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Researcher · Osnabrück University · Germany

Dan Hudson

Dan Hudson publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Anomaly Detection Techniques and Applications, Data Visualization and Analytics and Neural Networks and Applications.

ORCID 0000-0002-2917-4659 OpenAlex
World rank
#7,090,583
of 7,710,434 ranked researchers
Rank in Germany
#346,124
of 364,343
Works
29
Citations
131
Citations per work
4.5
h-index
7
i10-index 4Top 65% in Artificial Intelligence
Dan Hudson

What does Dan Hudson research?

Dan Hudson's work is mostly in Computer Science (55%), Engineering (8%), Psychology (4%).

Physical Sciences: 18 works · 62.4% of their workComputer Science: 16 works · 54.6% of their workArtificial Intelligence: 10 works · 35.1% of their workComputer Vision and Pattern Recognition: 3 works · 10.4% of their workInformation Systems: 2 works · 5.2% of their workSignal Processing: 1 works · 3.9% of their workEngineering: 2 works · 7.8% of their workControl and Systems Engineering: 2 works · 7.8% of their workEverything else: 10 works · 33.7% of their workSocial Sciences: 1 works · 3.9% of their workPsychology: 1 works · 3.9% of their workExperimental and Cognitive Psychology: 1 works · 3.9% of their workTHEIR WORKDan Hudson29works
Physical Sciences62%Social Sciences4%

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 Science1654.6%
    2. Engineering27.8%
  2. Everything else1033.7%
    1. Psychology13.9%
  1. 1Artificial Intelligence35% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Control and Systems Engineering8% of their works
  4. 4Information Systems5% of their works
  5. 5Signal Processing4% of their works
  6. 6Experimental and Cognitive Psychology4% of their works

Research topics

Which keywords describe Dan Hudson's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Machine Learning, Anomaly Detection, Information Visualization, Unsupervised and Visual Analytics.

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 20 words, with their numbers
  1. Deep Learning154 topics
  2. Neural Networks154 topics
  3. Time Series82 topics
  4. Machine Learning62 topics
  5. Anomaly Detection51 topic
  6. Information Visualization51 topic
  7. Unsupervised51 topic
  8. Visual Analytics51 topic
  9. Backpropagation Learning41 topic
  10. Self-Organizing Maps41 topic
  11. Automatic31 topic
  12. Clustering31 topic
  13. Community Structure31 topic
  14. Dynamic Time Warping31 topic
  15. Empirical Mode Decomposition31 topic
  16. Extraction31 topic
  17. Fault Detection31 topic
  18. Fault Diagnosis31 topic
  19. Network Dynamics31 topic
  20. Process Monitoring31 topic

Where does Dan Hudson work?

Dan Hudson's main affiliation in the publication record is Osnabrück University, Germany.

How many publications and citations does Dan Hudson have?

OpenAlex counts 29 works and 131 citations for Dan Hudson, an h-index of 7, ranking #7,090,583 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.

Discussion

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