Erdal Başaran
Impact in
- Otorhinolaryngology top 10%
- Ear Surgery and Otitis Media
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Speech and Audio Processing 6
- Music and Audio Processing 2
-
- AI in cancer detection 5
- Co-authors
- Zafer Cömert (9 shared papers)Yüksel Çelik (15 shared papers)Hüseyin Polat (1 shared paper)Ümit Budak (2 shared papers)Abdulkadir Şengür (2 shared papers)Mesut Toğaçar (4 shared papers)Sanjay Goel (1 shared paper)
- Journals
- Electronics (2 papers)Biomedical Signal Processing and Control (2 papers)Multimedia Tools and Applications (1 paper)European Food Research and Technology (1 paper)Applied Acoustics (1 paper)
- Partner nations
- TürkiyeUnited StatesIndia
In The Last Decade
Erdal Başaran
19 papers receiving 320 citations
Peers
Comparison fields: 5 of 70
- Otorhinolaryngology 41
- Signal Processing 66
- Neurology 47
- Artificial Intelligence 129
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Erdal Başaran
This map shows the geographic impact of Erdal Başaran'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 Erdal Başaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erdal Başaran more than expected).
Fields of papers citing papers by Erdal Başaran
This network shows the impact of papers produced by Erdal Başaran. 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 Erdal Başaran. The network helps show where Erdal Başaran may publish in the future.
Co-authors
The 7 scholars most cited alongside Erdal Başaran, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2019 | 61 | |
| 3 | 2022 | 45 | |
| 4 | 2019 | 36 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 25 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 1 | |
| 17 | Determination of Tympanic Membrane Region in the Middle Ear Otoscope Images with Convolutional Neural Network Based YOLO Method | 2019 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Erdal Başaran
Erdal Başaran is a scholar working on Signal Processing, Artificial Intelligence, Plant Science, Surgery and Otorhinolaryngology, having authored 21 papers that have together received 328 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Smart Agriculture and AI (6 papers), AI in cancer detection (5 papers), Nasal Surgery and Airway Studies (4 papers), Ear Surgery and Otitis Media (4 papers), Digital Imaging for Blood Diseases (3 papers), Network Security and Intrusion Detection (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Otorhinolaryngology (41 citations), Signal Processing (66 citations), Neurology (47 citations), Artificial Intelligence (129 citations) and Computer Vision and Pattern Recognition (66 citations). Erdal Başaran has collaborated with scholars based in Türkiye, United States and India. Frequent co-authors include Zafer Cömert, Yüksel Çelik, Hüseyin Polat, Ümit Budak, Abdulkadir Şengür, Mesut Toğaçar and Sanjay Goel. Their work appears in journals such as Electronics, Biomedical Signal Processing and Control, Multimedia Tools and Applications, European Food Research and Technology and Applied Acoustics.
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.