Michael Fop
About
Michael Fop is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics.
According to data from OpenAlex, Michael Fop has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael Fop’s work include Bayesian Methods and Mixture Models (9 papers), Advanced Clustering Algorithms Research (6 papers) and Complex Network Analysis Techniques (3 papers). Michael Fop is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Advanced Clustering Algorithms Research (6 papers) and Complex Network Analysis Techniques (3 papers). Michael Fop collaborates with scholars based in Ireland, Italy and United States. Michael Fop's co-authors include Thomas Brendan Murphy, Luca Scrucca, Adrian E. Raftery, Keith M. Smart, Noel McCaffrey, Kieran Moran, Siobhán O’Connor, Enda Whyte, Marco Alfò and Aisling Ní Annaidh and has published in prestigious journals such as Scientific Reports, Acta Biomaterialia and Annals of Biomedical Engineering.
In The Last Decade
Co-authorship network of co-authors of Michael Fop i
Fields of papers citing papers by Michael Fop
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 Michael Fop. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Fop may publish in the future.
Countries citing papers authored by Michael Fop
Since SpecializationCitations
This map shows the geographic impact of Michael Fop'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 Michael Fop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fop more than expected).
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