Mehrdad Farajtabar

About

Mehrdad Farajtabar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Mehrdad Farajtabar has authored 29 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Mehrdad Farajtabar’s work include Complex Network Analysis Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Mehrdad Farajtabar is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Mehrdad Farajtabar collaborates with scholars based in United States, Iran and China. Mehrdad Farajtabar's co-authors include Hongyuan Zha, Le Song, Hamid R. Rabiee, Hassan Ghasemzadeh and Seyed Iman Mirzadeh and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Journal of Machine Learning Research.

In The Last Decade

Fields of papers citing papers by Mehrdad Farajtabar

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

Countries citing papers authored by Mehrdad Farajtabar

Since Specialization

Citations

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

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