Matthew Ragoza
About
Matthew Ragoza is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry.
According to data from OpenAlex, Matthew Ragoza has authored 7 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Matthew Ragoza’s work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (2 papers). Matthew Ragoza is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (2 papers). Matthew Ragoza collaborates with scholars based in United States, Australia and India. Matthew Ragoza's co-authors include David Ryan Koes, Jocelyn Sunseri, Joshua Hochuli, Tomohide Masuda, Rocco Meli, Paul Francoeur, Andrew T. McNutt, Rishal Aggarwal, Jasmine Collins and Kayhan Batmanghelich and has published in prestigious journals such as Chemical Science, Journal of Chemical Information and Modeling and Journal of Computer-Aided Molecular Design.
In The Last Decade
Co-authorship network of co-authors of Matthew Ragoza i
Fields of papers citing papers by Matthew Ragoza
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 Matthew Ragoza. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matthew Ragoza may publish in the future.
Countries citing papers authored by Matthew Ragoza
Since SpecializationCitations
This map shows the geographic impact of Matthew Ragoza'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 Matthew Ragoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ragoza more than expected).
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