Abdelghani Dahou
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications 12
- Topic Modeling 10
- Text and Document Classification Technologies 8
- Sentiment Analysis and Opinion Mining 6
- Signal Processing top 2%
- Advanced Malware Detection Techniques 7
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- Context-Aware Activity Recognition Systems 10
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- Network Security and Intrusion Detection 8
- IoT and Edge/Fog Computing 8
- Health Informatics top 10%
- Co-authors
- Mohamed Abd ElazizMohammed A. A. Al‐qanessAhmed M. HelmiSongfeng LuShengwu XiongAlhassan MabroukAbdulaziz FataniAhmed A. Ewees
In The Last Decade
Abdelghani Dahou
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 1.2k
- Signal Processing 307
- Computer Vision and Pattern Recognition 493
- Computer Networks and Communications 512
- Health Informatics 16
Countries citing papers authored by Abdelghani Dahou
This map shows the geographic impact of Abdelghani Dahou'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 Abdelghani Dahou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdelghani Dahou more than expected).
Fields of papers citing papers by Abdelghani Dahou
This network shows the impact of papers produced by Abdelghani Dahou. 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 Abdelghani Dahou. The network helps show where Abdelghani Dahou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abdelghani Dahou, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 30 | |
| 8 | 2023 | 39 | |
| 9 | 2023 | 51 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 43 | |
| 15 | 2023 | 27 | |
| 16 | 2023 | 24 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 61 | |
| 19 | 2019 | 57 | |
| 20 | Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification | 2016 | 112 |
About Abdelghani Dahou
Abdelghani Dahou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Neurology, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (12 papers), Topic Modeling (10 papers), Context-Aware Activity Recognition Systems (10 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (8 papers), Text and Document Classification Technologies (8 papers), Advanced Malware Detection Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Signal Processing (307 citations), Computer Vision and Pattern Recognition (493 citations), Computer Networks and Communications (512 citations) and Health Informatics (16 citations). Abdelghani Dahou has collaborated with scholars based in Algeria, China and Egypt. Frequent co-authors include Mohamed Abd Elaziz, Mohammed A. A. Al‐qaness, Ahmed M. Helmi, Songfeng Lu, Shengwu Xiong, Alhassan Mabrouk, Abdulaziz Fatani, Ahmed A. Ewees, Junwei Zhou and Laith Abualigah. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, IEEE Internet of Things Journal and Sensors.
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.