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Researcher · Universidad del Noreste · Mexico

Jan-Willem van de Meent

Jan-Willem van de Meent publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry, on topics such as Generative Adversarial Networks and Image Synthesis, Machine Learning and Algorithms and Topic Modeling.

ORCID 0000-0001-9465-5398 OpenAlex
World rank
#1,017,611
of 7,710,434 ranked researchers
Rank in Mexico
#2,238
of 55,557
Works
126
Citations
1.8k
Citations per work
13.9
h-index
18
i10-index 27Top 16% in Artificial Intelligence
Jan-Willem van de Meent

What does Jan-Willem van de Meent research?

Jan-Willem van de Meent's work is mostly in Computer Science (54%), Materials Science (4%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 78 works · 62.0% of their workComputer Science: 68 works · 54.3% of their workArtificial Intelligence: 50 works · 39.5% of their workComputer Vision and Pattern Recognition: 19 works · 14.8% of their workMaterials Science: 5 works · 4.3% of their workMaterials Chemistry: 5 works · 4.3% of their workEngineering: 4 works · 3.4% of their workComputational Mechanics: 4 works · 3.4% of their workEverything else: 39 works · 31.2% of their workLife Sciences: 9 works · 6.8% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 3.4% of their workMolecular Biology: 4 works · 3.4% of their workNeuroscience: 4 works · 3.4% of their workCognitive Neuroscience: 4 works · 3.4% of their workTHEIR WORKJan-Willem van deMeent126works
Life Sciences7%Physical Sciences62%

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 Science6854.3%
    2. Materials Science54.3%
    3. Engineering43.4%
  2. Everything else3931.2%
    1. Biochemistry, Genetics and Molecular Biology43.4%
    2. Neuroscience43.4%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Materials Chemistry4% of their works
  4. 4Cognitive Neuroscience3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Jan-Willem van de Meent's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Generative Adversarial Networks, Image Synthesis, Gaussian Processes, Active Learning and Semi-Supervised Learning.

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. Deep Learning795 topics
  2. Neural Networks543 topics
  3. Machine Learning383 topics
  4. Generative Adversarial Networks301 topic
  5. Image Synthesis301 topic
  6. Gaussian Processes282 topics
  7. Active Learning151 topic
  8. Semi-Supervised Learning151 topic
  9. Machine Translation141 topic
  10. Word Representation141 topic
  11. Sparse Regression131 topic
  12. Variational Inference131 topic
  13. Bayesian Networks111 topic
  14. Causal Inference111 topic
  15. Electronic Health Records111 topic
  16. Healthcare111 topic
  17. High-Throughput101 topic
  18. Materials Informatics101 topic
  19. Reinforcement Learning101 topic
  20. Robotics101 topic

Where does Jan-Willem van de Meent work?

Jan-Willem van de Meent's main affiliation in the publication record is Universidad del Noreste, Mexico.

How many publications and citations does Jan-Willem van de Meent have?

OpenAlex counts 126 works and 1,754 citations for Jan-Willem van de Meent, an h-index of 18, ranking #1,017,611 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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