Rémi Domingues

472 total citations · 1 hit paper
3 papers, 322 citations indexed

About

Rémi Domingues is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Rémi Domingues has authored 3 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Signal Processing. Recurrent topics in Rémi Domingues's work include Anomaly Detection Techniques and Applications (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Statistical Methods and Models (1 paper). Rémi Domingues is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Gaussian Processes and Bayesian Inference (1 paper) and Advanced Statistical Methods and Models (1 paper). Rémi Domingues collaborates with scholars based in France. Rémi Domingues's co-authors include Maurizio Filippone and Pietro Michiardi and has published in prestigious journals such as Pattern Recognition, Machine Learning and KTH Publication Database DiVA (KTH Royal Institute of Technology).

In The Last Decade

Rémi Domingues

3 papers receiving 312 citations

Hit Papers

A comparative evaluation of outlier detection algorithms:... 2017 2026 2020 2023 2017 100 200 300

Peers

Rémi Domingues
Rémi Domingues
Citations per year, relative to Rémi Domingues Rémi Domingues (= 1×) peers Mohamed Jaward Bah

Countries citing papers authored by Rémi Domingues

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Domingues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Domingues

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

All Works

3 of 3 papers shown
1.
Domingues, Rémi, et al.. (2018). Deep Gaussian Process autoencoders for novelty detection. Machine Learning. 107(8-10). 1363–1383. 10 indexed citations
2.
Domingues, Rémi, et al.. (2017). A comparative evaluation of outlier detection algorithms: Experiments and analyses. Pattern Recognition. 74. 406–421. 311 indexed citations breakdown →
3.
Domingues, Rémi. (2015). Machine Learning for Unsupervised Fraud Detection. KTH Publication Database DiVA (KTH Royal Institute of Technology). 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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