Feras Dayoub

About

Feras Dayoub is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Feras Dayoub has authored 55 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Feras Dayoub’s work include Robotics and Sensor-Based Localization (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Neural Network Applications (15 papers). Feras Dayoub is often cited by papers focused on Robotics and Sensor-Based Localization (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Advanced Neural Network Applications (15 papers). Feras Dayoub collaborates with scholars based in Australia, United Kingdom and Switzerland. Feras Dayoub's co-authors include Niko Sünderhauf, Ben Upcroft, Chris McCool, Tristán Pérez, Michael Milford, Haoyang Zhang, Inkyu Sa, Ying Wang, Zongyuan Ge and Sareh Shirazi and has published in prestigious journals such as Sensors, IEEE Access and The International Journal of Robotics Research.

In The Last Decade

Co-authorship network of co-authors of Feras Dayoub i

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Fields of papers citing papers by Feras Dayoub

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

Countries citing papers authored by Feras Dayoub

Since Specialization

Citations

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

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