Umut Özertem

33 papers and 438 indexed citations i.

About

Umut Özertem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Umut Özertem has authored 33 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Umut Özertem’s work include Blind Source Separation Techniques (8 papers), Neural Networks and Applications (5 papers) and Image and Signal Denoising Methods (5 papers). Umut Özertem is often cited by papers focused on Blind Source Separation Techniques (8 papers), Neural Networks and Applications (5 papers) and Image and Signal Denoising Methods (5 papers). Umut Özertem collaborates with scholars based in United States, Spain and Norway. Umut Özertem's co-authors include Deniz Erdoğmuş, Robert Jenssen, Rosie Jones, Imed Zitouni, Jiepu Jiang, Ahmed Hassan Awadallah, Olivier Chapelle, Tamara Hayes, Pınar Dönmez and Misha Pavel and has published in prestigious journals such as IEEE Transactions on Image Processing, Communications of the ACM and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Umut Özertem i

Fields of papers citing papers by Umut Özertem

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

Countries citing papers authored by Umut Özertem

Since Specialization
Citations

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

Rankless by CCL
2025