Phil Green
About
Phil Green is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology.
According to data from OpenAlex, Phil Green has authored 148 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 44 papers in Signal Processing and 28 papers in Molecular Biology. Recurrent topics in Phil Green’s work include Speech Recognition and Synthesis (54 papers), Speech and Audio Processing (41 papers) and Color Science and Applications (23 papers). Phil Green is often cited by papers focused on Speech Recognition and Synthesis (54 papers), Speech and Audio Processing (41 papers) and Color Science and Applications (23 papers). Phil Green collaborates with scholars based in United Kingdom, United States and Australia. Phil Green's co-authors include Stuart Cunningham, Heidi Christensen, James M. Gilbert, Roger K. Moore and Stephen R. Ell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Genetics.
In The Last Decade
Fields of papers citing papers by Phil Green
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 Phil Green. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Phil Green may publish in the future.
Countries citing papers authored by Phil Green
Since SpecializationCitations
This map shows the geographic impact of Phil Green'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 Phil Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Green more than expected).
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