Science Explorer Back to mapMap
Discussion
Researcher · Aselsan (Turkey) · Türkiye

Mehmet Umut Demircin

Mehmet Umut Demircin publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Image and Video Quality Assessment, Video Coding and Compression Technologies and Advanced Fiber Optic Sensors.

OpenAlex
World rank
#3,700,955
of 7,710,434 ranked researchers
Rank in Türkiye
#26,607
of 117,622
Works
15
Citations
226
Citations per work
15.1
h-index
7
i10-index 5Top 74% in Electrical and Electronic Engineering
Mehmet Umut Demircin

What does Mehmet Umut Demircin research?

Mehmet Umut Demircin's work is mostly in Computer Science (56%), Engineering (37%).

Physical Sciences: 14 works · 93.1% of their workComputer Science: 8 works · 55.8% of their workComputer Vision and Pattern Recognition: 4 works · 25.6% of their workComputer Networks and Communications: 2 works · 16.3% of their workSignal Processing: 2 works · 11.6% of their workArtificial Intelligence: 0 works · 2.3% of their workEngineering: 6 works · 37.3% of their workElectrical and Electronic Engineering: 5 works · 32.6% of their workCivil and Structural Engineering: 1 works · 4.7% of their workEverything else: 1 works · 6.9% of their workTHEIR WORKMehmet UmutDemircin15works
Physical Sciences93%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science855.8%
    2. Engineering637.3%
  2. Everything else16.9%
  1. 1Electrical and Electronic Engineering33% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Computer Networks and Communications16% of their works
  4. 4Signal Processing12% of their works
  5. 5Civil and Structural Engineering5% of their works
  6. 6Artificial Intelligence2% of their works

Research topics

Which keywords describe Mehmet Umut Demircin's research?

The keywords of their largest research topics: Deep Learning, Video Coding, Mobile Networks, Image Quality Assessment, Perceptual Quality, Fiber Optic Sensors, H.264/AVC and High Efficiency Video Coding (HEVC).

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Deep Learning92 topics
  2. Video Coding82 topics
  3. Mobile Networks72 topics
  4. Image Quality Assessment61 topic
  5. Perceptual Quality61 topic
  6. Fiber Optic Sensors51 topic
  7. H.264/AVC51 topic
  8. High Efficiency Video Coding (HEVC)51 topic
  9. Optical Fiber51 topic
  10. Resource Allocation51 topic
  11. Wireless Communication51 topic
  12. JPEG200031 topic
  13. Wavelet Compression31 topic
  14. Caching21 topic
  15. IEEE 802.1121 topic
  16. Information-Centric Networking21 topic
  17. MAC Protocol21 topic
  18. Vibration-based Damage Identification21 topic
  19. Wireless Sensors21 topic

Where does Mehmet Umut Demircin work?

Mehmet Umut Demircin's main affiliation in the publication record is Aselsan (Turkey), Türkiye.

How many publications and citations does Mehmet Umut Demircin have?

OpenAlex counts 15 works and 226 citations for Mehmet Umut Demircin, an h-index of 7, ranking #3,700,955 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Mehmet Umut Demircin. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.