Burak Acar
- Radiology, Nuclear Medicine and Imaging top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Oncology top 10%
- Co-authors
- Roland BammerMichael E. MoseleySandy NapelMarek MalíkKaterina HnatkovaDavid S. PaikChristian BeaulieuChunlei Liu
- Topics
- Advanced Neuroimaging Techniques and Applications (13 papers)Image Retrieval and Classification Techniques (9 papers)ECG Monitoring and Analysis (9 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Burak Acar
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 864
- Cardiology and Cardiovascular Medicine 636
- Computer Vision and Pattern Recognition 481
- Artificial Intelligence 355
- Oncology 312
Countries citing papers authored by Burak Acar
This map shows the geographic impact of Burak Acar'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 Burak Acar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burak Acar more than expected).
Fields of papers citing papers by Burak Acar
This network shows the impact of papers produced by Burak Acar. 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 Burak Acar. The network helps show where Burak Acar may publish in the future.
Co-authorship network of co-authors of Burak Acar
This figure shows the co-authorship network connecting the top 25 collaborators of Burak Acar. A scholar is included among the top collaborators of Burak Acar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Burak Acar. Burak Acar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 47 | |
| 5 | 49 | |
| 6 | Overview of the ImageCLEF 2015 liver CT annotation task | 6 |
| 7 | Liver CT Annotation via Generalized Coupled Tensor Factorization. | 5 |
| 8 | ImageCLEF Liver CT Image Annotation Task 2014. | 9 |
| 9 | 244 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 191 | |
| 13 | 34 | |
| 14 | 154 | |
| 15 | 125 | |
| 16 | 131 | |
| 17 | 117 | |
| 18 | 11 | |
| 19 | 33 | |
| 20 | 17 |
About Burak Acar
Burak Acar is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Image Retrieval and Classification Techniques (9 papers) and ECG Monitoring and Analysis (9 papers). The work is most often cited by research in Computational Mathematics (47 citations), Radiology, Nuclear Medicine and Imaging (864 citations) and Cardiology and Cardiovascular Medicine (636 citations). Burak Acar has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Roland Bammer, Michael E. Moseley, Sandy Napel, Marek Malík, Katerina Hnatkova, David S. Paik, Christian Beaulieu, Chunlei Liu, Judy Yee and R. Brooke Jeffrey. Their work appears in journals such as Circulation, Magnetic Resonance in Medicine and Expert Systems with Applications.
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.