Hamouda Chantar
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Advanced Text Analysis Techniques
- Software top 10%
Papers in
-
- Metaheuristic Optimization Algorithms Research 6
- Evolutionary Algorithms and Applications 3
- Text and Document Classification Technologies 2
- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 2
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- Spam and Phishing Detection 2
- Co-authors
- Majdi Mafarja (6 shared papers)Thaer Thaher (9 shared papers)Hamza Turabieh (8 shared papers)Ibrahim Aljarah (1 shared paper)Hossam Faris (1 shared paper)Ali Asghar Heidari (1 shared paper)Hamad Alsawalqah (1 shared paper)Jingwei Too (4 shared papers)
- Journals
- Applied Sciences (2 papers)Neural Computing and Applications (2 papers)IEEE Access (1 paper)Symmetry (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- LibyaPalestinian TerritorySaudi Arabia
In The Last Decade
Hamouda Chantar
13 papers receiving 482 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 337
- Software 39
- Information Systems 135
- Computational Theory and Mathematics 67
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Hamouda Chantar
This map shows the geographic impact of Hamouda Chantar'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 Hamouda Chantar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamouda Chantar more than expected).
Fields of papers citing papers by Hamouda Chantar
This network shows the impact of papers produced by Hamouda Chantar. 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 Hamouda Chantar. The network helps show where Hamouda Chantar may publish in the future.
Co-authors
The 20 scholars most cited alongside Hamouda Chantar, 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 | 2019 | 153 | |
| 2 | 2021 | 66 | |
| 3 | 2022 | 51 | |
| 4 | 2011 | 48 | |
| 5 | 2021 | 47 | |
| 6 | 2021 | 43 | |
| 7 | 2022 | 29 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 2 |
About Hamouda Chantar
Hamouda Chantar is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Sociology and Political Science, having authored 13 papers that have together received 502 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (3 papers), Machine Learning in Bioinformatics (2 papers), Spam and Phishing Detection (2 papers), Face and Expression Recognition (2 papers), Text and Document Classification Technologies (2 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Artificial Intelligence (337 citations), Software (39 citations), Information Systems (135 citations), Computational Theory and Mathematics (67 citations) and Computer Vision and Pattern Recognition (67 citations). Hamouda Chantar has collaborated with scholars based in Libya, Palestinian Territory and Saudi Arabia. Frequent co-authors include Majdi Mafarja, Thaer Thaher, Hamza Turabieh, Ibrahim Aljarah, Hossam Faris, Ali Asghar Heidari, Hamad Alsawalqah, Jingwei Too, David Corne and Seyedali Mirjalili. Their work appears in journals such as Applied Sciences, Neural Computing and Applications, IEEE Access, Symmetry and Expert Systems with Applications.
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.