Azadeh Mansouri

16 papers and 181 indexed citations i.

About

Azadeh Mansouri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Azadeh Mansouri has authored 16 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Azadeh Mansouri’s work include Advanced Steganography and Watermarking Techniques (6 papers), Image and Video Quality Assessment (6 papers) and Digital Media Forensic Detection (5 papers). Azadeh Mansouri is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Image and Video Quality Assessment (6 papers) and Digital Media Forensic Detection (5 papers). Azadeh Mansouri collaborates with scholars based in Iran, United Kingdom and Tunisia. Azadeh Mansouri's co-authors include Ahmad Mahmoudi-Aznaveh, Farah Torkamani‐Azar, Fatih Kurugöllü, Yaroub Elloumi and Mohamed Hédi Bedoui and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Information Forensics and Security and Multimedia Tools and Applications.

In The Last Decade

Fields of papers citing papers by Azadeh Mansouri

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

Countries citing papers authored by Azadeh Mansouri

Since Specialization
Citations

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

Rankless by CCL
2025