Pınar Öztürk
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Information Systems
- Control and Systems Engineering
- Co-authors
- Agnar AamodtHelge LangsethErwin MarsiOdd Erik GundersenXin TongMurat V. ArdelanEirik ÅrsandCeyhun Karpuz
- Topics
- AI-based Problem Solving and Planning (7 papers)Semantic Web and Ontologies (7 papers)Biomedical Text Mining and Ontologies (3 papers)
In The Last Decade
Pınar Öztürk
26 papers receiving 172 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 79
- Electrical and Electronic Engineering 65
- Computer Vision and Pattern Recognition 36
- Information Systems 24
- Control and Systems Engineering 16
Countries citing papers authored by Pınar Öztürk
This map shows the geographic impact of Pınar Öztürk'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 Pınar Öztürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pınar Öztürk more than expected).
Fields of papers citing papers by Pınar Öztürk
This network shows the impact of papers produced by Pınar Öztürk. 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 Pınar Öztürk. The network helps show where Pınar Öztürk may publish in the future.
Co-authorship network of co-authors of Pınar Öztürk
This figure shows the co-authorship network connecting the top 25 collaborators of Pınar Öztürk. A scholar is included among the top collaborators of Pınar Öztürk 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 Pınar Öztürk. Pınar Öztürk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Bir Çevrimiçi Öğrenme Ortamının, Yetişkinlerin Çevrimiçi Öz-Yeterlik Algısı Ve Akademik Başarılarına Etkisi | 1 |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 60 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | Lezbiyenlerde içselleştirilmiş homofobi ölçeğinin psikometrik özelliklerinin incelenmesi | 2 |
| 14 | 0 | |
| 15 | Optimization of microstrip dual mode resonator filter structure modeling using artificial neural network applications | 1 |
| 16 | 1 | |
| 17 | Towards a Model of Context for Case-Based Diagnostic Problem Solving | 19 |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 29 |
About Pınar Öztürk
Pınar Öztürk is a scholar working on Artificial Intelligence, Family Practice and Physical Therapy, Sports Therapy and Rehabilitation, having authored 28 papers that have together received 192 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Semantic Web and Ontologies (7 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (79 citations), Computer Vision and Pattern Recognition (36 citations) and Medical Laboratory Technology (2 citations). Pınar Öztürk has collaborated with scholars based in Norway, Türkiye and Romania. Frequent co-authors include Agnar Aamodt, Helge Langseth, Erwin Marsi, Odd Erik Gundersen, Xin Tong, Murat V. Ardelan, Eirik Årsand, Ceyhun Karpuz, Gunnar Hartvigsen and Astrid Grøttland. Their work appears in journals such as IEEE Access, IEEE Transactions on Smart Grid and International Journal of Human-Computer Studies.
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.