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Researcher · Harbin Institute of Technology · China

Philippe Fournier‐Viger

Philippe Fournier‐Viger publishes mostly in Artificial Intelligence, Information Systems and Computational Theory and Mathematics, on topics such as Data Mining Algorithms and Applications, Rough Sets and Fuzzy Logic and Data Management and Algorithms.

ORCID 0000-0002-7680-9899 OpenAlex
World rank
#35,357
of 7,710,434 ranked researchers
Rank in China
#2,380
of 978,568
Works
487
Citations
13k
Citations per work
27.0
h-index
56
i10-index 234Top 0.7% in Artificial Intelligence
Philippe Fournier‐Viger

What does Philippe Fournier‐Viger research?

Philippe Fournier‐Viger's work is mostly in Computer Science (82%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 397 works · 81.6% of their workComputer Science: 397 works · 81.6% of their workArtificial Intelligence: 135 works · 27.7% of their workInformation Systems: 116 works · 23.8% of their workComputational Theory and Mathematics: 76 works · 15.7% of their workSignal Processing: 54 works · 11.0% of their workComputer Networks and Communications: 17 works · 3.4% of their workEverything else: 76 works · 15.6% of their workLife Sciences: 14 works · 2.8% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 2.8% of their workMolecular Biology: 14 works · 2.8% of their workTHEIR WORKPhilippeFournier‐Viger487works
Life Sciences3%Physical Sciences82%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science39781.6%
  2. Everything else7615.6%
    1. Biochemistry, Genetics and Molecular Biology142.8%
  1. 1Artificial Intelligence28% of their works
  2. 2Information Systems24% of their works
  3. 3Computational Theory and Mathematics16% of their works
  4. 4Signal Processing11% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Philippe Fournier‐Viger's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Association Rules, Frequent Patterns, Granular Computing, Rough Sets, GPS Trajectories and Trajectory Data Mining.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Data Mining3302 topics
  2. Machine Learning3302 topics
  3. Association Rules3061 topic
  4. Frequent Patterns3061 topic
  5. Granular Computing2171 topic
  6. Rough Sets2171 topic
  7. GPS Trajectories1301 topic
  8. Trajectory Data Mining1301 topic
  9. Classification831 topic
  10. Imbalanced Data831 topic
  11. Compression351 topic
  12. Suffix Arrays351 topic
  13. Affective States341 topic
  14. Intelligent Tutoring Systems341 topic
  15. Continuous Queries321 topic
  16. Data Stream Management321 topic
  17. Differential Privacy241 topic
  18. Federated Learning241 topic

Where does Philippe Fournier‐Viger work?

Philippe Fournier‐Viger's main affiliation in the publication record is Harbin Institute of Technology, China.

How many publications and citations does Philippe Fournier‐Viger have?

OpenAlex counts 487 works and 13,169 citations for Philippe Fournier‐Viger, an h-index of 56, ranking #35,357 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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