Djallel Bouneffouf

1.7k total citations
44 papers, 392 citations indexed

About

Djallel Bouneffouf is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Djallel Bouneffouf has authored 44 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 5 papers in Computer Networks and Communications. Recurrent topics in Djallel Bouneffouf's work include Advanced Bandit Algorithms Research (22 papers), Reinforcement Learning in Robotics (16 papers) and Machine Learning and Algorithms (9 papers). Djallel Bouneffouf is often cited by papers focused on Advanced Bandit Algorithms Research (22 papers), Reinforcement Learning in Robotics (16 papers) and Machine Learning and Algorithms (9 papers). Djallel Bouneffouf collaborates with scholars based in United States, Canada and France. Djallel Bouneffouf's co-authors include Irina Rish, Charų C. Aggarwal, Raphaël Féraud, Nicholas Mattei, Kush R. Varshney, Francesca Rossi, Baihan Lin, İnanç Birol, Guillermo Cecchi and Shubham Sharma and has published in prestigious journals such as PLoS ONE, Automatica and Neurocomputing.

In The Last Decade

Djallel Bouneffouf

39 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Djallel Bouneffouf United States 10 218 132 58 51 45 44 392
Shivaram Kalyanakrishnan India 11 199 0.9× 116 0.9× 59 1.0× 29 0.6× 45 1.0× 25 419
Kun Qian United States 11 315 1.4× 93 0.7× 28 0.5× 86 1.7× 35 0.8× 35 469
Caleb Chen Cao Hong Kong 11 350 1.6× 129 1.0× 98 1.7× 35 0.7× 50 1.1× 24 628
Matteo Venanzi United Kingdom 12 280 1.3× 109 0.8× 38 0.7× 23 0.5× 31 0.7× 25 484
Dmitry I. Belov Netherlands 11 98 0.4× 107 0.8× 38 0.7× 11 0.2× 26 0.6× 25 341
Vinícius Zambaldi United Kingdom 7 285 1.3× 44 0.3× 84 1.4× 36 0.7× 39 0.9× 8 393
Peng Dai United States 11 256 1.2× 117 0.9× 48 0.8× 10 0.2× 64 1.4× 25 456
Parus Khuwaja Pakistan 11 128 0.6× 20 0.2× 55 0.9× 52 1.0× 52 1.2× 26 312
Jiakai Tang China 4 209 1.0× 33 0.3× 34 0.6× 16 0.3× 41 0.9× 6 460

Countries citing papers authored by Djallel Bouneffouf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Djallel Bouneffouf

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

All Works

20 of 20 papers shown
1.
Lin, Baihan, et al.. (2025). COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling. Translational Psychiatry. 15(1). 166–166. 1 indexed citations
2.
3.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2024). Working Alliance Transformer for Psychotherapy Dialogue Classification. 64–69. 1 indexed citations
4.
Lin, Baihan, Djallel Bouneffouf, Guillermo Cecchi, & Kush R. Varshney. (2024). Towards Healthy AI: Large Language Models Need Therapists Too. 61–70. 1 indexed citations
5.
Baldini, Ioana, Djallel Bouneffouf, Maria Chang, et al.. (2024). Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. IEEE Internet Computing. 28(5). 28–36. 1 indexed citations
6.
Idé, Tsuyoshi, et al.. (2024). Sequential uncertainty quantification with contextual tensors for social targeting. Knowledge and Information Systems. 67(3). 2881–2910.
7.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2023). SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. 7149–7153. 2 indexed citations
8.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2023). Helping Therapists with NLP-Annotated Recommendation. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
9.
10.
Lin, Baihan, Djallel Bouneffouf, & Guillermo Cecchi. (2022). Predicting Human Decision Making with LSTM. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
11.
Zhao, Pu, Parikshit Ram, Songtao Lu, et al.. (2022). Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1714–1720. 2 indexed citations
12.
Lin, Baihan, Djallel Bouneffouf, & Guillermo Cecchi. (2022). Predicting human decision making in psychological tasks with recurrent neural networks. PLoS ONE. 17(5). e0267907–e0267907. 4 indexed citations
13.
Liu, Sijia, Parikshit Ram, Djallel Bouneffouf, et al.. (2020). An ADMM Based Framework for AutoML Pipeline Configuration. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4892–4899. 29 indexed citations
14.
Liu, Sijia, Parikshit Ram, Djallel Bouneffouf, et al.. (2019). A Formal Method for AutoML via ADMM. arXiv (Cornell University). 1 indexed citations
15.
Choromanska, Anna, et al.. (2018). Beyond Backprop: Alternating Minimization with co-Activation Memory.. arXiv (Cornell University). 4 indexed citations
16.
Bouneffouf, Djallel. (2016). Contextual bandit algorithm for risk-aware recommender systems. 4667–4674. 2 indexed citations
17.
Bouneffouf, Djallel & İnanç Birol. (2016). Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering. 3851–3855. 6 indexed citations
18.
Bouneffouf, Djallel & Raphaël Féraud. (2016). Multi-armed bandit problem with known trend. Neurocomputing. 205. 16–21. 39 indexed citations
19.
Bouneffouf, Djallel. (2016). Exponentiated Gradient Exploration for Active Learning. Computers. 5(1). 1–1. 26 indexed citations
20.
Bouneffouf, Djallel & İnanç Birol. (2015). Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering. 7 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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