Tansel Özyer
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- AI in cancer detection 7
- Advanced Clustering Algorithms Research 6
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- Data Mining Algorithms and Applications 10
- Recommender Systems and Techniques 7
- Web Data Mining and Analysis 7
- Co-authors
- Reda Alhajj (66 shared papers)Ken Barker (4 shared papers)Douglas J. Demetrick (3 shared papers)Jon Rokne (11 shared papers)Ming Zhang (1 shared paper)Kashfia Sailunaz (9 shared papers)Faruk Polat (3 shared papers)Mehmet Kayaalp (2 shared papers)
In The Last Decade
Tansel Özyer
80 papers receiving 853 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 386
- Signal Processing 110
- Computer Vision and Pattern Recognition 208
- Information Systems 173
- Statistical and Nonlinear Physics 93
Countries citing papers authored by Tansel Özyer
This map shows the geographic impact of Tansel Özyer'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 Tansel Özyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tansel Özyer more than expected).
Fields of papers citing papers by Tansel Özyer
This network shows the impact of papers produced by Tansel Özyer. 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 Tansel Özyer. The network helps show where Tansel Özyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tansel Özyer, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2005 | 70 | |
| 3 | 2009 | 54 | |
| 4 | 2021 | 40 | |
| 5 | 2017 | 36 | |
| 6 | 2009 | 35 | |
| 7 | 2014 | 33 | |
| 8 | 2014 | 27 | |
| 9 | Integrating Multi-Objective Genetic Algorithm and Validity Analysis for Locating and Ranking Alternative Clustering | 2005 | 25 |
| 10 | 2023 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2016 | 20 | |
| 14 | 2013 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2008 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2023 | 17 | |
| 20 | 2013 | 15 |
About Tansel Özyer
Tansel Özyer is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 86 papers that have together received 904 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (8 papers), Recommender Systems and Techniques (7 papers), AI in cancer detection (7 papers), Web Data Mining and Analysis (7 papers) and Advanced Clustering Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Signal Processing (110 citations), Computer Vision and Pattern Recognition (208 citations), Information Systems (173 citations) and Statistical and Nonlinear Physics (93 citations). Tansel Özyer has collaborated with scholars based in Türkiye, Canada and Lebanon. Frequent co-authors include Reda Alhajj, Ken Barker, Douglas J. Demetrick, Jon Rokne, Ming Zhang, Kashfia Sailunaz, Faruk Polat, Mehmet Kayaalp, Bülent Tavlı and Fazlı Can. Their work appears in journals such as Applied Intelligence, PLoS ONE, Information Sciences, Knowledge-Based Systems and IEEE Access.
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.