Philippe Fournier‐Viger
- Information Systems top 0.05%
- Data Mining Algorithms and Applications 186
- Computational Theory and Mathematics top 0.05%
- Rough Sets and Fuzzy Logic 140
- Signal Processing top 0.2%
- Data Management and Algorithms 77
- Artificial Intelligence top 0.2%
- Imbalanced Data Classification Techniques 64
- Algorithms and Data Compression 18
- Privacy-Preserving Technologies in Data 17
- Intelligent Tutoring Systems and Adaptive Learning 14
- Marketing top 2%
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- Advanced Database Systems and Queries 12
- Co-authors
- Jerry Chun‐Wei LinTzung‐Pei HongVincent S. TsengWensheng GanChengwei WuPhilip S. YuYoucef DjenouriHan‐Chieh Chao
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)IEEE Transactions on Industrial Electronics (1 paper)
In The Last Decade
Philippe Fournier‐Viger
271 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Information Systems 4.7k
- Computational Theory and Mathematics 3.1k
- Signal Processing 1.7k
- Artificial Intelligence 3.5k
- Marketing 325
Countries citing papers authored by Philippe Fournier‐Viger
This map shows the geographic impact of Philippe Fournier‐Viger'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 Philippe Fournier‐Viger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Fournier‐Viger more than expected).
Fields of papers citing papers by Philippe Fournier‐Viger
This network shows the impact of papers produced by Philippe Fournier‐Viger. 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 Philippe Fournier‐Viger. The network helps show where Philippe Fournier‐Viger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philippe Fournier‐Viger, 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 | 1 | |
| 3 | 2025 | 7 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 35 | |
| 16 | 2023 | 19 | |
| 17 | 2022 | 20 | |
| 18 | 2021 | 1 | |
| 19 | 2019 | 12 | |
| 20 | SPMF: a Java open-source pattern mining librarybreakdown → | 2014 | 277 |
About Philippe Fournier‐Viger
Philippe Fournier‐Viger is a scholar working on Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 285 papers that have together received 6.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (186 papers), Rough Sets and Fuzzy Logic (140 papers), Data Management and Algorithms (77 papers), Imbalanced Data Classification Techniques (64 papers), Algorithms and Data Compression (18 papers), Privacy-Preserving Technologies in Data (17 papers), Intelligent Tutoring Systems and Adaptive Learning (14 papers) and Advanced Database Systems and Queries (12 papers). The work is most often cited by research in Information Systems (4.7k citations), Computational Theory and Mathematics (3.1k citations) and Signal Processing (1.7k citations). Philippe Fournier‐Viger has collaborated with scholars based in China, Taiwan and Norway. Frequent co-authors include Jerry Chun‐Wei Lin, Tzung‐Pei Hong, Vincent S. Tseng, Wensheng Gan, Chengwei Wu, Philip S. Yu, Youcef Djenouri, Han‐Chieh Chao, Roger Nkambou and Hamido Fujita. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.
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.