Süreyya Akyüz
Impact in
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- Advanced Optimization Algorithms Research
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- Neural Networks and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
Papers in
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- Neural Networks and Applications 5
- Anomaly Detection Techniques and Applications 3
- Machine Learning and Data Classification 3
- Data Stream Mining Techniques 3
- Advanced Clustering Algorithms Research 2
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- Face and Expression Recognition 6
- Co-authors
- Gerhard‐Wilhelm Weber (10 shared papers)Birsen Eygi Erdoğan (3 shared papers)Terry Windeatt (1 shared paper)Erik Kropat (1 shared paper)Pakize Taylan (1 shared paper)Christoph M. Friedrich (1 shared paper)Yeşim Aydın Son (1 shared paper)Semih Kuter (1 shared paper)
- Journals
- Information Sciences (2 papers)Machine Learning (2 papers)IEEE Transactions on Fuzzy Systems (1 paper)Neural Networks (1 paper)Top (1 paper)
- Partner nations
- TürkiyeGermanyUnited Kingdom
In The Last Decade
Süreyya Akyüz
27 papers receiving 211 citations
Peers
Comparison fields: 5 of 85
- Numerical Analysis 14
- Artificial Intelligence 80
- Management Science and Operations Research 25
- Computational Theory and Mathematics 18
- Management Information Systems 9
Countries citing papers authored by Süreyya Akyüz
This map shows the geographic impact of Süreyya Akyüz'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 Süreyya Akyüz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Süreyya Akyüz more than expected).
Fields of papers citing papers by Süreyya Akyüz
This network shows the impact of papers produced by Süreyya Akyüz. 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 Süreyya Akyüz. The network helps show where Süreyya Akyüz may publish in the future.
Co-authors
The 24 scholars most cited alongside Süreyya Akyüz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 25 | |
| 2 | 2008 | 22 | |
| 3 | 2014 | 22 | |
| 4 | 2023 | 16 | |
| 5 | 2009 | 16 | |
| 6 | 2011 | 15 | |
| 7 | 2010 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2008 | 8 | |
| 13 | Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009 | 2009 | 5 |
| 14 | 2020 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Süreyya Akyüz
Süreyya Akyüz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Cognitive Neuroscience and Control and Systems Engineering, having authored 30 papers that have together received 217 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Neural Networks and Applications (5 papers), Anomaly Detection Techniques and Applications (3 papers), Machine Learning and Data Classification (3 papers), Data Stream Mining Techniques (3 papers), Advanced Clustering Algorithms Research (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Financial Distress and Bankruptcy Prediction (2 papers). The work is most often cited by research in Numerical Analysis (14 citations), Artificial Intelligence (80 citations), Management Science and Operations Research (25 citations), Computational Theory and Mathematics (18 citations) and Management Information Systems (9 citations). Süreyya Akyüz has collaborated with scholars based in Türkiye, Germany and United Kingdom. Frequent co-authors include Gerhard‐Wilhelm Weber, Birsen Eygi Erdoğan, Terry Windeatt, Erik Kropat, Pakize Taylan, Christoph M. Friedrich, Yeşim Aydın Son, Semih Kuter, Zümrüt B. Ögel and John Shawe‐Taylor. Their work appears in journals such as Information Sciences, Machine Learning, IEEE Transactions on Fuzzy Systems, Neural Networks and Top.
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.