Nurettin Acır
- Signal Processing top 5%
- Blind Source Separation Techniques 23
- Speech and Audio Processing 11
- Biometric Identification and Security 2
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 2
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques 20
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- Neural Networks and Applications 8
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- Image and Signal Denoising Methods 4
- Co-authors
- Engin Cemal MengüçCüneyt GüzelіșÖzcan ÖzdamarDanilo P. MandicMustafa KocakulakTülay YıldırımMurat Barut
- Journals
- Neural Computing and Applications (4 papers)IEEE Transactions on Signal Processing (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Nurettin Acır
34 papers receiving 375 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 217
- Cognitive Neuroscience 161
- Computational Mechanics 115
- Cardiology and Cardiovascular Medicine 71
- Human-Computer Interaction 13
Countries citing papers authored by Nurettin Acır
This map shows the geographic impact of Nurettin Acır'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 Nurettin Acır with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nurettin Acır more than expected).
Fields of papers citing papers by Nurettin Acır
This network shows the impact of papers produced by Nurettin Acır. 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 Nurettin Acır. The network helps show where Nurettin Acır may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Nurettin Acır, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 2 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2013 | 8 | |
| 15 | 2013 | 1 | |
| 16 | 2012 | 5 | |
| 17 | 2009 | 2 | |
| 18 | 2007 | 5 | |
| 19 | 2005 | 22 | |
| 20 | 2005 | 67 |
About Nurettin Acır
Nurettin Acır is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 35 papers that have together received 394 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (23 papers), Advanced Adaptive Filtering Techniques (20 papers), Speech and Audio Processing (11 papers), Neural Networks and Applications (8 papers), EEG and Brain-Computer Interfaces (8 papers), Image and Signal Denoising Methods (4 papers), Neural dynamics and brain function (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Signal Processing (217 citations), Cognitive Neuroscience (161 citations), Computational Mechanics (115 citations), Cardiology and Cardiovascular Medicine (71 citations) and Human-Computer Interaction (13 citations). Nurettin Acır has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Engin Cemal Mengüç, Cüneyt Güzelіș, Özcan Özdamar, Danilo P. Mandic, Mustafa Kocakulak, Tülay Yıldırım and Murat Barut. Their work appears in journals such as Neural Computing and Applications, IEEE Transactions on Signal Processing, Expert Systems with Applications, IEICE Transactions on Electronics and Signal Processing.
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.