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Researcher · Université Paris Cité · France

Jean‐Michel Poggi

Jean‐Michel Poggi publishes mostly in Artificial Intelligence, Statistics and Probability and Control and Systems Engineering, on topics such as Energy Load and Power Forecasting, Air Quality Monitoring and Forecasting and Image and Signal Denoising Methods.

ORCID 0000-0002-8222-1653 OpenAlex
World rank
#1,236,077
of 7,710,434 ranked researchers
Rank in France
#56,690
of 324,115
Works
138
Citations
5.7k
Citations per work
41.5
h-index
23
i10-index 38Top 9.4% in Artificial Intelligence
Jean‐Michel Poggi

What does Jean‐Michel Poggi research?

Jean‐Michel Poggi's work is mostly in Computer Science (25%), Engineering (16%), Mathematics (9%).

Physical Sciences: 78 works · 56.7% of their workComputer Science: 35 works · 25.3% of their workArtificial Intelligence: 24 works · 17.5% of their workComputer Vision and Pattern Recognition: 11 works · 7.8% of their workEngineering: 22 works · 15.9% of their workControl and Systems Engineering: 11 works · 8.1% of their workElectrical and Electronic Engineering: 11 works · 7.8% of their workMathematics: 12 works · 8.7% of their workStatistics and Probability: 12 works · 8.7% of their workEnvironmental Science: 9 works · 6.8% of their workEnvironmental Engineering: 9 works · 6.8% of their workEverything else: 60 works · 43.3% of their workTHEIR WORKJean‐Michel Poggi138works
Physical Sciences57%

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 Science3525.3%
    2. Engineering2215.9%
    3. Mathematics128.7%
    4. Environmental Science96.8%
  2. Everything else6043.3%
  1. 1Artificial Intelligence18% of their works
  2. 2Statistics and Probability9% of their works
  3. 3Control and Systems Engineering8% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Computer Vision and Pattern Recognition8% of their works
  6. 6Environmental Engineering7% of their works

Research topics

Which keywords describe Jean‐Michel Poggi's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Particulate Matter, Air Quality Monitoring, Electricity Price Forecasting, Load Forecasting, Low-Cost Sensors and Image Denoising.

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.

All 19 words, with their numbers
  1. Deep Learning574 topics
  2. Neural Networks473 topics
  3. Particulate Matter302 topics
  4. Air Quality Monitoring171 topic
  5. Electricity Price Forecasting171 topic
  6. Load Forecasting171 topic
  7. Low-Cost Sensors171 topic
  8. Image Denoising161 topic
  9. Sparse Representations161 topic
  10. Regularization141 topic
  11. Variable Selection141 topic
  12. Air Pollution131 topic
  13. Backpropagation Learning131 topic
  14. Health Effects131 topic
  15. Self-Organizing Maps131 topic
  16. Clustering111 topic
  17. Time Series111 topic
  18. Multicollinearity101 topic
  19. Regression Analysis101 topic

Where does Jean‐Michel Poggi work?

Jean‐Michel Poggi's main affiliation in the publication record is Université Paris Cité, France.

How many publications and citations does Jean‐Michel Poggi have?

OpenAlex counts 138 works and 5,729 citations for Jean‐Michel Poggi, an h-index of 23, ranking #1,236,077 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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