Akram Bayat
About
Akram Bayat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Akram Bayat has authored 4 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Akram Bayat’s work include AI in cancer detection (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Akram Bayat is often cited by papers focused on AI in cancer detection (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Akram Bayat collaborates with scholars based in United States. Akram Bayat's co-authors include Marc Pomplun, Pratik Shah, Alarice Lowe, Annacarolina da Silva and Duc A. Tran and has published in prestigious journals such as JAMA Network Open.
In The Last Decade
Fields of papers citing papers by Akram Bayat
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 Akram Bayat. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Akram Bayat may publish in the future.
Countries citing papers authored by Akram Bayat
Since SpecializationCitations
This map shows the geographic impact of Akram Bayat'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 Akram Bayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akram Bayat more than expected).
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