Hanene Azzag
Impact in
- Artificial Intelligence top 10%
- Data Stream Mining Techniques
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
-
- Advanced Clustering Algorithms Research 11
- Data Stream Mining Techniques 8
- Neural Networks and Applications 5
-
- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 4
- Co-authors
- Mustapha Lebbah (19 shared papers)Gilles Venturini (3 shared papers)Christiane Guinot (3 shared papers)Jérôme Lacaille (3 shared papers)Tarn Duong (3 shared papers)Zakaria Elberrichi (1 shared paper)Zaineb Chelly Dagdia (1 shared paper)Christine Zarges (1 shared paper)
In The Last Decade
Hanene Azzag
21 papers receiving 252 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 185
- Signal Processing 58
- Computer Vision and Pattern Recognition 86
- Computer Networks and Communications 27
- Media Technology 10
Countries citing papers authored by Hanene Azzag
This map shows the geographic impact of Hanene Azzag'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 Hanene Azzag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanene Azzag more than expected).
Fields of papers citing papers by Hanene Azzag
This network shows the impact of papers produced by Hanene Azzag. 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 Hanene Azzag. The network helps show where Hanene Azzag may publish in the future.
Co-authors
The 11 scholars most cited alongside Hanene Azzag, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 53 | |
| 2 | 2005 | 50 | |
| 3 | 2016 | 36 | |
| 4 | 2021 | 20 | |
| 5 | 2015 | 15 | |
| 6 | 2016 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2007 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2011 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2005 | 1 | |
| 20 | 2010 | 1 |
About Hanene Azzag
Hanene Azzag is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Control and Systems Engineering, having authored 22 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Data Stream Mining Techniques (8 papers), Data Management and Algorithms (5 papers), Neural Networks and Applications (5 papers), Time Series Analysis and Forecasting (4 papers), Image Retrieval and Classification Techniques (3 papers), Data Mining Algorithms and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (185 citations), Signal Processing (58 citations), Computer Vision and Pattern Recognition (86 citations), Computer Networks and Communications (27 citations) and Media Technology (10 citations). Hanene Azzag has collaborated with scholars based in France, Algeria and Tunisia. Frequent co-authors include Mustapha Lebbah, Gilles Venturini, Christiane Guinot, Jérôme Lacaille, Tarn Duong, Zakaria Elberrichi, Zaineb Chelly Dagdia, Christine Zarges, Salima Benbernou and Cyrille Bertelle. Their work appears in journals such as Neural Computing and Applications, The Visual Computer, Neural Networks, Machine Learning and Applied Intelligence.
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.