Djallel Bouneffouf
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Explainable Artificial Intelligence (XAI)
Papers in
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- Reinforcement Learning in Robotics 20
- Machine Learning and Algorithms 11
- Data Stream Mining Techniques 9
- Machine Learning and Data Classification 7
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- Advanced Bandit Algorithms Research 34
- Co-authors
- Irina Rish (9 shared papers)Charų C. Aggarwal (2 shared papers)Raphaël Féraud (7 shared papers)Amel Bouzeghoub (5 shared papers)Nicholas Mattei (5 shared papers)Francesca Rossi (5 shared papers)Baihan Lin (18 shared papers)Guillermo Cecchi (15 shared papers)
- Journals
- IBM Journal of Research and Development (2 papers)Lecture notes in computer science (10 papers)Neurocomputing (1 paper)Automatica (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Djallel Bouneffouf
56 papers receiving 724 citations
Peers
Comparison fields: 5 of 96
- Management Science and Operations Research 303
- Artificial Intelligence 432
- Safety Research 81
- Health Informatics 10
- Information Systems 119
Countries citing papers authored by Djallel Bouneffouf
This map shows the geographic impact of Djallel Bouneffouf'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 Djallel Bouneffouf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djallel Bouneffouf more than expected).
Fields of papers citing papers by Djallel Bouneffouf
This network shows the impact of papers produced by Djallel Bouneffouf. 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 Djallel Bouneffouf. The network helps show where Djallel Bouneffouf may publish in the future.
Co-authors
The 25 scholars most cited alongside Djallel Bouneffouf, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2012 | 65 | |
| 3 | 2020 | 55 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 36 | |
| 6 | 2014 | 35 | |
| 7 | 2016 | 31 | |
| 8 | 2014 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2012 | 19 | |
| 14 | 2013 | 19 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 8 |
About Djallel Bouneffouf
Djallel Bouneffouf is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Experimental and Cognitive Psychology and Electrical and Electronic Engineering, having authored 63 papers that have together received 763 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (34 papers), Reinforcement Learning in Robotics (20 papers), Machine Learning and Algorithms (11 papers), Recommender Systems and Techniques (10 papers), Data Stream Mining Techniques (9 papers), Mental Health Research Topics (8 papers), Machine Learning and Data Classification (7 papers) and Smart Grid Energy Management (7 papers). The work is most often cited by research in Management Science and Operations Research (303 citations), Artificial Intelligence (432 citations), Safety Research (81 citations), Health Informatics (10 citations) and Information Systems (119 citations). Djallel Bouneffouf has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Irina Rish, Charų C. Aggarwal, Raphaël Féraud, Amel Bouzeghoub, Nicholas Mattei, Francesca Rossi, Baihan Lin, Guillermo Cecchi, Kush R. Varshney and Yunfeng Zhang. Their work appears in journals such as IBM Journal of Research and Development, Lecture notes in computer science, Neurocomputing, Automatica and Translational Psychiatry.
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.