Emrah Aydemir
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Şengül DoğanTürker TuncerU. Rajendra AcharyaChui Ping OoiPrabal Datta BaruaMehmet BayğınHui Wen LohRaj Gururajan
- Topics
- EEG and Brain-Computer Interfaces (12 papers)ECG Monitoring and Analysis (7 papers)Machine Learning in Bioinformatics (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
In The Last Decade
Emrah Aydemir
56 papers receiving 485 citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 212
- Cardiology and Cardiovascular Medicine 93
- Artificial Intelligence 92
- Signal Processing 83
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Emrah Aydemir
This map shows the geographic impact of Emrah Aydemir'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 Emrah Aydemir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emrah Aydemir more than expected).
Fields of papers citing papers by Emrah Aydemir
This network shows the impact of papers produced by Emrah Aydemir. 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 Emrah Aydemir. The network helps show where Emrah Aydemir may publish in the future.
Co-authorship network of co-authors of Emrah Aydemir
This figure shows the co-authorship network connecting the top 25 collaborators of Emrah Aydemir. A scholar is included among the top collaborators of Emrah Aydemir 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 Emrah Aydemir. Emrah Aydemir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | AN AUTOMATED GUNSHOT AUDIO CLASSIFICATION METHOD BASED ON FINGER PATTERN FEATURE GENERATOR AND ITERATIVE RELIEFF FEATURE SELECTOR | 6 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Emrah Aydemir
Emrah Aydemir is a scholar working on Signal Processing, Human-Computer Interaction and Computer Science Applications, having authored 65 papers that have together received 497 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), ECG Monitoring and Analysis (7 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Cognitive Neuroscience (212 citations), Signal Processing (83 citations) and Cardiology and Cardiovascular Medicine (93 citations). Emrah Aydemir has collaborated with scholars based in Türkiye, Australia and Singapore. Frequent co-authors include Şengül Doğan, Türker Tuncer, U. Rajendra Acharya, Chui Ping Ooi, Prabal Datta Barua, Türker Tuncer, Mehmet Bayğın, Hui Wen Loh, Raj Gururajan and Fatih Ertam. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.