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Researcher · Microsoft (United States) · United States

Tristan Naumann

Tristan Naumann publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Topic Modeling, Machine Learning in Healthcare and Biomedical Text Mining and Ontologies.

ORCID 0000-0003-2150-1747 OpenAlex
World rank
#66,277
of 7,710,434 ranked researchers
Rank in United States
#25,545
of 1,627,098
Works
109
Citations
10k
Citations per work
91.3
h-index
32
i10-index 54Top 4% in Artificial Intelligence
Tristan Naumann

What does Tristan Naumann research?

Tristan Naumann's work is mostly in Computer Science (53%), Medicine (12%), Biochemistry, Genetics and Molecular Biology (10%).

Physical Sciences: 58 works · 52.9% of their workComputer Science: 58 works · 52.9% of their workArtificial Intelligence: 50 works · 46.2% of their workComputer Vision and Pattern Recognition: 7 works · 6.7% of their workHealth Sciences: 22 works · 20.0% of their workMedicine: 13 works · 12.0% of their workHealth Informatics: 9 works · 8.0% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 4.0% of their workHealth Professions: 9 works · 8.0% of their workHealth Information Management: 9 works · 8.0% of their workEverything else: 19 works · 17.4% of their workLife Sciences: 11 works · 9.7% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 9.7% of their workMolecular Biology: 11 works · 9.7% of their workTHEIR WORKTristan Naumann109works
Life Sciences10%Physical Sciences53%Health Sciences20%

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 Science5852.9%
    1. Medicine1312.0%
    2. Health Professions98.0%
  3. Everything else1917.4%
    1. Biochemistry, Genetics and Molecular Biology119.7%
  1. 1Artificial Intelligence46% of their works
  2. 2Molecular Biology10% of their works
  3. 3Health Information Management8% of their works
  4. 4Health Informatics8% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Tristan Naumann's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Neural Networks, Deep Learning, Electronic Health Records, Machine Translation, Word Representation and Patient Similarity.

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 22 words, with their numbers
  1. Healthcare793 topics
  2. Precision Medicine672 topics
  3. Neural Networks602 topics
  4. Deep Learning552 topics
  5. Electronic Health Records542 topics
  6. Machine Translation481 topic
  7. Word Representation481 topic
  8. Patient Similarity431 topic
  9. Predictive Modeling431 topic
  10. Machine Learning362 topics
  11. Biomedical Ontologies271 topic
  12. Text Mining271 topic
  13. Artificial Intelligence241 topic
  14. Medical Imaging241 topic
  15. Neural Machine Translation171 topic
  16. Statistical Machine Translation171 topic
  17. Big Data Analytics121 topic
  18. Image Captioning121 topic
  19. Medical Diagnosis121 topic
  20. Visual Question Answering121 topic
  21. Clinical Decision Support Systems111 topic
  22. Health Information Exchange111 topic

Where does Tristan Naumann work?

Tristan Naumann's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Tristan Naumann have?

OpenAlex counts 109 works and 9,951 citations for Tristan Naumann, an h-index of 32, ranking #66,277 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.

Discussion

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