Nazım Kemal Üre
- Aerospace Engineering top 5%
- Guidance and Control Systems 16
- Aerospace and Aviation Technology 10
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- Adaptive Control of Nonlinear Systems 11
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 8
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- Robotic Path Planning Algorithms 16
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- Reinforcement Learning in Robotics 18
- Target Tracking and Data Fusion in Sensor Networks 7
- Bayesian Modeling and Causal Inference 7
- Co-authors
- Jonathan P. HowGökhan İnalhanJohn VianGirish ChowdharyMark CutlerMatthew A. VavrinaBernard MichiniEmre Koyuncu
- Journals
- IEEE Transactions on Automatic Control (1 paper)Expert Systems with Applications (1 paper)IEEE Access (2 papers)
- Partner nations
- TürkiyeUnited StatesAustria
In The Last Decade
Nazım Kemal Üre
68 papers receiving 965 citations
Peers
Comparison fields: 5 of 72
- Aerospace Engineering 417
- Control and Systems Engineering 385
- Automotive Engineering 185
- Computer Vision and Pattern Recognition 268
- Computer Networks and Communications 158
Countries citing papers authored by Nazım Kemal Üre
This map shows the geographic impact of Nazım Kemal Üre'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 Nazım Kemal Üre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nazım Kemal Üre more than expected).
Fields of papers citing papers by Nazım Kemal Üre
This network shows the impact of papers produced by Nazım Kemal Üre. 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 Nazım Kemal Üre. The network helps show where Nazım Kemal Üre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nazım Kemal Üre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 34 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 69 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 0 | |
| 16 | 2018 | 4 | |
| 17 | MAR-CPS: Measurable Augmented Reality for Prototyping Cyber-Physical Systems | 2015 | 9 |
| 18 | 2014 | 114 | |
| 19 | 2012 | 6 | |
| 20 | 2011 | 94 |
About Nazım Kemal Üre
Nazım Kemal Üre is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (18 papers), Guidance and Control Systems (16 papers), Robotic Path Planning Algorithms (16 papers), Adaptive Control of Nonlinear Systems (11 papers), Aerospace and Aviation Technology (10 papers), Autonomous Vehicle Technology and Safety (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Bayesian Modeling and Causal Inference (7 papers). The work is most often cited by research in Aerospace Engineering (417 citations), Control and Systems Engineering (385 citations) and Automotive Engineering (185 citations). Nazım Kemal Üre has collaborated with scholars based in Türkiye, United States and Austria. Frequent co-authors include Jonathan P. How, Gökhan İnalhan, John Vian, Girish Chowdhary, Mark Cutler, Matthew A. Vavrina, Bernard Michini, Emre Koyuncu, Uğur Yavaş and Ali Alizadeh. Their work appears in journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications 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.