H. Emre Güven
H. Emre Güven publishes mostly in Biomedical Engineering, Computational Mechanics and Computer Vision and Pattern Recognition, on topics such as Sparse and Compressive Sensing Techniques, Photoacoustic and Ultrasonic Imaging and Microwave Imaging and Scattering Analysis.
- World rank
- #4,763,630 of 7,710,434 ranked researchers
- Rank in Türkiye
- #42,874 of 117,622
- Works
- 47
- Citations
- 431
- Citations per work
- 9.2
What does H. Emre Güven research?
H. Emre Güven's work is mostly in Engineering (56%), Computer Science (11%), Medicine (9%).
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
- Physical Sciences3267.3%
- Engineering2756.4%
- Computer Science510.9%
- Everything else1124.0%
- Health Sciences48.7%
- Medicine48.7%
- 1Biomedical Engineering23% of their works
- 2Computational Mechanics19% of their works
- 3Computer Vision and Pattern Recognition11% of their works
- 4Aerospace Engineering10% of their works
- 5Radiology, Nuclear Medicine and Imaging9% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
- Sparse and Compressive Sensing Techniques
- Photoacoustic and Ultrasonic Imaging
- Microwave Imaging and Scattering Analysis
- Advanced SAR Imaging Techniques
- Geomagnetism and Paleomagnetism Studies
- Image and Signal Denoising Methods
- Characterization and Applications of Magnetic Nanoparticles
- Medical Imaging Techniques and Applications
Which keywords describe H. Emre Güven's research?
The keywords of their largest research topics: Compressed Sensing, Sparse Representation, Biomedical Applications, Convolutional Neural Networks, Deep Learning, Imaging, Breast Cancer Detection and Microwave Imaging.
- PET/CT
- Sparse Representations
- Magnetic Particle Imaging
- Geomagnetic Field
- Synthetic Aperture Radar
- Tomography
- Microwave Imaging
- Imaging
- Convolutional Neural Networks
- Sparse Representation
- Compressed Sensing
- Biomedical Applications
- Deep Learning
- Breast Cancer Detection
- Photoacoustic Imaging
- Micro-Doppler Effect
- Ferrofluids
- Image Denoising
- Magnetosome Formation
- Cancer
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 20 words, with their numbers
- Compressed Sensing241 topic
- Sparse Representation241 topic
- Biomedical Applications162 topics
- Convolutional Neural Networks142 topics
- Deep Learning142 topics
- Imaging112 topics
- Breast Cancer Detection101 topic
- Microwave Imaging101 topic
- Photoacoustic Imaging101 topic
- Tomography101 topic
- Micro-Doppler Effect81 topic
- Synthetic Aperture Radar81 topic
- Ferrofluids61 topic
- Geomagnetic Field61 topic
- Image Denoising61 topic
- Magnetic Particle Imaging61 topic
- Magnetosome Formation61 topic
- Sparse Representations61 topic
- Cancer51 topic
- PET/CT51 topic
Where does H. Emre Güven work?
H. Emre Güven's main affiliation in the publication record is Aselsan (Turkey), Türkiye.
How many publications and citations does H. Emre Güven have?
OpenAlex counts 47 works and 431 citations for H. Emre Güven, an h-index of 10, ranking #4,763,630 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.
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