Djallel Bouneffouf
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Explainable Artificial Intelligence (XAI)
- Data Stream Mining Techniques
- Machine Learning and Data Classification
Papers in
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- Reinforcement Learning in Robotics 16
- Machine Learning and Algorithms 9
- Machine Learning and Data Classification 6
- Data Stream Mining Techniques 5
- Explainable Artificial Intelligence (XAI) 4
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- Advanced Bandit Algorithms Research 22
- Co-authors
- Irina Rish (6 shared papers)Charų C. Aggarwal (2 shared papers)Raphaël Féraud (5 shared papers)Kush R. Varshney (5 shared papers)Nicholas Mattei (4 shared papers)Francesca Rossi (4 shared papers)Baihan Lin (13 shared papers)İnanç Birol (3 shared papers)
- Journals
- IBM Journal of Research and Development (2 papers)IEEE Internet Computing (1 paper)Automatica (1 paper)Translational Psychiatry (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Djallel Bouneffouf
39 papers receiving 373 citations
Peers
Comparison fields: 5 of 85
- Management Science and Operations Research 132
- Artificial Intelligence 218
- Health Informatics 9
- Safety Research 43
- General Decision Sciences 5
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2020 | 44 | |
| 3 | 2016 | 39 | |
| 4 | 2020 | 29 | |
| 5 | 2016 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 19 | |
| 8 | 2019 | 13 | |
| 9 | 2016 | 9 | |
| 10 | 2019 | 9 | |
| 11 | Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering | 2015 | 7 |
| 12 | 2016 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 6 | |
| 15 | Beyond Backprop: Alternating Minimization with co-Activation Memory. | 2018 | 4 |
| 16 | 2022 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Djallel Bouneffouf
Djallel Bouneffouf is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology and Information Systems, having authored 44 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (22 papers), Reinforcement Learning in Robotics (16 papers), Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (6 papers), Optimization and Search Problems (5 papers), Data Stream Mining Techniques (5 papers), Mental Health Research Topics (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Management Science and Operations Research (132 citations), Artificial Intelligence (218 citations), Health Informatics (9 citations), Safety Research (43 citations) and General Decision Sciences (5 citations). Djallel Bouneffouf has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Irina Rish, Charų C. Aggarwal, Raphaël Féraud, Kush R. Varshney, Nicholas Mattei, Francesca Rossi, Baihan Lin, İnanç Birol, Yunfeng Zhang and Guillermo Cecchi. Their work appears in journals such as IBM Journal of Research and Development, IEEE Internet Computing, Automatica, Translational Psychiatry and Knowledge and Information Systems.
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.