Ramazan Teki̇n
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Yılmaz KayaÖmer Faruk ErtuğrulSelçuk YıldırımMurat UyarSerhat DemirhanM. Emin TağlukAbdullah MuratoğluMelih Kuncan
- Topics
- EEG and Brain-Computer Interfaces (8 papers)Machine Learning and ELM (5 papers)Neural Networks and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaConstruction and Building MaterialsExpert Systems with Applications
- Partner nations
- Türkiye
In The Last Decade
Ramazan Teki̇n
29 papers receiving 640 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 237
- Signal Processing 184
- Computer Vision and Pattern Recognition 138
- Artificial Intelligence 118
- Biomedical Engineering 109
Countries citing papers authored by Ramazan Teki̇n
This map shows the geographic impact of Ramazan Teki̇n'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 Ramazan Teki̇n with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramazan Teki̇n more than expected).
Fields of papers citing papers by Ramazan Teki̇n
This network shows the impact of papers produced by Ramazan Teki̇n. 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 Ramazan Teki̇n. The network helps show where Ramazan Teki̇n may publish in the future.
Co-authorship network of co-authors of Ramazan Teki̇n
This figure shows the co-authorship network connecting the top 25 collaborators of Ramazan Teki̇n. A scholar is included among the top collaborators of Ramazan Teki̇n 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 Ramazan Teki̇n. Ramazan Teki̇n 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 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 32 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 29 | |
| 14 | 242 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | Epileptik Nöbetlerin Tespiti için Aşırı Öğrenme Makinesi Tabanlı Uzman Bir Sistem | 3 |
| 20 | 1 |
About Ramazan Teki̇n
Ramazan Teki̇n is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 32 papers that have together received 664 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Machine Learning and ELM (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Signal Processing (184 citations), Cognitive Neuroscience (237 citations) and Computer Vision and Pattern Recognition (138 citations). Ramazan Teki̇n has collaborated with scholars based in Türkiye. Frequent co-authors include Yılmaz Kaya, Ömer Faruk Ertuğrul, Selçuk Yıldırım, Murat Uyar, Yılmaz Kaya, Serhat Demirhan, M. Emin Tağluk, Abdullah Muratoğlu, Melih Kuncan and Murat Karabatak. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Expert Systems with Applications.
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.