire. Revue française du marketing. 149–168. 1 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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