Sadok Ben Yahia
- Information Systems top 1%
- Data Mining Algorithms and Applications 50
- Service-Oriented Architecture and Web Services 10
- Signal Processing top 5%
- Data Management and Algorithms 30
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- Rough Sets and Fuzzy Logic 44
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 23
- Natural Language Processing Techniques 15
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- IoT and Edge/Fog Computing 11
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- Gene expression and cancer classification 9
Sadok Ben Yahia
171 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Information Systems 618
- Signal Processing 238
- Computational Theory and Mathematics 326
- Artificial Intelligence 612
- Computer Networks and Communications 336
Countries citing papers authored by Sadok Ben Yahia
This map shows the geographic impact of Sadok Ben Yahia'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 Sadok Ben Yahia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadok Ben Yahia more than expected).
Fields of papers citing papers by Sadok Ben Yahia
This network shows the impact of papers produced by Sadok Ben Yahia. 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 Sadok Ben Yahia. The network helps show where Sadok Ben Yahia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sadok Ben Yahia, 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 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 4 | |
| 12 | 2018 | 13 | |
| 13 | XMap : Results for OAEI 2015 | 2014 | 8 |
| 14 | BGRT : une nouvelle base générique de règles d'association triadiques | 2012 | 1 |
| 15 | LDOA results for OAEI 2011 | 2011 | 5 |
| 16 | 2011 | 1 | |
| 17 | Anthropocentric Visualisation of Optimal Cover of Association Rules. | 2010 | 3 |
| 18 | VIE_MGB: A Visual Interactive Exploration of Minimal Generic Basis of Association Rules. | 2005 | 5 |
| 19 | GenAll Algorithm: Decorating Galois lattice with minimal generators. | 2005 | 2 |
| 20 | Algorithme de construction d'un treillis des concepts formels et de détermination des générateurs minimaux | 2005 | 2 |
About Sadok Ben Yahia
Sadok Ben Yahia is a scholar working on Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 188 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (50 papers), Rough Sets and Fuzzy Logic (44 papers), Data Management and Algorithms (30 papers), Semantic Web and Ontologies (23 papers), Natural Language Processing Techniques (15 papers), IoT and Edge/Fog Computing (11 papers), Service-Oriented Architecture and Web Services (10 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Information Systems (618 citations), Signal Processing (238 citations) and Computational Theory and Mathematics (326 citations). Sadok Ben Yahia has collaborated with scholars based in Tunisia, Estonia and France. Frequent co-authors include Engelbert Mephu Nguifo, Tarek Hamrouni, Akram Hakiri, Dirk Draheim, Gayo Diallo, Syed Attique Shah, Sufian Hameed, Dursun Zafer Şeker, M. Mazhar Rathore and Sehl Mellouli. Their work appears in journals such as Information Sciences, IEEE Access, Expert Systems with Applications, International Journal of General Systems and Future Generation Computer Systems.
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.