Ekim Yurtsever
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
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- Autonomous Vehicle Technology and Safety 13
- Vehicle Dynamics and Control Systems 2
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- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
- Co-authors
- Kazuya TakedaAlexander CarballoJacob LambertKeith RedmillÜmi̇t ÖzgünerDongfang YangHaolin ZhangGiorgio Rizzoni
- Journals
- IEEE Transactions on Intelligent Vehicles (5 papers)IEEE Access (3 papers)Sensors (2 papers)Disability and Rehabilitation Assistive Technology (1 paper)Cybersecurity (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Ekim Yurtsever
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Automotive Engineering 677
- Computer Vision and Pattern Recognition 667
- Safety, Risk, Reliability and Quality 127
- Artificial Intelligence 314
- Instrumentation 33
Countries citing papers authored by Ekim Yurtsever
This map shows the geographic impact of Ekim Yurtsever'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 Ekim Yurtsever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekim Yurtsever more than expected).
Fields of papers citing papers by Ekim Yurtsever
This network shows the impact of papers produced by Ekim Yurtsever. 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 Ekim Yurtsever. The network helps show where Ekim Yurtsever may publish in the future.
Co-authors
The 25 scholars most cited alongside Ekim Yurtsever, 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 | 2025 | 0 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 29 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 113 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 28 | |
| 17 | 2021 | 109 | |
| 18 | A Survey of Autonomous Driving: Common Practices and Emerging Technologies Hit paper breakdown → | 2020 | 1019 |
| 19 | 2019 | 3 | |
| 20 | Driving Signature Extraction | 2015 | 3 |
About Ekim Yurtsever
Ekim Yurtsever is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Building and Construction, Instrumentation and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (6 papers), Traffic Prediction and Management Techniques (4 papers), Anomaly Detection Techniques and Applications (4 papers), Robotics and Sensor-Based Localization (3 papers), Vehicle Dynamics and Control Systems (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Automotive Engineering (677 citations), Computer Vision and Pattern Recognition (667 citations), Safety, Risk, Reliability and Quality (127 citations), Artificial Intelligence (314 citations) and Instrumentation (33 citations). Ekim Yurtsever has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kazuya Takeda, Alexander Carballo, Jacob Lambert, Keith Redmill, Ümi̇t Özgüner, Dongfang Yang, Haolin Zhang, Giorgio Rizzoni, Alois Knoll and Chiyomi Miyajima. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, IEEE Access, Sensors, Disability and Rehabilitation Assistive Technology and Cybersecurity.
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.