Jakub Siłka

10 papers and 585 indexed citations i.

About

Jakub Siłka has authored 10 papers that have received a total of 585 indexed citations. This includes 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are COVID-19 diagnosis using AI (3 papers), COVID-19 epidemiological studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Jakub Siłka is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), COVID-19 epidemiological studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers) and collaborates with scholars based in Poland, Saudi Arabia and Lithuania. Jakub Siłka's co-authors include Marcin Woźniak, Michał Wieczorek, Dawid Połap, Sahil Garg and Qiao Ke and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Fields of papers published by Jakub Siłka

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

Countries citing papers authored by Jakub Siłka

Since Specialization
Citations
Rankless by CCL
2025