Science Explorer Back to mapMap
Discussion
Researcher · Institut Polytechnique de Paris · France

Sophie Chabridon

Sophie Chabridon publishes mostly in Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, on topics such as Context-Aware Activity Recognition Systems, IoT and Edge/Fog Computing and Peer-to-Peer Network Technologies.

ORCID 0000-0002-1591-6754 OpenAlex
World rank
#2,071,695
of 7,710,434 ranked researchers
Rank in France
#89,952
of 324,115
Works
102
Citations
733
Citations per work
7.2
h-index
15
i10-index 26Top 23% in Computer Networks and Communications
Sophie Chabridon

What does Sophie Chabridon research?

Sophie Chabridon's work is mostly in Computer Science (79%), Engineering (5%).

Physical Sciences: 86 works · 84.6% of their workComputer Science: 81 works · 79.3% of their workComputer Networks and Communications: 45 works · 44.0% of their workInformation Systems: 12 works · 12.0% of their workComputer Vision and Pattern Recognition: 10 works · 9.9% of their workArtificial Intelligence: 10 works · 9.5% of their workHardware and Architecture: 4 works · 3.9% of their workEngineering: 5 works · 5.3% of their workElectrical and Electronic Engineering: 5 works · 5.3% of their workEverything else: 16 works · 15.4% of their workTHEIR WORKSophie Chabridon102works
Physical Sciences85%

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 Science8179.3%
    2. Engineering55.3%
  2. Everything else1615.4%
  1. 1Computer Networks and Communications44% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Hardware and Architecture4% of their works

Research topics

Which keywords describe Sophie Chabridon's research?

The keywords of their largest research topics: Distributed Systems, Deep Learning, Activity Recognition, Internet Applications, Pervasive Computing, Edge Computing, Fault Tolerance and Internet of Things.

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 20 words, with their numbers
  1. Distributed Systems685 topics
  2. Deep Learning532 topics
  3. Activity Recognition271 topic
  4. Internet Applications272 topics
  5. Pervasive Computing271 topic
  6. Edge Computing261 topic
  7. Fault Tolerance262 topics
  8. Internet of Things261 topic
  9. Peer-to-Peer171 topic
  10. Scalable171 topic
  11. Consistency161 topic
  12. QoS-Aware Middleware161 topic
  13. Semantic Web Services161 topic
  14. Transactional Memory161 topic
  15. Log Analysis131 topic
  16. Performance Prediction131 topic
  17. Grid Computing121 topic
  18. Resource Management121 topic
  19. Mobile Agents101 topic
  20. Network Management101 topic

Where does Sophie Chabridon work?

Sophie Chabridon's main affiliation in the publication record is Institut Polytechnique de Paris, France.

How many publications and citations does Sophie Chabridon have?

OpenAlex counts 102 works and 733 citations for Sophie Chabridon, an h-index of 15, ranking #2,071,695 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.

Discussion

Ask a question or share a note about Sophie Chabridon. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.