Bayram Akdemïr
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Neurology
- Co-authors
- Şaban ÖztürkSalih GüneşNurettin ÇetinkayaKemal PolatAlaa EleyanUmut ÖzkayaSadık KaraLevent Seyfi
- Topics
- AI in cancer detection (8 papers)Digital Imaging for Blood Diseases (5 papers)Face and Expression Recognition (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsThe International Journal of Advanced Manufacturing Technology
- Partner nations
- TürkiyeChinaUnited States
In The Last Decade
Bayram Akdemïr
40 papers receiving 589 citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 202
- Radiology, Nuclear Medicine and Imaging 131
- Electrical and Electronic Engineering 74
- Neurology 56
Countries citing papers authored by Bayram Akdemïr
This map shows the geographic impact of Bayram Akdemïr'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 Bayram Akdemïr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bayram Akdemïr more than expected).
Fields of papers citing papers by Bayram Akdemïr
This network shows the impact of papers produced by Bayram Akdemïr. 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 Bayram Akdemïr. The network helps show where Bayram Akdemïr may publish in the future.
Co-authorship network of co-authors of Bayram Akdemïr
This figure shows the co-authorship network connecting the top 25 collaborators of Bayram Akdemïr. A scholar is included among the top collaborators of Bayram Akdemïr 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 Bayram Akdemïr. Bayram Akdemïr 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 | 1 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 42 | |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 49 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 8 | |
| 20 | 48 |
About Bayram Akdemïr
Bayram Akdemïr is a scholar working on Computer Vision and Pattern Recognition, General Dentistry and Biophysics, having authored 43 papers that have together received 621 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Neurology (56 citations) and Artificial Intelligence (202 citations). Bayram Akdemïr has collaborated with scholars based in Türkiye, China and United States. Frequent co-authors include Şaban Öztürk, Salih Güneş, Nurettin Çetinkaya, Kemal Polat, Alaa Eleyan, Umut Özkaya, Sadık Kara, Levent Seyfi, Bülent Oran and Ahmet Afşin Kulaksız. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and The International Journal of Advanced Manufacturing 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.