Safa Onur Şahin
Safa Onur Şahin publishes mostly in Artificial Intelligence, Signal Processing and Biophysics, on topics such as Neural Networks and Applications, Reinforcement Learning in Robotics and Machine Learning in Healthcare.
- World rank
- #4,076,842 of 7,710,434 ranked researchers
- Rank in Türkiye
- #31,915 of 117,622
- Works
- 16
- Citations
- 113
- Citations per work
- 7.1
What does Safa Onur Şahin research?
Safa Onur Şahin's work is mostly in Computer Science (70%), Biochemistry, Genetics and Molecular Biology (5%), Engineering (5%).
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 Sciences1378.4%
- Computer Science1170.3%
- Engineering15.4%
- Chemistry02.7%
- Everything else316.2%
- Life Sciences15.4%
- 1Artificial Intelligence60% of their works
- 2Signal Processing8% of their works
- 3Biophysics5% of their works
- 4Aerospace Engineering5% of their works
- 5Computer Vision and Pattern Recognition3% of their works
- 6Analytical Chemistry3% of their works
Research topics
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Machine Learning in Healthcare
- Spectroscopy Techniques in Biomedical and Chemical Research
- Data Stream Mining Techniques
- Time Series Analysis and Forecasting
- Spectroscopy and Chemometric Analyses
- Anomaly Detection Techniques and Applications
Which keywords describe Safa Onur Şahin's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Reinforcement Learning, Robotics, Electronic Health Records and Healthcare.
- Near-Infrared Spectroscopy
- Anomaly Detection
- Infrared Spectroscopy
- Data Streams
- Clustering
- Healthcare
- Robotics
- Self-Organizing Maps
- Neural Networks
- Deep Learning
- Backpropagation Learning
- Reinforcement Learning
- Electronic Health Records
- Time Series
- Concept Drift
- Dynamic Time Warping
- Raman Spectroscopy
- Multivariate Calibration
- Unsupervised
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
- Deep Learning155 topics
- Neural Networks103 topics
- Backpropagation Learning51 topic
- Self-Organizing Maps51 topic
- Reinforcement Learning41 topic
- Robotics41 topic
- Electronic Health Records31 topic
- Healthcare31 topic
- Time Series32 topics
- Clustering21 topic
- Concept Drift21 topic
- Data Streams21 topic
- Dynamic Time Warping21 topic
- Infrared Spectroscopy21 topic
- Raman Spectroscopy21 topic
- Anomaly Detection11 topic
- Multivariate Calibration11 topic
- Near-Infrared Spectroscopy11 topic
- Unsupervised11 topic
Where does Safa Onur Şahin work?
Safa Onur Şahin's main affiliation in the publication record is Aselsan (Turkey), Türkiye.
How many publications and citations does Safa Onur Şahin have?
OpenAlex counts 16 works and 113 citations for Safa Onur Şahin, an h-index of 3, ranking #4,076,842 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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