Ayhan Demiriz
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Kristin P. BennettJohn Shawe‐TaylorPatricia BradleyRichard MaclinGunnar RätschMark J. EmbrechtsNader BagherzadehGürdal Ertek
- Topics
- Consumer Market Behavior and Pricing (7 papers)Data Mining Algorithms and Applications (5 papers)Interconnection Networks and Systems (5 papers)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Ayhan Demiriz
28 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 888
- Computer Vision and Pattern Recognition 550
- Information Systems 168
- Signal Processing 148
- Computer Networks and Communications 114
Countries citing papers authored by Ayhan Demiriz
This map shows the geographic impact of Ayhan Demiriz'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 Ayhan Demiriz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayhan Demiriz more than expected).
Fields of papers citing papers by Ayhan Demiriz
This network shows the impact of papers produced by Ayhan Demiriz. 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 Ayhan Demiriz. The network helps show where Ayhan Demiriz may publish in the future.
Co-authorship network of co-authors of Ayhan Demiriz
This figure shows the co-authorship network connecting the top 25 collaborators of Ayhan Demiriz. A scholar is included among the top collaborators of Ayhan Demiriz 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 Ayhan Demiriz. Ayhan Demiriz 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 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 21 | |
| 14 | 266 | |
| 15 | 18 | |
| 16 | 36 | |
| 17 | A Column Generation Algorithm For Boosting | 28 |
| 18 | Constrained K-Means Clustering | 230 |
| 19 | Learning with capacity control: a semi-supervised approach | 0 |
| 20 | Semi-Supervised Support Vector Machinesbreakdown → | 557 |
About Ayhan Demiriz
Ayhan Demiriz is a scholar working on Marketing, Hardware and Architecture and Signal Processing, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (7 papers), Data Mining Algorithms and Applications (5 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Artificial Intelligence (888 citations), Computer Vision and Pattern Recognition (550 citations) and Signal Processing (148 citations). Ayhan Demiriz has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Kristin P. Bennett, John Shawe‐Taylor, Patricia Bradley, Richard Maclin, Gunnar Rätsch, Mark J. Embrechts, Nader Bagherzadeh, Gürdal Ertek and Özcan Öztürk. Their work appears in journals such as Machine Learning, Decision Support Systems and Journal of Intelligent Manufacturing.
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.