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Researcher · Institut Polytechnique de Paris · France

Yohan Petetin

Yohan Petetin publishes mostly in Artificial Intelligence, Signal Processing and Control and Systems Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Bayesian Methods and Mixture Models and Gaussian Processes and Bayesian Inference.

ORCID 0000-0001-9200-783X OpenAlex
World rank
#3,941,353
of 7,710,434 ranked researchers
Rank in France
#165,953
of 324,115
Works
62
Citations
336
Citations per work
5.4
h-index
11
i10-index 12Top 37% in Artificial Intelligence
Yohan Petetin

What does Yohan Petetin research?

Yohan Petetin's work is mostly in Computer Science (66%), Engineering (6%), Mathematics (4%).

Physical Sciences: 48 works · 76.8% of their workComputer Science: 41 works · 66.4% of their workArtificial Intelligence: 31 works · 50.0% of their workSignal Processing: 5 works · 7.9% of their workComputer Networks and Communications: 3 works · 5.5% of their workComputer Vision and Pattern Recognition: 2 works · 3.0% of their workEngineering: 4 works · 6.1% of their workControl and Systems Engineering: 4 works · 6.1% of their workMathematics: 3 works · 4.3% of their workStatistics and Probability: 3 works · 4.3% of their workEverything else: 14 works · 23.2% of their workTHEIR WORKYohan Petetin62works
Physical Sciences77%

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 Science4166.4%
    2. Engineering46.1%
    3. Mathematics34.3%
  2. Everything else1423.2%
  1. 1Artificial Intelligence50% of their works
  2. 2Signal Processing8% of their works
  3. 3Control and Systems Engineering6% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Statistics and Probability4% of their works
  6. 6Computer Vision and Pattern Recognition3% of their works

Research topics

Which keywords describe Yohan Petetin's research?

The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Variational Inference, Clustering, Deep Learning, Dirichlet Process and Mixture Models.

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 21 words, with their numbers
  1. Bayesian Inference583 topics
  2. Nonlinear Estimation301 topic
  3. Particle Filters301 topic
  4. Variational Inference282 topics
  5. Clustering272 topics
  6. Deep Learning233 topics
  7. Dirichlet Process191 topic
  8. Mixture Models191 topic
  9. Machine Learning152 topics
  10. Gaussian Processes91 topic
  11. Sparse Regression91 topic
  12. Bayesian Networks81 topic
  13. Causal Inference81 topic
  14. Dynamic Time Warping81 topic
  15. Time Series81 topic
  16. Distributed Detection61 topic
  17. Fault Detection61 topic
  18. Neural Networks61 topic
  19. Process Monitoring61 topic
  20. Self-Organizing Maps61 topic
  21. Wireless Sensor Networks61 topic

Where does Yohan Petetin work?

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

How many publications and citations does Yohan Petetin have?

OpenAlex counts 62 works and 336 citations for Yohan Petetin, an h-index of 11, ranking #3,941,353 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

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