Olivier Caelen

21 papers and 1.5k indexed citations i.

About

Olivier Caelen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Accounting. According to data from OpenAlex, Olivier Caelen has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 4 papers in Accounting. Recurrent topics in Olivier Caelen’s work include Imbalanced Data Classification Techniques (16 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Machine Learning and Data Classification (4 papers). Olivier Caelen is often cited by papers focused on Imbalanced Data Classification Techniques (16 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Machine Learning and Data Classification (4 papers). Olivier Caelen collaborates with scholars based in Belgium, France and Germany. Olivier Caelen's co-authors include Gianluca Bontempi, Andrea Dal Pozzolo, Yann‐Aël Le Borgne, R. A. Johnson, Giacomo Boracchi, Cesare Alippi, Fabrizio Carcillo, Pierre-Édouard Portier, Michael Granitzer and Liyun He-Guelton and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Olivier Caelen i

Fields of papers citing papers by Olivier Caelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Olivier Caelen

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025