Philippe Fournier‐Viger

12.7k citations
285 papers · 6.4k indexed · 2 hit papers · h-index 43
Topics
Data Mining Algorithms and Applications (186 papers)Rough Sets and Fuzzy Logic (140 papers)Data Management and Algorithms (77 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Industrial Electronics
Partner nations
ChinaTaiwanNorway

In The Last Decade

Philippe Fournier‐Viger

271 papers receiving 6.2k citations

Hit Papers

Binary dragonfly optimization for feature selection using...201420262018202220182014100200300

Peers

Philippe Fournier‐Viger
Comparison fields: 5 of 145
  • Information Systems 4.7k
  • Artificial Intelligence 3.5k
  • Computational Theory and Mathematics 3.1k
  • Signal Processing 1.7k
  • Computer Networks and Communications 677
Replace Tzung‐Pei Hong with:
Tzung‐Pei Hong Taiwan
Yiwen Yin Canada
Ming-Syan Chen⋆ Taiwan
Jianyong Wang China
Gregory Piatetsky-Shapiro United States
Meichun Hsu United States
Yiming Ma China
Roberto J. Bayardo United States
Hong Cheng Hong Kong
Petra Perner Germany
Philippe Fournier‐Viger relative to Tzung‐Pei Hong Taiwan Tzung‐Pei Hong's profile →
Citations per field
00.5×2.8×
Tzung‐Pei Hong · 1×
Citations per year

Countries citing papers authored by Philippe Fournier‐Viger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Philippe Fournier‐Viger

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Fournier‐Viger. A scholar is included among the top collaborators of Philippe Fournier‐Viger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Fournier‐Viger. Philippe Fournier‐Viger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 7
4 8
5 0
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8 0
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10 2
11 0
12 8
13 3
14 4
15 35
16 19
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18 1
19 12
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SPMF: a Java open-source pattern mining librarybreakdown →
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) and Data Management and Algorithms (77 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.

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