David Kartchner
David Kartchner publishes mostly in Artificial Intelligence, Molecular Biology and Health, Toxicology and Mutagenesis, on topics such as Topic Modeling, Biomedical Text Mining and Ontologies and Machine Learning in Healthcare.
- World rank
- #1,916,905 of 7,710,434 ranked researchers
- Rank in United States
- #584,946 of 1,627,098
- Works
- 18
- Citations
- 685
- Citations per work
- 38.1
What does David Kartchner research?
David Kartchner's work is mostly in Computer Science (40%), Biochemistry, Genetics and Molecular Biology (15%), Environmental Science (4%).
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
- Physical Sciences844.8%
- Computer Science740.5%
- Environmental Science14.3%
- Everything else631.7%
- Life Sciences314.9%
- Health Sciences28.6%
- Health Professions14.3%
- Medicine14.3%
- 1Artificial Intelligence36% of their works
- 2Molecular Biology15% of their works
- 3Health, Toxicology and Mutagenesis4% of their works
- 4Infectious Diseases4% of their works
- 5Computational Theory and Mathematics4% of their works
- 6Health Information Management4% of their works
Research topics
Which keywords describe David Kartchner's research?
The keywords of their largest research topics: Neural Networks, Word Representation, Healthcare, Biomedical Ontologies, Machine Learning, Text Mining, Deep Learning and Electronic Health Records.
- Virtual Screening
- Protein-Protein Interaction Networks
- Neural Machine Translation
- Medical Diagnosis
- Gene Set Enrichment Analysis
- Electronic Health Records
- Text Mining
- Biomedical Ontologies
- Word Representation
- Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Big Data Analytics
- Hyperparameter Optimization
- Molecular Docking
- Noisy Labels
- Statistical Machine Translation
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 18 words, with their numbers
- Neural Networks61 topic
- Word Representation61 topic
- Healthcare52 topics
- Biomedical Ontologies41 topic
- Machine Learning42 topics
- Text Mining41 topic
- Deep Learning31 topic
- Electronic Health Records31 topic
- Big Data Analytics21 topic
- Gene Set Enrichment Analysis21 topic
- Hyperparameter Optimization21 topic
- Medical Diagnosis21 topic
- Molecular Docking21 topic
- Neural Machine Translation21 topic
- Noisy Labels21 topic
- Protein-Protein Interaction Networks21 topic
- Statistical Machine Translation21 topic
- Virtual Screening21 topic
Where does David Kartchner work?
David Kartchner's main affiliation in the publication record is Georgia Institute of Technology, United States.
How many publications and citations does David Kartchner have?
OpenAlex counts 18 works and 685 citations for David Kartchner, an h-index of 9, ranking #1,916,905 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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