Mete Yağanoğlu
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Health Information Management top 5%
- Cognitive Neuroscience
- Co-authors
- Cemal KöseFerhat BozkurtErdal IrmakSelçuk KaramanGökhan ÖztürkSevilay ÖzmenGül TokdemirStefan Panić
- Topics
- Artificial Intelligence in Healthcare (5 papers)AI in cancer detection (5 papers)Obstructive Sleep Apnea Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsApplied Sciences
- Partner nations
- Türkiye
In The Last Decade
Mete Yağanoğlu
32 papers receiving 242 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 79
- Radiology, Nuclear Medicine and Imaging 68
- Computer Vision and Pattern Recognition 48
- Health Information Management 31
- Cognitive Neuroscience 31
Countries citing papers authored by Mete Yağanoğlu
This map shows the geographic impact of Mete Yağanoğlu'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 Mete Yağanoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mete Yağanoğlu more than expected).
Fields of papers citing papers by Mete Yağanoğlu
This network shows the impact of papers produced by Mete Yağanoğlu. 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 Mete Yağanoğlu. The network helps show where Mete Yağanoğlu may publish in the future.
Co-authorship network of co-authors of Mete Yağanoğlu
This figure shows the co-authorship network connecting the top 25 collaborators of Mete Yağanoğlu. A scholar is included among the top collaborators of Mete Yağanoğlu 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 Mete Yağanoğlu. Mete Yağanoğlu 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 36 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Veri Bilimi Uygulamalarının Hastalık Teşhisinde Kullanılması: Kalp Krizi Örneği | 2 |
| 17 | 25 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | EEG TABANLI BEYİN-BİLGİSAYAR ARAYÜZÜ SİSTEMLERİNDE ÖZNİTELİK ÇIKARMA YÖNTEMLERİ | 3 |
About Mete Yağanoğlu
Mete Yağanoğlu is a scholar working on Health Information Management, Health Informatics and Human-Computer Interaction, having authored 35 papers that have together received 252 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (5 papers) and Obstructive Sleep Apnea Research (4 papers). The work is most often cited by research in Health Information Management (31 citations), Virology (30 citations) and Health Informatics (8 citations). Mete Yağanoğlu has collaborated with scholars based in Türkiye. Frequent co-authors include Cemal Köse, Ferhat Bozkurt, Erdal Irmak, Selçuk Karaman, Gökhan Öztürk, Sevilay Özmen, Gül Tokdemir, Stefan Panić, Časlav Stefanović and Gürkan Öztürk. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.
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.