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Researcher · Medical University of Vienna · Austria

David Reichert

David Reichert publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Biomedical Engineering, on topics such as Reinforcement Learning in Robotics, Photodynamic Therapy Research Studies and Nanoplatforms for cancer theranostics.

ORCID 0000-0002-9593-6447 OpenAlex
World rank
#1,770,413
of 7,710,434 ranked researchers
Rank in Austria
#10,668
of 43,330
Works
43
Citations
2.1k
Citations per work
48.7
h-index
20
i10-index 23Top 13% in Artificial Intelligence
David Reichert

What does David Reichert research?

David Reichert's work is mostly in Computer Science (33%), Medicine (17%), Neuroscience (14%).

Physical Sciences: 20 works · 46.7% of their workComputer Science: 14 works · 32.8% of their workArtificial Intelligence: 11 works · 24.6% of their workComputer Vision and Pattern Recognition: 4 works · 8.2% of their workEngineering: 6 works · 13.9% of their workBiomedical Engineering: 6 works · 13.9% of their workEverything else: 10 works · 22.2% of their workHealth Sciences: 7 works · 17.2% of their workMedicine: 7 works · 17.2% of their workPulmonary and Respiratory Medicine: 5 works · 11.5% of their workGenetics: 2 works · 5.7% of their workLife Sciences: 6 works · 13.9% of their workNeuroscience: 6 works · 13.9% of their workCognitive Neuroscience: 6 works · 13.9% of their workTHEIR WORKDavid Reichert43works
Life Sciences14%Physical Sciences47%Health Sciences17%

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 Science1432.8%
    2. Engineering613.9%
  2. Everything else1022.2%
    1. Medicine717.2%
    1. Neuroscience613.9%
  1. 1Artificial Intelligence25% of their works
  2. 2Cognitive Neuroscience14% of their works
  3. 3Biomedical Engineering14% of their works
  4. 4Pulmonary and Respiratory Medicine12% of their works
  5. 5Computer Vision and Pattern Recognition8% of their works
  6. 6Genetics6% of their works

Research topics

Which keywords describe David Reichert's research?

The keywords of their largest research topics: Nanoparticles, Photodynamic Therapy, Immunotherapy, Deep Learning, Reinforcement Learning, Cancer Treatment, Photosensitizers and Fluorescence Imaging.

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. Nanoparticles232 topics
  2. Photodynamic Therapy232 topics
  3. Immunotherapy182 topics
  4. Deep Learning141 topic
  5. Reinforcement Learning141 topic
  6. Cancer Treatment121 topic
  7. Photosensitizers121 topic
  8. Fluorescence Imaging111 topic
  9. Photothermal Therapy111 topic
  10. Glioblastoma71 topic
  11. Temozolomide71 topic
  12. Cortical Networks51 topic
  13. Monte Carlo Tree Search51 topic
  14. Neuronal Oscillations51 topic
  15. Procedural Content Generation51 topic
  16. Functional Connectivity41 topic
  17. Resting-State fMRI41 topic
  18. Fluorescent Proteins31 topic
  19. Super-Resolution Imaging31 topic

Where does David Reichert work?

David Reichert's main affiliation in the publication record is Medical University of Vienna, Austria.

How many publications and citations does David Reichert have?

OpenAlex counts 43 works and 2,092 citations for David Reichert, an h-index of 20, ranking #1,770,413 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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