Tamer Ölmez
- Cardiology and Cardiovascular Medicine top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Zümray DokurBerat DoğanE. YazganZafer İşcanOkan K. ErsoyMehmet KorürekMehmet SezginMustafa Çetın
- Topics
- Neural Networks and Applications (16 papers)EEG and Brain-Computer Interfaces (15 papers)ECG Monitoring and Analysis (13 papers)
- Partner nations
- TürkiyeUnited States
In The Last Decade
Tamer Ölmez
62 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 408
- Artificial Intelligence 376
- Cognitive Neuroscience 315
- Pulmonary and Respiratory Medicine 303
- Computer Vision and Pattern Recognition 279
Countries citing papers authored by Tamer Ölmez
This map shows the geographic impact of Tamer Ölmez'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 Tamer Ölmez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamer Ölmez more than expected).
Fields of papers citing papers by Tamer Ölmez
This network shows the impact of papers produced by Tamer Ölmez. 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 Tamer Ölmez. The network helps show where Tamer Ölmez may publish in the future.
Co-authorship network of co-authors of Tamer Ölmez
This figure shows the co-authorship network connecting the top 25 collaborators of Tamer Ölmez. A scholar is included among the top collaborators of Tamer Ölmez 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 Tamer Ölmez. Tamer Ölmez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 32 | |
| 6 | Nature inspired algorithm MABC for clustering and classification of ECG heart beats, using time and frequency domain features | 2 |
| 7 | 27 | |
| 8 | Fuzzy Clustering of ECG Beats Using a New Metaheuristic Approach | 2 |
| 9 | Task Related and Spatially Regularized Common Spatial Patterns for Brain Computer Interfaces. | 0 |
| 10 | 10 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 172 | |
| 20 | 2 |
About Tamer Ölmez
Tamer Ölmez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), EEG and Brain-Computer Interfaces (15 papers) and ECG Monitoring and Analysis (13 papers). The work is most often cited by research in Signal Processing (216 citations), Cardiology and Cardiovascular Medicine (408 citations) and Cognitive Neuroscience (315 citations). Tamer Ölmez has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Zümray Dokur, Berat Doğan, E. Yazgan, Zafer İşcan, Okan K. Ersoy, Mehmet Korürek, Mehmet Sezgin, Mustafa Çetın, Yunus Koç and Nerses Bebek. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Sensors.
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.