Mustafa Ünel
- Aerospace Engineering top 2%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Kaan Taha ÖnerErtuğrul ÇetinsoyCevdet HançerEfe SırımoğluMahmut Faruk AkşitW. WolovichKayhan GülezYıldıray Yıldız
- Topics
- Adaptive Control of Nonlinear Systems (23 papers)Robotics and Sensor-Based Localization (18 papers)Advanced Vision and Imaging (16 papers)
- Cited by
- Control and Systems EngineeringAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSensorsInternational Journal of Computer Vision
- Partner nations
- TürkiyeUnited StatesNetherlands
In The Last Decade
Mustafa Ünel
99 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Aerospace Engineering 498
- Control and Systems Engineering 494
- Computer Vision and Pattern Recognition 363
- Computational Mechanics 135
- Computer Networks and Communications 122
Countries citing papers authored by Mustafa Ünel
This map shows the geographic impact of Mustafa Ünel'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 Mustafa Ünel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustafa Ünel more than expected).
Fields of papers citing papers by Mustafa Ünel
This network shows the impact of papers produced by Mustafa Ünel. 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 Mustafa Ünel. The network helps show where Mustafa Ünel may publish in the future.
Co-authorship network of co-authors of Mustafa Ünel
This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Ünel. A scholar is included among the top collaborators of Mustafa Ünel 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 Mustafa Ünel. Mustafa Ünel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 38 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | Vision-based system identification and state estimation. | 2 |
About Mustafa Ünel
Mustafa Ünel is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 107 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (23 papers), Robotics and Sensor-Based Localization (18 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Control and Systems Engineering (494 citations), Aerospace Engineering (498 citations) and Computer Vision and Pattern Recognition (363 citations). Mustafa Ünel has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include Kaan Taha Öner, Ertuğrul Çetinsoy, Cevdet Hançer, Efe Sırımoğlu, Mahmut Faruk Akşit, W. Wolovich, Kayhan Gülez, Yıldıray Yıldız, Lütfi Taner Tunç and Alper Yıldırım. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and International Journal of Computer Vision.
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.