Hanane Ezzikouri
Impact in
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- Artificial Intelligence in Healthcare
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Natural Language Processing Techniques 7
- Topic Modeling 7
- Text Readability and Simplification 3
- Semantic Web and Ontologies 2
- Imbalanced Data Classification Techniques 1
- Intelligent Tutoring Systems and Adaptive Learning 1
- AI in Service Interactions 1
- Co-authors
- Badr Hssina (2 shared papers)A. Merbouha (1 shared paper)Mohammed Erritali (8 shared papers)Youness Madani (4 shared papers)
- Journals
- Journal of Ambient Intelligence and Humanized Computing (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Advanced Computer Science and Applications (2 papers)Indonesian Journal of Electrical Engineering and Computer Science (1 paper)Procedia Computer Science (2 papers)
- Partner nations
- Morocco
In The Last Decade
Hanane Ezzikouri
9 papers receiving 354 citations
Hanane Ezzikouri's Hit Papers
Peers
Comparison fields: 5 of 92
- Health Information Management 40
- Computer Science Applications 37
- Artificial Intelligence 208
- Information Systems 109
- Safety Research 15
Countries citing papers authored by Hanane Ezzikouri
This map shows the geographic impact of Hanane Ezzikouri'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 Hanane Ezzikouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanane Ezzikouri more than expected).
Fields of papers citing papers by Hanane Ezzikouri
This network shows the impact of papers produced by Hanane Ezzikouri. 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 Hanane Ezzikouri. The network helps show where Hanane Ezzikouri may publish in the future.
Co-authors
The 4 scholars most cited alongside Hanane Ezzikouri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A comparative study of decision tree ID3 and C4.5 Hit paper breakdown → | 2014 | 283 |
| 2 | 2019 | 30 | |
| 3 | 2021 | 20 | |
| 4 | 2019 | 16 | |
| 5 | 2016 | 8 | |
| 6 | 2019 | 7 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 3 |
About Hanane Ezzikouri
Hanane Ezzikouri is a scholar working on Artificial Intelligence, Information Systems, Safety Research, Computer Science Applications and Infectious Diseases, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Text Readability and Simplification (3 papers), Semantic Web and Ontologies (2 papers), Imbalanced Data Classification Techniques (1 paper), Academic integrity and plagiarism (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Health Information Management (40 citations), Computer Science Applications (37 citations), Artificial Intelligence (208 citations), Information Systems (109 citations) and Safety Research (15 citations). Hanane Ezzikouri has collaborated with scholars based in Morocco. Frequent co-authors include Badr Hssina, A. Merbouha, Mohammed Erritali and Youness Madani. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Multimedia Tools and Applications, International Journal of Advanced Computer Science and Applications, Indonesian Journal of Electrical Engineering and Computer Science and Procedia Computer Science.
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.