Karim Tabia
Impact in
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- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Anomaly Detection Techniques and Applications
- Semantic Web and Ontologies
- Internet Traffic Analysis and Secure E-voting
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- Advanced Malware Detection Techniques
Papers in
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- Bayesian Modeling and Causal Inference 6
- Logic, Reasoning, and Knowledge 6
- Anomaly Detection Techniques and Applications 4
- Natural Language Processing Techniques 3
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- Video Analysis and Summarization 5
- Co-authors
- Salem Benferhat (16 shared papers)Habiba Drias (1 shared paper)Moonis Ali (2 shared papers)Jesse Davis (1 shared paper)Karima Sedki (3 shared papers)Zied Bouraoui (4 shared papers)Philippe Leray (1 shared paper)Marie-Laure Mugnier (1 shared paper)
In The Last Decade
Karim Tabia
22 papers receiving 122 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 83
- Signal Processing 25
- Computer Networks and Communications 36
- Computational Theory and Mathematics 20
- Management Science and Operations Research 15
Countries citing papers authored by Karim Tabia
This map shows the geographic impact of Karim Tabia'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 Karim Tabia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karim Tabia more than expected).
Fields of papers citing papers by Karim Tabia
This network shows the impact of papers produced by Karim Tabia. 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 Karim Tabia. The network helps show where Karim Tabia may publish in the future.
Co-authors
The 18 scholars most cited alongside Karim Tabia, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 33 | |
| 2 | 2017 | 24 | |
| 3 | 2016 | 10 | |
| 4 | 2020 | 7 | |
| 5 | 2016 | 7 | |
| 6 | 2011 | 7 | |
| 7 | 2017 | 5 | |
| 8 | 2010 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2016 | 2 | |
| 19 | On analysis of unicity of Jeffrey's rule of conditioning in a probabilistic framework. | 2010 | 1 |
| 20 | 2023 | 1 |
About Karim Tabia
Karim Tabia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 26 papers that have together received 131 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (6 papers), Logic, Reasoning, and Knowledge (6 papers), Video Analysis and Summarization (5 papers), Multi-Criteria Decision Making (4 papers), Rough Sets and Fuzzy Logic (4 papers), Anomaly Detection Techniques and Applications (4 papers), Natural Language Processing Techniques (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Artificial Intelligence (83 citations), Signal Processing (25 citations), Computer Networks and Communications (36 citations), Computational Theory and Mathematics (20 citations) and Management Science and Operations Research (15 citations). Karim Tabia has collaborated with scholars based in France, Algeria and Vietnam. Frequent co-authors include Salem Benferhat, Habiba Drias, Moonis Ali, Jesse Davis, Karima Sedki, Zied Bouraoui, Philippe Leray, Marie-Laure Mugnier, Madalina Croitoru and Odile Papini. Their work appears in journals such as Fuzzy Sets and Systems, Applied Intelligence, International Journal of Intelligent Systems, Data & Knowledge Engineering and Lecture notes in 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.