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Researcher · Amazon (Germany) · Germany

David Salinas

David Salinas publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Machine Learning and Data Classification, Advanced Multi-Objective Optimization Algorithms and Forecasting Techniques and Applications.

World rank
#620,115
of 1,633,909 ranked researchers
Rank in Germany
#36,801
of 86,443
Works
35
Citations
119
Citations per work
3.4

What does David Salinas research?

Artificial Intelligence: 26.4%Computational Theory and Mathematics: 17.0%Management Science and Operations Research: 7.5%Computer Vision and Pattern Recognition: 5.7%other fields: 43.4%26%top field
Artificial Intelligence26.4%Computational Theory and Mathematics17.0%Management Science and Operations Research7.5%Computer Vision and Pattern Recognition5.7%other fields43.4%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence26% of their works
  2. 2Computational Theory and Mathematics17% of their works
  3. 3Management Science and Operations Research8% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Signal Processing6% of their works
  6. 6Parasitology4% of their works

Research topics

Which keywords describe David Salinas's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Evolutionary Algorithms, Hyperparameter Optimization, Multiobjective Optimization, Neural Networks, Noisy Labels and Forecasting.

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. Machine Learning94 topics
  2. Deep Learning63 topics
  3. Evolutionary Algorithms51 topic
  4. Hyperparameter Optimization51 topic
  5. Multiobjective Optimization51 topic
  6. Neural Networks52 topics
  7. Noisy Labels51 topic
  8. Forecasting31 topic
  9. Time Series31 topic
  10. Active Learning21 topic
  11. Backpropagation Learning21 topic
  12. Bioimage Analysis21 topic
  13. Connected Components21 topic
  14. High-Content Screening21 topic
  15. Labeling21 topic
  16. Persistent Homology21 topic
  17. Self-Organizing Maps21 topic
  18. Semi-Supervised Learning21 topic
  19. Topological Methods21 topic

Where does David Salinas work?

David Salinas's main affiliation in the publication record is Amazon (Germany), Germany.

How many publications and citations does David Salinas have?

Science Explorer counts 35 works and 119 citations for David Salinas, ranking #620,115 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.