Mete Yağanoğlu
Impact in
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- Artificial Intelligence in Healthcare
- Virology top 10%
- Poxvirus research and outbreaks
Papers in
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- AI in cancer detection 5
- Anomaly Detection Techniques and Applications 2
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- Artificial Intelligence in Healthcare 5
- Co-authors
- Cemal Köse (5 shared papers)Ferhat Bozkurt (7 shared papers)Selçuk Karaman (1 shared paper)Gökhan Öztürk (1 shared paper)Sevilay Özmen (1 shared paper)Časlav Stefanović (1 shared paper)Erdal Irmak (1 shared paper)Nurinnisa Öztürk (1 shared paper)
- Journals
- Multimedia Tools and Applications (3 papers)Applied Sciences (2 papers)Physical and Engineering Sciences in Medicine (1 paper)Sensors (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- TürkiyeKazakhstan
In The Last Decade
Mete Yağanoğlu
32 papers receiving 276 citations
Peers
Comparison fields: 5 of 77
- Health Information Management 36
- Virology 34
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 70
- Human-Computer Interaction 19
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-authors
The 11 scholars most cited alongside Mete Yağanoğlu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2022 | 35 | |
| 3 | 2018 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | EEG TABANLI BEYİN-BİLGİSAYAR ARAYÜZÜ SİSTEMLERİNDE ÖZNİTELİK ÇIKARMA YÖNTEMLERİ | 2014 | 3 |
About Mete Yağanoğlu
Mete Yağanoğlu is a scholar working on Artificial Intelligence, Health Information Management, Signal Processing, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 36 papers that have together received 286 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), AI in cancer detection (5 papers), Obstructive Sleep Apnea Research (4 papers), COVID-19 diagnosis using AI (3 papers), Speech and Audio Processing (3 papers), Digital Imaging for Blood Diseases (2 papers), COVID-19 epidemiological studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Information Management (36 citations), Virology (34 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Human-Computer Interaction (19 citations). Mete Yağanoğlu has collaborated with scholars based in Türkiye and Kazakhstan. Frequent co-authors include Cemal Köse, Ferhat Bozkurt, Selçuk Karaman, Gökhan Öztürk, Sevilay Özmen, Časlav Stefanović, Erdal Irmak, Nurinnisa Öztürk, Rabia Meryem Yılmaz and Gürkan Öztürk. Their work appears in journals such as Multimedia Tools and Applications, Applied Sciences, Physical and Engineering Sciences in Medicine, Sensors and Data & Knowledge Engineering.
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.