Yeşim Eroğlu
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Otorhinolaryngology top 10%
- Ear Surgery and Otitis Media
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
-
- AI in cancer detection 4
- Machine Learning and ELM 2
- Co-authors
- Muhammed Yıldırım (11 shared papers)Ahmet Çınar (10 shared papers)Emine Cengil (3 shared papers)Kadir Yıldırım (1 shared paper)Turgut Karlıdağ (2 shared papers)Hanefi Yıldırım (2 shared papers)Erol Keleş (2 shared papers)İrfan Kaygusuz (2 shared papers)
- Journals
- Abdominal Radiology (1 paper)Multimedia Tools and Applications (1 paper)American Journal of Otolaryngology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)International Journal of Imaging Systems and Technology (1 paper)
- Partner nations
- TürkiyeUnited StatesChina
In The Last Decade
Yeşim Eroğlu
20 papers receiving 357 citations
Peers
Comparison fields: 5 of 80
- Neurology 75
- Otorhinolaryngology 22
- Radiology, Nuclear Medicine and Imaging 115
- Health Informatics 5
- Artificial Intelligence 122
Countries citing papers authored by Yeşim Eroğlu
This map shows the geographic impact of Yeşim Eroğlu'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 Yeşim Eroğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeşim Eroğlu more than expected).
Fields of papers citing papers by Yeşim Eroğlu
This network shows the impact of papers produced by Yeşim Eroğlu. 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 Yeşim Eroğlu. The network helps show where Yeşim Eroğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeşim Eroğlu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 101 | |
| 2 | 2021 | 49 | |
| 3 | 2021 | 44 | |
| 4 | 2021 | 25 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2017 | 12 | |
| 9 | 1995 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Yeşim Eroğlu
Yeşim Eroğlu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology, Surgery and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 362 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Machine Learning and ELM (2 papers), Advanced Neural Network Applications (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Ear Surgery and Otitis Media (2 papers). The work is most often cited by research in Neurology (75 citations), Otorhinolaryngology (22 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Health Informatics (5 citations) and Artificial Intelligence (122 citations). Yeşim Eroğlu has collaborated with scholars based in Türkiye, United States and China. Frequent co-authors include Muhammed Yıldırım, Ahmet Çınar, Emine Cengil, Kadir Yıldırım, Turgut Karlıdağ, Hanefi Yıldırım, Erol Keleş, İrfan Kaygusuz, Abdurrahman Şahin and Hakan Artaş. Their work appears in journals such as Abdominal Radiology, Multimedia Tools and Applications, American Journal of Otolaryngology, Computer Methods and Programs in Biomedicine and International Journal of Imaging Systems and Technology.
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.