G. Evermann

About

G. Evermann is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Evermann has authored 5 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Evermann’s work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Advanced Data Compression Techniques (2 papers). G. Evermann is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Advanced Data Compression Techniques (2 papers). G. Evermann collaborates with scholars based in United Kingdom. G. Evermann's co-authors include Philip C. Woodland, Mark Gales, Thomas Hain, Ho Yin Chan and Xiaobing Liu and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing.

In The Last Decade

Fields of papers citing papers by G. Evermann

Since Specialization

EngineeringComputer 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 G. Evermann. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G. Evermann may publish in the future.

Countries citing papers authored by G. Evermann

Since Specialization

Citations

This map shows the geographic impact of G. Evermann'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 G. Evermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Evermann more than expected).

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