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Researcher · Engineering School of Information and Digital Technologies · France

Nicolas Sicard

Nicolas Sicard publishes mostly in Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, on topics such as Data Mining Algorithms and Applications, Rough Sets and Fuzzy Logic and Data Management and Algorithms.

OpenAlex
World rank
#3,172,065
of 7,710,434 ranked researchers
Rank in France
#134,155
of 324,115
Works
18
Citations
170
Citations per work
9.4
h-index
4
i10-index 4Top 94% in Computer Vision and Pattern Recognition
Nicolas Sicard

What does Nicolas Sicard research?

Nicolas Sicard's work is mostly in Computer Science (81%).

Physical Sciences: 15 works · 81.2% of their workComputer Science: 15 works · 81.2% of their workComputer Vision and Pattern Recognition: 4 works · 20.8% of their workInformation Systems: 3 works · 18.9% of their workArtificial Intelligence: 2 works · 13.2% of their workComputational Theory and Mathematics: 2 works · 11.3% of their workSignal Processing: 2 works · 11.3% of their workComputer Networks and Communications: 1 works · 5.7% of their workEverything else: 3 works · 18.8% of their workTHEIR WORKNicolas Sicard18works
Physical Sciences81%

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 Science1581.2%
  2. Everything else318.8%
  1. 1Computer Vision and Pattern Recognition21% of their works
  2. 2Information Systems19% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Computational Theory and Mathematics11% of their works
  5. 5Signal Processing11% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Nicolas Sicard's research?

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

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 19 words, with their numbers
  1. Machine Learning102 topics
  2. Data Mining81 topic
  3. Frequent Patterns81 topic
  4. Algorithms52 topics
  5. Granular Computing51 topic
  6. Rough Sets51 topic
  7. Deep Learning42 topics
  8. GPS Trajectories41 topic
  9. Trajectory Data Mining41 topic
  10. Connected Components31 topic
  11. Labeling31 topic
  12. Compression21 topic
  13. Fuzzy Logic Systems21 topic
  14. Image Segmentation21 topic
  15. Medical Image Analysis21 topic
  16. Neural Networks21 topic
  17. Self-Organizing Maps21 topic
  18. Suffix Arrays21 topic
  19. Type-2 Fuzzy Sets21 topic

Where does Nicolas Sicard work?

Nicolas Sicard's main affiliation in the publication record is Engineering School of Information and Digital Technologies, France.

How many publications and citations does Nicolas Sicard have?

OpenAlex counts 18 works and 170 citations for Nicolas Sicard, an h-index of 4, ranking #3,172,065 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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