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David J. Miller

David J. Miller publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Neural Networks and Applications, Anomaly Detection Techniques and Applications and Adversarial Robustness in Machine Learning.

World rank
#259,239
of 1,633,909 ranked researchers
Rank in United States
#100,639
of 358,040
Works
70
Citations
373
Citations per work
5.3

What does David J. Miller research?

Artificial Intelligence: 43.3%Signal Processing: 9.6%Computer Vision and Pattern Recognition: 8.7%Electrical and Electronic Engineering: 7.7%other fields: 30.7%43%top field
Artificial Intelligence43.3%Signal Processing9.6%Computer Vision and Pattern Recognition8.7%Electrical and Electronic Engineering7.7%other fields30.7%

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

  1. 1Artificial Intelligence43% of their works
  2. 2Signal Processing10% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Molecular Biology7% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe David J. Miller's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Machine Learning, Self-Organizing Maps, Anomaly Detection, Unsupervised and Adversarial Examples.

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 23 words, with their numbers
  1. Deep Learning233 topics
  2. Neural Networks233 topics
  3. Backpropagation Learning101 topic
  4. Machine Learning103 topics
  5. Self-Organizing Maps101 topic
  6. Anomaly Detection71 topic
  7. Unsupervised71 topic
  8. Adversarial Examples61 topic
  9. Robustness61 topic
  10. Clustering52 topics
  11. Feature Selection52 topics
  12. Support Vector Machines52 topics
  13. Bioinformatics42 topics
  14. Bayesian Inference31 topic
  15. Dimensionality Reduction31 topic
  16. Face Recognition31 topic
  17. Mixture Models31 topic
  18. Gene Expression21 topic
  19. Gene Set Enrichment Analysis21 topic
  20. Microarray21 topic
  21. Protein21 topic
  22. Protein-Protein Interaction Networks21 topic
  23. Subcellular Localization21 topic

Where does David J. Miller work?

David J. Miller's main affiliation in the publication record is Pennsylvania State University, United States.

How many publications and citations does David J. Miller have?

Science Explorer counts 70 works and 373 citations for David J. Miller, ranking #259,239 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.

Other researchers named David J. Miller

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