The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Serkan Kiranyaz sits on this spectrum.
This scientist: 320 publications — 77th percentile
77% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Serkan Kiranyaz sits on this spectrum.
This scientist: 53 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Serkan Kiranyaz is affiliated with Qatar University in Qatar and has contributed extensively to the fields of engineering, computer science, and medicine. Their research spans a diverse range of subfields including computer vision and pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, cardiology and cardiovascular medicine, as well as biomedical engineering.
The scientist has authored a significant number of publications focused on topics such as COVID-19 diagnosis using AI, ECG monitoring and analysis, EEG and brain-computer interfaces, image and signal denoising methods, non-invasive vital sign monitoring, machine fault diagnosis techniques, and radiomics and machine learning in medical imaging.
Frequent publication venues include:
Among the recent papers authored or co-authored by Serkan Kiranyaz are:
Collaborative work features multiple frequent co-authors, including:
Serkan Kiranyaz's research activity demonstrates engagements in both theoretical and applied aspects of engineering and biomedical sciences. The scientist's work on one-dimensional convolutional neural networks has appeared in venues connected to both Qatar University and Mechanical Systems and Signal Processing, indicating a multidisciplinary approach combining machine learning with real-world applications.
The emphasis on COVID-19-related studies, particularly those focusing on diagnosis and severity grading from medical imaging, aligns with broader trends in medical AI research during recent years. Their contributions also extend into vibration-based structural health monitoring through machine learning techniques, merging engineering disciplines with artificial intelligence.
Serkan Kiranyaz;Onur Avci;Osama Abdeljaber;Turker Ince
Serkan Kiranyaz;Turker Ince;Moncef Gabbouj
Turker Ince;Serkan Kiranyaz;Levent Eren;Murat Askar
Osama Abdeljaber;Onur Avci;Serkan Kiranyaz;Moncef Gabbouj
Onur Avci;Osama Abdeljaber;Serkan Kiranyaz;Mohammed Hussein
Tawsifur Rahman;Amith Khandakar;Yazan Qiblawey;Anas Tahir
Levent Eren;Turker Ince;Serkan Kiranyaz
T. Ince;S. Kiranyaz;M. Gabbouj
Osama Abdeljaber;Onur Avci;Mustafa Serkan Kiranyaz;Boualem Boashash;Boualem Boashash
Serkan Kiranyaz;Adel Gastli;Lazhar Ben-Brahim;Nasser Al-Emadi
Serkan Kiranyaz;Turker Ince;Osama Abdeljaber;Onur Avci
Serkan Kiranyaz;Turker Ince;Alper Yildirim;Moncef Gabbouj
Serkan Kiranyaz;Turker Ince;Ridha Hamila;Moncef Gabbouj
Onur Avci;Osama Abdeljaber;Serkan Kiranyaz;Mohammed Hussein
Serkan Kiranyaz;Turker Ince;Moncef Gabbouj
Stefan Uhlmann;Serkan Kiranyaz
Anas M. Tahir;Muhammad E.H. Chowdhury;Amith Khandakar;Tawsifur Rahman
Morteza Zabihi;Ali Bahrami Rad;Serkan Kiranyaz;Moncef Gabbouj
S. Kiranyaz;T. Ince;A. Yildirim;M. Gabbouj
Serkan Kiranyaz;Onur Avci;Osama Abdeljaber;Turker Ince
Morteza Zabihi;Ali Bahrami Rad;Aggelos K. Katsaggelos;Serkan Kiranyaz
Tawsifur Rahman;Amith Khandakar;Yazan Qiblawey;Anas Tahir
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