David Graff
About
David Graff is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Materials Chemistry.
According to data from OpenAlex, David Graff has authored 26 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 8 papers in Materials Chemistry. Recurrent topics in David Graff’s work include Speech Recognition and Synthesis (9 papers), Machine Learning in Materials Science (8 papers) and Computational Drug Discovery Methods (8 papers). David Graff is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Machine Learning in Materials Science (8 papers) and Computational Drug Discovery Methods (8 papers). David Graff collaborates with scholars based in United States, Ireland and Taiwan. David Graff's co-authors include Robert R. Knowles, Qilei Zhu, Connor W. Coley, Joachim Demaerel, Casey B. Roos, Eugene I. Shakhnovich, Charles J. McGill, Florence H. Vermeire, Esther Heid and Kevin P. Greenman and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of the Acoustical Society of America and Chemical Science.
In The Last Decade
Co-authorship network of co-authors of David Graff i
Fields of papers citing papers by David Graff
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 David Graff. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David Graff may publish in the future.
Countries citing papers authored by David Graff
Since SpecializationCitations
This map shows the geographic impact of David Graff'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 David Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Graff more than expected).
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