Omer Demirkaya
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- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 3
- Biophysics top 5%
- Cell Image Analysis Techniques 4
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- Medical Image Segmentation Techniques 3
- Digital Imaging for Blood Diseases 2
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- Advanced X-ray and CT Imaging 6
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- Gene expression and cancer classification 3
- Co-authors
- Erik L. RitmanSteven M. JorgensenMusa Hakan AsyalıDilek ÇolakMehmet Sait InanMohamed M. ShoukriPrasanna K. SahooWijdan Al‐Ahmadi
- Journals
- Physics in Medicine and Biology (2 papers)Cardiovascular Pathology (1 paper)BMC Molecular Biology (1 paper)
- Partner nations
- Saudi ArabiaUnited StatesTürkiye
In The Last Decade
Omer Demirkaya
22 papers receiving 569 citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 205
- Biophysics 49
- Computer Vision and Pattern Recognition 100
- Biomedical Engineering 140
- Radiation 22
Countries citing papers authored by Omer Demirkaya
This map shows the geographic impact of Omer Demirkaya'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 Omer Demirkaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omer Demirkaya more than expected).
Fields of papers citing papers by Omer Demirkaya
This network shows the impact of papers produced by Omer Demirkaya. 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 Omer Demirkaya. The network helps show where Omer Demirkaya may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Omer Demirkaya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2019 | 6 | |
| 3 | Image Processing with Matlab: Applications in Medicine and Biology | 2018 | 28 |
| 4 | 2009 | 13 | |
| 5 | 2008 | 34 | |
| 6 | 2007 | 2 | |
| 7 | 2006 | 91 | |
| 8 | 2006 | 13 | |
| 9 | 2005 | 43 | |
| 10 | 2004 | 8 | |
| 11 | 2004 | 8 | |
| 12 | 2004 | 2 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 25 | |
| 15 | 2002 | 1 | |
| 16 | 2001 | 38 | |
| 17 | Automated identification of stained cells in tissue sections using digital image analysis. | 1999 | 5 |
| 18 | 1999 | 1 | |
| 19 | 1998 | 230 | |
| 20 | 1996 | 7 |
About Omer Demirkaya
Omer Demirkaya is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 579 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (6 papers), Cell Image Analysis Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (205 citations), Biophysics (49 citations) and Computer Vision and Pattern Recognition (100 citations). Omer Demirkaya has collaborated with scholars based in Saudi Arabia, United States and Türkiye. Frequent co-authors include Erik L. Ritman, Steven M. Jorgensen, Musa Hakan Asyalı, Dilek Çolak, Mehmet Sait Inan, Mohamed M. Shoukri, Prasanna K. Sahoo, Wijdan Al‐Ahmadi, Khalid S.A. Khabar and Maher Al‐Saif. Their work appears in journals such as Physics in Medicine and Biology, Cardiovascular Pathology, BMC Molecular Biology, Academic Radiology and Signal Processing Image Communication.
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.