Mutlu Mete
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in ⓘ
-
- Renal Transplantation Outcomes and Treatments 5
-
- Cell Image Analysis Techniques 6
- Co-authors
- Nikolay Sirakov (9 shared papers)Sinan Kockara (11 shared papers)Nurcan Yuruk (7 shared papers)Xiaowei Xu (1 shared paper)Fusheng Tang (1 shared paper)Ümit Topaloĝlu (3 shared papers)Thomas A. J. Schweiger (2 shared papers)Xiaowei Xu (2 shared papers)
- Journals
- BMC Bioinformatics (10 papers)Computerized Medical Imaging and Graphics (3 papers)Mathematical Methods in the Applied Sciences (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)IEEE Transactions on Energy Conversion (1 paper)
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Mutlu Mete
50 papers receiving 631 citations
Peers
Comparison fields: 5 of 117
- Transplantation 75
- Artificial Intelligence 237
- Oncology 195
- Biophysics 33
- Computer Vision and Pattern Recognition 99
Countries citing papers authored by Mutlu Mete
This map shows the geographic impact of Mutlu Mete'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 Mutlu Mete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutlu Mete more than expected).
Fields of papers citing papers by Mutlu Mete
This network shows the impact of papers produced by Mutlu Mete. 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 Mutlu Mete. The network helps show where Mutlu Mete may publish in the future.
Co-authors
The 25 scholars most cited alongside Mutlu Mete, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 93 | |
| 2 | 2015 | 48 | |
| 3 | 2010 | 38 | |
| 4 | 2010 | 35 | |
| 5 | 2016 | 33 | |
| 6 | 2007 | 27 | |
| 7 | 2011 | 27 | |
| 8 | 2009 | 26 | |
| 9 | 2012 | 24 | |
| 10 | 2019 | 22 | |
| 11 | 2010 | 19 | |
| 12 | 2007 | 18 | |
| 13 | 2009 | 15 | |
| 14 | 2011 | 14 | |
| 15 | 2009 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2010 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2019 | 11 |
About Mutlu Mete
Mutlu Mete is a scholar working on Transplantation, Biophysics, Health Informatics, Oncology and Artificial Intelligence, having authored 51 papers that have together received 654 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), AI in cancer detection (16 papers), Cell Image Analysis Techniques (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Optical Coherence Tomography Applications (4 papers), Digital Imaging for Blood Diseases (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Transplantation (75 citations), Artificial Intelligence (237 citations), Oncology (195 citations), Biophysics (33 citations) and Computer Vision and Pattern Recognition (99 citations). Mutlu Mete has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Nikolay Sirakov, Sinan Kockara, Nurcan Yuruk, Xiaowei Xu, Fusheng Tang, Ümit Topaloĝlu, Thomas A. J. Schweiger, Xiaowei Xu, Bryon Adinoff and Xiaowei Xu. Their work appears in journals such as BMC Bioinformatics, Computerized Medical Imaging and Graphics, Mathematical Methods in the Applied Sciences, Clinical Journal of the American Society of Nephrology and IEEE Transactions on Energy Conversion.
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.