Michael Georgiopoulos

130 papers and 1.8k indexed citations i.

About

Michael Georgiopoulos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Georgiopoulos has authored 130 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Georgiopoulos’s work include Neural Networks and Applications (52 papers), Face and Expression Recognition (24 papers) and Fuzzy Logic and Control Systems (21 papers). Michael Georgiopoulos is often cited by papers focused on Neural Networks and Applications (52 papers), Face and Expression Recognition (24 papers) and Fuzzy Logic and Control Systems (21 papers). Michael Georgiopoulos collaborates with scholars based in United States, Costa Rica and Türkiye. Michael Georgiopoulos's co-authors include Gregory L. Heileman, Georgios C. Anagnostopoulos, George Bebis, Mansooreh Mollaghasemi and Jimmy Secretan and has published in prestigious journals such as IEEE Transactions on Communications, Pattern Recognition and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Fields of papers citing papers by Michael Georgiopoulos

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

Countries citing papers authored by Michael Georgiopoulos

Since Specialization

Citations

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

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