Mehdi Kaytoue
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- Rough Sets and Fuzzy Logic 10
- Signal Processing top 10%
- Data Management and Algorithms 9
- Information Systems top 5%
- Data Mining Algorithms and Applications 15
- Software Engineering Research 2
- Sensory Systems top 10%
- Artificial Intelligence top 10%
- Artificial Intelligence in Games 5
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- Advanced Database Systems and Queries 3
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- Video Analysis and Summarization 3
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- Data Quality and Management 3
- Co-authors
- Amedeo NapoliSergei O. KuznetsovSébastien DuplessisChedy RaïssiJean‐François BoulicautMarc PlantevitCéline RobardetJaume Baixeries
- Journals
- Information Sciences (1 paper)Data Mining and Knowledge Discovery (1 paper)International Journal of General Systems (1 paper)
- Partner nations
- FranceRussiaUnited States
In The Last Decade
Mehdi Kaytoue
25 papers receiving 370 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 187
- Signal Processing 77
- Information Systems 160
- Sensory Systems 27
- Artificial Intelligence 152
Countries citing papers authored by Mehdi Kaytoue
This map shows the geographic impact of Mehdi Kaytoue'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 Mehdi Kaytoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Kaytoue more than expected).
Fields of papers citing papers by Mehdi Kaytoue
This network shows the impact of papers produced by Mehdi Kaytoue. 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 Mehdi Kaytoue. The network helps show where Mehdi Kaytoue may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Mehdi Kaytoue, 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 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 36 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 0 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 6 | |
| 16 | Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining. | 2013 | 9 |
| 17 | 2013 | 25 | |
| 18 | 2011 | 17 | |
| 19 | Pattern Mining in Numerical Data: Extracting Closed Patterns and their Generators | 2010 | 1 |
| 20 | 2010 | 134 |
About Mehdi Kaytoue
Mehdi Kaytoue is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 29 papers that have together received 385 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (15 papers), Rough Sets and Fuzzy Logic (10 papers), Data Management and Algorithms (9 papers), Artificial Intelligence in Games (5 papers), Advanced Database Systems and Queries (3 papers), Video Analysis and Summarization (3 papers), Data Quality and Management (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (187 citations), Signal Processing (77 citations) and Information Systems (160 citations). Mehdi Kaytoue has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Amedeo Napoli, Sergei O. Kuznetsov, Sébastien Duplessis, Chedy Raïssi, Jean‐François Boulicaut, Marc Plantevit, Céline Robardet, Jaume Baixeries, Loïc Cerf and Wagner Meira. Their work appears in journals such as Information Sciences, Data Mining and Knowledge Discovery, International Journal of General Systems, Discrete Applied Mathematics and Machine Learning.
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.