Tristan Naumann
About
Tristan Naumann is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology.
According to data from OpenAlex, Tristan Naumann has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Tristan Naumann’s work include Machine Learning in Healthcare (13 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Tristan Naumann is often cited by papers focused on Machine Learning in Healthcare (13 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Tristan Naumann collaborates with scholars based in United States, United Kingdom and Canada. Tristan Naumann's co-authors include Marzyeh Ghassemi, Peter Szolovits, Hoifung Poon, Andrew L. Beam and Naoto Usuyama and has published in prestigious journals such as Nature Methods, Science Translational Medicine and Journal of Medical Internet Research.
In The Last Decade
Fields of papers citing papers by Tristan Naumann
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Tristan Naumann. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tristan Naumann may publish in the future.
Countries citing papers authored by Tristan Naumann
Since SpecializationCitations
This map shows the geographic impact of Tristan Naumann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tristan Naumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan Naumann more than expected).
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