Adrien Bennetot

8.6k total citations · 1 hit paper
5 papers, 5.0k citations indexed

About

Adrien Bennetot is a scholar working on Artificial Intelligence, Health Informatics and Infectious Diseases. According to data from OpenAlex, Adrien Bennetot has authored 5 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Health Informatics and 0 papers in Infectious Diseases. Recurrent topics in Adrien Bennetot's work include Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Machine Learning and Algorithms (1 paper). Adrien Bennetot is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Machine Learning and Algorithms (1 paper). Adrien Bennetot collaborates with scholars based in France, Spain and Austria. Adrien Bennetot's co-authors include Natalia Díaz-Rodríguez, Raja Chatila, Javier Del Ser, Sergio Gil-López, Salvador García, Richard Benjamins, Alberto Barbado, Siham Tabik, Daniel Molina and Francisco Herrera and has published in prestigious journals such as ACM Computing Surveys, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Adrien Bennetot

5 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

2019 5.0k citations Natalia Díaz-Rodríguez, Javier Del Ser et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adrien Bennetot France	5	3.0k	664	637	387	327	5	5.0k
Alberto Barbado Spain	3	3.0k 1.0×	656 1.0×	632 1.0×	377 1.0×	325 1.0×	5	5.0k
Richard Benjamins Spain	10	3.1k 1.0×	664 1.0×	658 1.0×	389 1.0×	326 1.0×	28	5.3k
Sergio Gil-López Spain	21	3.3k 1.1×	654 1.0×	635 1.0×	465 1.2×	331 1.0×	52	6.6k
Riccardo Guidotti Italy	19	2.8k 0.9×	549 0.8×	386 0.6×	325 0.8×	184 0.6×	71	4.6k
Amina Adadi Morocco	10	2.1k 0.7×	448 0.7×	416 0.7×	314 0.8×	187 0.6×	19	3.5k
Natalia Díaz-Rodríguez Spain	19	4.2k 1.4×	972 1.5×	834 1.3×	782 2.0×	447 1.4×	49	7.3k
Mohammed Berrada Morocco	12	2.0k 0.7×	422 0.6×	409 0.6×	301 0.8×	169 0.5×	48	3.6k
Siham Tabik Spain	27	3.8k 1.3×	719 1.1×	644 1.0×	1.3k 3.3×	708 2.2×	63	7.6k
Anna Monreale Italy	22	2.6k 0.9×	337 0.5×	349 0.5×	345 0.9×	122 0.4×	82	4.3k
Simone Stumpf United Kingdom	27	1.8k 0.6×	409 0.6×	547 0.9×	441 1.1×	128 0.4×	89	3.9k

Countries citing papers authored by Adrien Bennetot

Since Specialization

Citations

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

Fields of papers citing papers by Adrien Bennetot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrien Bennetot

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

All Works

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5 of 5 papers shown

1.

Bennetot, Adrien, Ivan Donadello, Mauro Dragoni, et al.. (2024). A Practical Tutorial on Explainable AI Techniques. ACM Computing Surveys. 57(2). 1–44. 29 indexed citations

2.

Bennetot, Adrien, et al.. (2022). Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks. 155. 95–118. 13 indexed citations

3.

Bennetot, Adrien, Ivan Donadello, Mauro Dragoni, et al.. (2022). A Practical Guide on Explainable Ai Techniques Applied on Biomedical Use Case Applications. SSRN Electronic Journal. 5 indexed citations

4.

Bennetot, Adrien, Gianni Franchi, Javier Del Ser, Raja Chatila, & Natalia Díaz-Rodríguez. (2022). Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowledge-Based Systems. 258. 109947–109947. 24 indexed citations

5.

Díaz-Rodríguez, Natalia, Javier Del Ser, Adrien Bennetot, et al.. (2019). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion. 58. 82–115. 4972 indexed citations breakdown →

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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