Maryam Kheirabadi

12 papers and 315 indexed citations i.

About

Maryam Kheirabadi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Maryam Kheirabadi has authored 12 papers receiving a total of 315 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 3 papers in Computer Networks and Communications. Recurrent topics in Maryam Kheirabadi’s work include IoT and Edge/Fog Computing (3 papers), Innovative Education and Learning Practices (2 papers) and Advanced Neural Network Applications (2 papers). Maryam Kheirabadi is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Innovative Education and Learning Practices (2 papers) and Advanced Neural Network Applications (2 papers). Maryam Kheirabadi collaborates with scholars based in Iran, United Kingdom and Germany. Maryam Kheirabadi's co-authors include Seyyed Javad Seyyed Mahdavi Chabok, Seyed Reza Kamel, Seyed Reza Kamel Tabbakh, Reza Ghaemi and Mahdi Yaghoobi and has published in prestigious journals such as Biomedical Signal Processing and Control, Journal of Parallel and Distributed Computing and Journal Of Big Data.

In The Last Decade

Fields of papers citing papers by Maryam Kheirabadi

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

Countries citing papers authored by Maryam Kheirabadi

Since Specialization
Citations

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

Rankless by CCL
2025