Ulaş Bağcı
Impact in
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 67
- COVID-19 diagnosis using AI 27
- Medical Imaging Techniques and Applications 20
-
- Medical Image Segmentation Techniques 37
- Advanced Neural Network Applications 22
- Co-authors
- Daniel J. Mollura (36 shared papers)Ziyue Xu (23 shared papers)Jayaram K. Udupa (15 shared papers)Brent Foster (13 shared papers)Xinjian Chen (15 shared papers)Awais Mansoor (8 shared papers)Jianhua Yao (15 shared papers)Georgios Z. Papadakis (24 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (7 papers)Medical Image Analysis (4 papers)Gastroenterology (4 papers)IEEE Transactions on Biomedical Engineering (4 papers)Medical Physics (3 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Ulaş Bağcı
195 papers receiving 4.1k citations
Ulaş Bağcı's Hit Papers
Peers
Comparison fields: 5 of 170
- Health Informatics 121
- Radiology, Nuclear Medicine and Imaging 2.1k
- Computer Vision and Pattern Recognition 1.2k
- Neurology 255
- Artificial Intelligence 934
Countries citing papers authored by Ulaş Bağcı
This map shows the geographic impact of Ulaş Bağcı'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 Ulaş Bağcı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulaş Bağcı more than expected).
Fields of papers citing papers by Ulaş Bağcı
This network shows the impact of papers produced by Ulaş Bağcı. 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 Ulaş Bağcı. The network helps show where Ulaş Bağcı may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulaş Bağcı, 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 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 259 | |
| 2 | 2019 | 189 | |
| 3 | 2016 | 179 | |
| 4 | 2015 | 170 | |
| 5 | 2012 | 168 | |
| 6 | 2013 | 127 | |
| 7 | 2023 | 123 | |
| 8 | Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8 Hit paper breakdown → | 2023 | 121 |
| 9 | 2018 | 120 | |
| 10 | 2014 | 118 | |
| 11 | Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation Hit paper breakdown → | 2024 | 105 |
| 12 | 2019 | 98 | |
| 13 | 2018 | 97 | |
| 14 | 2022 | 90 | |
| 15 | 2020 | 86 | |
| 16 | 2011 | 63 | |
| 17 | 2021 | 59 | |
| 18 | 2019 | 59 | |
| 19 | 2020 | 56 | |
| 20 | 2021 | 54 |
About Ulaş Bağcı
Ulaş Bağcı is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 217 papers that have together received 4.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (67 papers), Medical Image Segmentation Techniques (37 papers), AI in cancer detection (36 papers), COVID-19 diagnosis using AI (27 papers), Medical Imaging and Analysis (23 papers), Advanced Neural Network Applications (22 papers), Medical Imaging Techniques and Applications (20 papers) and Lung Cancer Diagnosis and Treatment (15 papers). The work is most often cited by research in Health Informatics (121 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Computer Vision and Pattern Recognition (1.2k citations), Neurology (255 citations) and Artificial Intelligence (934 citations). Ulaş Bağcı has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Daniel J. Mollura, Ziyue Xu, Jayaram K. Udupa, Brent Foster, Xinjian Chen, Awais Mansoor, Jianhua Yao, Georgios Z. Papadakis, Sarfaraz Hussein and Michael B. Wallace. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Gastroenterology, IEEE Transactions on Biomedical Engineering and Medical Physics.
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.