Carey E. Priebe
About
Carey E. Priebe is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Carey E. Priebe has authored 223 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Artificial Intelligence, 60 papers in Statistical and Nonlinear Physics and 58 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carey E. Priebe’s work include Complex Network Analysis Techniques (60 papers), Advanced Graph Neural Networks (33 papers) and Bayesian Methods and Mixture Models (31 papers). Carey E. Priebe is often cited by papers focused on Complex Network Analysis Techniques (60 papers), Advanced Graph Neural Networks (33 papers) and Bayesian Methods and Mixture Models (31 papers). Carey E. Priebe collaborates with scholars based in United States, United Kingdom and Türkiye. Carey E. Priebe's co-authors include Minh Tang, Youngser Park, David J. Marchette, Joshua T Vogelstein, Daniel L. Sussman, Vince Lyzinski, Donniell E. Fishkind, Avanti Athreya, John M. Conroy and Joshua Cape and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.
In The Last Decade
Co-authorship network of co-authors of Carey E. Priebe i
Fields of papers citing papers by Carey E. Priebe
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 Carey E. Priebe. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Carey E. Priebe may publish in the future.
Countries citing papers authored by Carey E. Priebe
Since SpecializationCitations
This map shows the geographic impact of Carey E. Priebe'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 Carey E. Priebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carey E. Priebe more than expected).
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