Rıza Alp Güler
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Control and Systems Engineering
- Biomedical Engineering
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Iasonas KokkinosGözde ÜnalSibel TarıNatalia NeverovaAndrea VedaldiStefanos ZafeiriouSergey TulyakovAliaksandr Siarohin
- Topics
- Human Pose and Action Recognition (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)Advanced Vision and Imaging (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mechanics
- Journals
- IEEE Transactions on Geoscience and Remote SensingPattern RecognitionSIAM Journal on Imaging Sciences
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Rıza Alp Güler
9 papers receiving 187 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 164
- Computational Mechanics 80
- Control and Systems Engineering 27
- Biomedical Engineering 20
- Computer Graphics and Computer-Aided Design 18
Countries citing papers authored by Rıza Alp Güler
This map shows the geographic impact of Rıza Alp Güler'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 Rıza Alp Güler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rıza Alp Güler more than expected).
Fields of papers citing papers by Rıza Alp Güler
This network shows the impact of papers produced by Rıza Alp Güler. 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 Rıza Alp Güler. The network helps show where Rıza Alp Güler may publish in the future.
Co-authorship network of co-authors of Rıza Alp Güler
This figure shows the co-authorship network connecting the top 25 collaborators of Rıza Alp Güler. A scholar is included among the top collaborators of Rıza Alp Güler 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 Rıza Alp Güler. Rıza Alp Güler 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 18 | |
| 7 | 129 | |
| 8 | 13 | |
| 9 | 5 |
About Rıza Alp Güler
Rıza Alp Güler is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Instrumentation, having authored 9 papers that have together received 189 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Computer Graphics and Computer-Aided Design (18 citations) and Computational Mechanics (80 citations). Rıza Alp Güler has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Iasonas Kokkinos, Gözde Ünal, Sibel Tarı, Natalia Neverova, Andrea Vedaldi, Stefanos Zafeiriou, Sergey Tulyakov, Aliaksandr Siarohin, Igor Gilitschenski and Jian Ren. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and SIAM Journal on Imaging Sciences.
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.