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Portrait of Ekrem Çetinkaya

Ekrem Çetinkaya

Assistant Professor, Yıldız Technical University

Verified email at yildiz.edu.tr

  • AI
  • Video Coding
  • Computer Vision
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Ekrem received his B.Sc. and M.Sc. degrees in computer science from Ozyegin University, Istanbul, Türkiye, in 2018 and 2019, respectively, and his Ph.D. degree from Alpen-Adria-Universitaet Klagenfurt, Klagenfurt, Austria, in 2023. In 2025, he joined the Department of Artificial Intelligence and Data Engineering at Yıldız Technical University as an Assistant Professor. He has served as Proceedings Chair for the 2022, 2026, and 2027 editions of the ACM MHV, as well as the 2026 IEEE MMSP. He has also reviewed papers for various journals, including IEEE MultiMedia and IEEE Transactions on Multimedia. His research interests include artificial intelligence, machine learning, deep learning, computer vision, and video coding.

Updated daily. Last sync 17 Oct 2026, 04:00 UTCGoogle Scholar profile
Citations
262
258 since 2021
+1 since 16 Oct 2026
h-index
10
10 since 2021
i10-index
11
11 since 2021

Citations per year

2026 so far

Use the left and right arrow keys to move between years.

Citations per year
20204
202130
202218
202347
202458
202566
202639

Citations received each calendar year, as counted by Google Scholar. Point at a bar, or use the arrow keys, for the exact number.

Most cited papers

  1. Hybrid P2P-CDN architecture for live video streaming: An online learning approach

    GLOBECOM 2022-2022 IEEE Global Communications Conference, 1911-1917, 2022

    40citations

  2. Alive: A latency-and cost-aware hybrid p2p-cdn framework for live video streaming

    IEEE Transactions on Network and Service Management 21 (2), 1561-1580, 2023

    39citations

  3. CTU depth decision algorithms for HEVC: A survey

    Signal Processing: Image Communication 99, 116442, 2021

    38citations