Alper Baştürk
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Media Technology top 2%
- Co-authors
- Mehmet Emin YükselDerviş KaraboğaBahriye Akayİshak PaçalAbdullah ÇalışkanHasan BademUfuk NalbantoğluMehmet Eren Yüksel
- Topics
- Image and Signal Denoising Methods (9 papers)AI in cancer detection (9 papers)Neural Networks and Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- TürkiyeUnited StatesSaudi Arabia
In The Last Decade
Alper Baştürk
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 602
- Computer Vision and Pattern Recognition 531
- Radiology, Nuclear Medicine and Imaging 308
- Oncology 178
- Media Technology 151
Countries citing papers authored by Alper Baştürk
This map shows the geographic impact of Alper Baştürk'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 Alper Baştürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alper Baştürk more than expected).
Fields of papers citing papers by Alper Baştürk
This network shows the impact of papers produced by Alper Baştürk. 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 Alper Baştürk. The network helps show where Alper Baştürk may publish in the future.
Co-authorship network of co-authors of Alper Baştürk
This figure shows the co-authorship network connecting the top 25 collaborators of Alper Baştürk. A scholar is included among the top collaborators of Alper Baştürk 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 Alper Baştürk. Alper Baştürk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 3 | |
| 3 | 33 | |
| 4 | 77 | |
| 5 | 25 | |
| 6 | 28 | |
| 7 | 112 | |
| 8 | 0 | |
| 9 | 41 | |
| 10 | 21 | |
| 11 | A comparative study on classification by deep learning | 1 |
| 12 | 11 | |
| 13 | Classification and diagnosis of the parkinson disease by stacked autoencoder | 13 |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 34 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 51 |
About Alper Baştürk
Alper Baştürk is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), AI in cancer detection (9 papers) and Neural Networks and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (531 citations), Artificial Intelligence (602 citations) and Media Technology (151 citations). Alper Baştürk has collaborated with scholars based in Türkiye, United States and Saudi Arabia. Frequent co-authors include Mehmet Emin Yüksel, Derviş Karaboğa, Bahriye Akay, İshak Paçal, Abdullah Çalışkan, Hasan Badem, Ufuk Nalbantoğlu, Mehmet Eren Yüksel, Ahmet Karaman and Özkan Ufuk Nalbantoğlu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.