Özgur Güler
Impact in
- Health Informatics top 5%
- Occupational Therapy top 5%
Papers in
-
- Adversarial Robustness in Machine Learning 3
- AI in cancer detection 3
-
- Augmented Reality Applications 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Murat Kuzlu (14 shared papers)Ümit Cali (7 shared papers)Vinayak Sharma (1 shared paper)Salih Sarp (10 shared papers)Ferhat Özgür Çatak (5 shared papers)Emmanuel Wilson (4 shared papers)Gerd Tinkhauser (1 shared paper)Wolfgang Recheis (1 shared paper)
- Journals
- Medical Physics (2 papers)The Journal of Engineering (2 papers)IEEE Access (2 papers)Neuroradiology (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- United StatesNorwayTürkiye
In The Last Decade
Özgur Güler
29 papers receiving 645 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 37
- Occupational Therapy 37
- Artificial Intelligence 218
- Signal Processing 58
- Rehabilitation 31
Countries citing papers authored by Özgur Güler
This map shows the geographic impact of Özgur Güler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Özgur Güler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özgur Güler more than expected).
Fields of papers citing papers by Özgur Güler
This network shows the impact of papers produced by Özgur Güler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Özgur Güler. The network helps show where Özgur Güler may publish in the future.
Co-authors
The 25 scholars most cited alongside Özgur Güler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2021 | 135 | |
| 3 | 2010 | 86 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2013 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2013 | 13 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 4 | |
| 20 | 2019 | 4 |
About Özgur Güler
Özgur Güler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Occupational Therapy, Electrical and Electronic Engineering and Surgery, having authored 31 papers that have together received 673 indexed citations. Recurring topics across this work include Pressure Ulcer Prevention and Management (4 papers), Adversarial Robustness in Machine Learning (3 papers), AI in cancer detection (3 papers), Augmented Reality Applications (2 papers), Surgical Simulation and Training (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Flood Risk Assessment and Management (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Health Informatics (37 citations), Occupational Therapy (37 citations), Artificial Intelligence (218 citations), Signal Processing (58 citations) and Rehabilitation (31 citations). Özgur Güler has collaborated with scholars based in United States, Norway and Türkiye. Frequent co-authors include Murat Kuzlu, Ümit Cali, Vinayak Sharma, Salih Sarp, Ferhat Özgür Çatak, Emmanuel Wilson, Gerd Tinkhauser, Wolfgang Recheis, Thaddaeus Gotwald and Günther Stockhammer. Their work appears in journals such as Medical Physics, The Journal of Engineering, IEEE Access, Neuroradiology and International Journal of Medical Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.