Adrien Bibal
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
Papers in
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- Data Visualization and Analytics 8
- Face and Expression Recognition 7
- Advanced Image and Video Retrieval Techniques 1
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- Explainable Artificial Intelligence (XAI) 9
- Text Readability and Simplification 3
- Logic, programming, and type systems 1
- Co-authors
- Benoît Frénay (17 shared papers)Alexandre de Streel (1 shared paper)Patrick Watrin (3 shared papers)Thomas François (3 shared papers)Sébastien Combéfis (1 shared paper)Peter Van Roy (1 shared paper)Xiaoou Wang (1 shared paper)Liesbeth Vandewinckele (1 shared paper)
In The Last Decade
Adrien Bibal
25 papers receiving 426 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 20
- Artificial Intelligence 195
- Computer Science Applications 18
- Radiation 27
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Adrien Bibal
This map shows the geographic impact of Adrien Bibal'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 Adrien Bibal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Bibal more than expected).
Fields of papers citing papers by Adrien Bibal
This network shows the impact of papers produced by Adrien Bibal. 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 Adrien Bibal. The network helps show where Adrien Bibal may publish in the future.
Co-authors
The 22 scholars most cited alongside Adrien Bibal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | Interpretability of machine learning models and representations: an introduction. | 2016 | 63 |
| 3 | 2022 | 59 | |
| 4 | 2022 | 50 | |
| 5 | 2023 | 28 | |
| 6 | 2021 | 23 | |
| 7 | Recasting a traditional course into a MOOC by means of a SPOC | 2014 | 21 |
| 8 | 2021 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | Finding the most interpretable MDS rotation for sparse linear models based on external features. | 2018 | 7 |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | Achieving Rotational Invariance with Bessel-Convolutional Neural Networks | 2021 | 5 |
| 16 | ML + FV = ♡? A Survey on the Application of Machine Learning to Formal Verification. | 2018 | 4 |
| 17 | 2021 | 4 | |
| 18 | GanoDIP - GAN Anomaly Detection through Intermediate Patches:a PCBA Manufacturing Case | 2021 | 4 |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Adrien Bibal
Adrien Bibal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Information Systems and Industrial and Manufacturing Engineering, having authored 26 papers that have together received 452 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (9 papers), Data Visualization and Analytics (8 papers), Face and Expression Recognition (7 papers), Text Readability and Simplification (3 papers), Data Mining Algorithms and Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Formal Methods in Verification (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Health Informatics (20 citations), Artificial Intelligence (195 citations), Computer Science Applications (18 citations), Radiation (27 citations) and Computer Vision and Pattern Recognition (67 citations). Adrien Bibal has collaborated with scholars based in Belgium, Germany and Sweden. Frequent co-authors include Benoît Frénay, Alexandre de Streel, Patrick Watrin, Thomas François, Sébastien Combéfis, Peter Van Roy, Xiaoou Wang, Liesbeth Vandewinckele, Dan T. D. Nguyen and Gilmer Valdés. Their work appears in journals such as Neurocomputing, IEEE Transactions on Artificial Intelligence, Physics in Medicine and Biology, IEEE Transactions on Visualization and Computer Graphics and Array.
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.