Chedy Raïssi
- Signal Processing top 10%
- Data Management and Algorithms 11
- Information Systems top 5%
- Data Mining Algorithms and Applications 15
- Artificial Intelligence top 10%
- Data Stream Mining Techniques 4
- Imbalanced Data Classification Techniques 3
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- Rough Sets and Fuzzy Logic 6
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- Advanced Database Systems and Queries 4
- Constraint Satisfaction and Optimization 2
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- Video Analysis and Summarization 2
- Co-authors
- Pascal PonceletKian‐Lee TanJianneng CaoPanagiotis KarrasMaguelonne TeisseireMehdi KaytoueMarc PlantevitArnaud Soulet
- Journals
- Data Mining and Knowledge Discovery (3 papers)Journal of Intelligent Information Systems (2 papers)Proceedings of the VLDB Endowment (2 papers)
- Partner nations
- FranceUnited StatesSingapore
In The Last Decade
Chedy Raïssi
27 papers receiving 352 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 98
- Information Systems 163
- Artificial Intelligence 186
- Computational Theory and Mathematics 89
- Computer Networks and Communications 75
Countries citing papers authored by Chedy Raïssi
This map shows the geographic impact of Chedy Raïssi'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 Chedy Raïssi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chedy Raïssi more than expected).
Fields of papers citing papers by Chedy Raïssi
This network shows the impact of papers produced by Chedy Raïssi. 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 Chedy Raïssi. The network helps show where Chedy Raïssi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chedy Raïssi, 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 | 2021 | 8 | |
| 2 | 2020 | 2 | |
| 3 | 2017 | 19 | |
| 4 | 2015 | 9 | |
| 5 | 2014 | 38 | |
| 6 | 2014 | 3 | |
| 7 | 2014 | 4 | |
| 8 | 2014 | 15 | |
| 9 | Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining. | 2013 | 9 |
| 10 | 2011 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2011 | 31 | |
| 13 | 2011 | 6 | |
| 14 | 2010 | 66 | |
| 15 | 2009 | 2 | |
| 16 | Web Analyzing Traffic Challenge: Description and Results | 2007 | 24 |
| 17 | Random Sampling over Data Streams for Sequential Pattern Mining | 2007 | 2 |
| 18 | 2006 | 17 | |
| 19 | 2006 | 0 | |
| 20 | Need For Speed: Mining Sequential Patterns in Data Stream | 2005 | 5 |
About Chedy Raïssi
Chedy Raïssi is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 29 papers that have together received 361 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (15 papers), Data Management and Algorithms (11 papers), Rough Sets and Fuzzy Logic (6 papers), Advanced Database Systems and Queries (4 papers), Data Stream Mining Techniques (4 papers), Imbalanced Data Classification Techniques (3 papers), Constraint Satisfaction and Optimization (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Signal Processing (98 citations), Information Systems (163 citations) and Artificial Intelligence (186 citations). Chedy Raïssi has collaborated with scholars based in France, United States and Singapore. Frequent co-authors include Pascal Poncelet, Kian‐Lee Tan, Jianneng Cao, Panagiotis Karras, Maguelonne Teisseire, Mehdi Kaytoue, Marc Plantevit, Arnaud Soulet, Jean‐François Boulicaut and Jian Pei. Their work appears in journals such as Data Mining and Knowledge Discovery, Journal of Intelligent Information Systems, Proceedings of the VLDB Endowment, International Journal of General Systems and IEEE Transactions on Computational Intelligence and AI in Games.
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.