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 Kutluyil Dogancay sits on this spectrum.
This scientist: 234 publications — 58th percentile
58% 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 Kutluyil Dogancay sits on this spectrum.
This scientist: 41 D-Index — 40th percentile
40% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kutluyil Dogancay is affiliated with the University of South Australia in Australia and has a research focus primarily spanning engineering and computer science. Their work involves multiple subfields including electrical and electronic engineering, artificial intelligence, signal processing, aerospace engineering, and computational mechanics.
The scientist has contributed extensively to topics such as indoor and outdoor localization technologies, target tracking and data fusion in sensor networks, advanced adaptive filtering techniques, structural health monitoring techniques, image and signal denoising methods, blind source separation techniques, and distributed sensor networks and detection algorithms.
Frequent coauthors collaborating with Kutluyil Dogancay include:
Their research has been published in a variety of venues, with multiple publications appearing in:
Notable recent papers by Kutluyil Dogancay include:
Other significant publications (authored by colleagues with frequent collaboration) related to similar research areas include:
Adrian N. Bishop;Barış Fidan;Brian D. O. Anderson;Kutluyıl Doğançay
K. Dogancay;O. Tanrikulu
Unknown
Kutluyıl Doğançay;Hatem Hmam
K. Dogancay
K. Dogancay
Sheng Xu;Kutluyil Dogancay
Ngoc Hung Nguyen;Kutluyil Dogancay
Reza Arablouei;Stefan Werner;Yih-Fang Huang;Kutluyil Dogancay
Kutluyil Dogancay
Adrian N. Bishop;Barış Fidan;Kutluyıl Doğançay;Brian D. O. Anderson
Reza Arablouei;Kutluyil Dogancay;Stefan Werner;Yih-Fang Huang
Kutluyil Dogancay
Ngoc Hung Nguyen;Kutluyil Dogancay
Kutluyil Doğançay
A.N. Bishop;B. Fidan;B.D.O. Anderson;P.N. Pathirana
Reza Arablouei;Stefan Werner;Kutluyil Dogancay
A.N. Bishop;B. Fidan;B.D.O. Anderson;K. Dogancay
K. Dogancay;G. Ibal
Sheng Xu;Kutluyıl Doğançay;Hatem Hmam
Kutluyil Doğançay
If you think any of the details on this page are incorrect, let us know.
Pursuing a computer science degree in the USA opens doors to many related disciplines and career pathways. Students interested in technology often explore overlapping fields, many of which now offer flexible, online study options that make advanced education more accessible and affordable.
For those with a passion for problem-solving and innovation, considering a mechanical engineering degree online cost can help weigh financial factors before enrollment. Similarly, students keen on understanding the laws of nature may find value in earning an online bachelor's degree in physics.
The fast-growing data science sector also presents abundant opportunities, with programs ranked by affordability such as the cheapest data science degree. For those interested in systems and circuits, exploring electrical engineering degree online admissions processes can help streamline your application.
Exploring these related pathways can broaden your career options, connect you with emerging technologies, and allow you to pursue a degree that fits your budget and lifestyle.
Northwestern University
Concordia University
Zhejiang University
Birkbeck, University of London
University of Ottawa
University of Zurich
Allen Institute for Brain Science
University of Leicester
National Autonomous University of Mexico
University College London
University of Manchester
Tel Aviv University
University of California, Los Angeles
Radboud University
Anna University, Chennai
Sapienza University of Rome
