David Talby
David Talby publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Topic Modeling, Biomedical Text Mining and Ontologies and Machine Learning in Healthcare.
- World rank
- #1,344,498 of 7,710,434 ranked researchers
- Rank in United States
- #426,338 of 1,627,098
- Works
- 54
- Citations
- 908
- Citations per work
- 16.8
What does David Talby research?
David Talby's work is mostly in Computer Science (67%), Biochemistry, Genetics and Molecular Biology (10%), Medicine (7%).
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 Sciences3667.1%
- Computer Science3667.1%
- Everything else916.1%
- Life Sciences510.1%
- Health Sciences46.7%
- Medicine46.7%
- 1Artificial Intelligence36% of their works
- 2Information Systems13% of their works
- 3Computer Networks and Communications13% of their works
- 4Molecular Biology10% of their works
- 5Health Informatics7% of their works
- 6Hardware and Architecture5% of their works
Research topics
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- Software System Performance and Reliability
- Natural Language Processing Techniques
- Software Engineering Techniques and Practices
- Distributed and Parallel Computing Systems
Which keywords describe David Talby's research?
The keywords of their largest research topics: Healthcare, Precision Medicine, Neural Networks, Word Representation, Biomedical Ontologies, Text Mining, Deep Learning and Distributed Systems.
- Grid Computing
- Neural Machine Translation
- Agile Software Development
- Log Analysis
- Artificial Intelligence
- Distributed Systems
- Text Mining
- Word Representation
- Precision Medicine
- Healthcare
- Neural Networks
- Biomedical Ontologies
- Deep Learning
- Electronic Health Records
- Machine Learning
- Performance Prediction
- Empirical Studies
- Statistical Machine Translation
- Resource Management
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 19 words, with their numbers
- Healthcare242 topics
- Precision Medicine242 topics
- Neural Networks181 topic
- Word Representation181 topic
- Biomedical Ontologies151 topic
- Text Mining151 topic
- Deep Learning141 topic
- Distributed Systems142 topics
- Electronic Health Records141 topic
- Artificial Intelligence101 topic
- Machine Learning101 topic
- Log Analysis81 topic
- Performance Prediction81 topic
- Agile Software Development71 topic
- Empirical Studies71 topic
- Neural Machine Translation71 topic
- Statistical Machine Translation71 topic
- Grid Computing61 topic
- Resource Management61 topic
Where does David Talby work?
David Talby's main affiliation in the publication record is John Snow (United States), United States.
How many publications and citations does David Talby have?
OpenAlex counts 54 works and 908 citations for David Talby, an h-index of 14, ranking #1,344,498 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.
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