Mohammad Gheshlaghi Azar

16 papers and 1.2k indexed citations i.

About

Mohammad Gheshlaghi Azar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Gheshlaghi Azar has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Mohammad Gheshlaghi Azar’s work include Reinforcement Learning in Robotics (12 papers), Advanced Bandit Algorithms Research (6 papers) and Machine Learning and Algorithms (3 papers). Mohammad Gheshlaghi Azar is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Advanced Bandit Algorithms Research (6 papers) and Machine Learning and Algorithms (3 papers). Mohammad Gheshlaghi Azar collaborates with scholars based in United States, United Kingdom and France. Mohammad Gheshlaghi Azar's co-authors include Rémi Munos, Bilal Piot, Hilbert J. Kappen, Will Dabney and Eva L. Dyer and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and Nature Biomedical Engineering.

In The Last Decade

Fields of papers citing papers by Mohammad Gheshlaghi Azar

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

Countries citing papers authored by Mohammad Gheshlaghi Azar

Since Specialization
Citations

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Rankless by CCL
2025