Özgür Erkent

615 total citations
26 papers, 278 citations indexed

About

Özgür Erkent is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Özgür Erkent has authored 26 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Özgür Erkent's work include Robotics and Sensor-Based Localization (12 papers), Robot Manipulation and Learning (7 papers) and Autonomous Vehicle Technology and Safety (6 papers). Özgür Erkent is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Robot Manipulation and Learning (7 papers) and Autonomous Vehicle Technology and Safety (6 papers). Özgür Erkent collaborates with scholars based in Türkiye, Austria and France. Özgür Erkent's co-authors include Christian Laugier, Anshul Paigwar, Justus Piater, H. Işıl Bozma, Christian Wolf, Hakan Karaoğuz, David González, Kerstin Fischer, Wenqian Liu and Rudolf Lioutikov and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Özgür Erkent

26 papers receiving 267 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Özgür Erkent Türkiye 9 161 105 53 43 40 26 278
Jason Ziglar United States 6 158 1.0× 98 0.9× 63 1.2× 40 0.9× 73 1.8× 11 269
Zdeněk Materna Czechia 8 153 1.0× 116 1.1× 66 1.2× 55 1.3× 13 0.3× 17 287
Kibaek Park South Korea 7 259 1.6× 126 1.2× 31 0.6× 15 0.3× 90 2.3× 10 382
Shiliang Shao China 9 171 1.1× 169 1.6× 34 0.6× 73 1.7× 18 0.5× 30 339
Diego Rodríguez Germany 7 151 0.9× 111 1.1× 26 0.5× 51 1.2× 10 0.3× 15 305
Ralf Kaestner Switzerland 4 168 1.0× 133 1.3× 50 0.9× 25 0.6× 25 0.6× 6 283
Lianqing Zheng China 9 152 0.9× 199 1.9× 46 0.9× 12 0.3× 37 0.9× 15 332
Jae Shin Yoon United States 8 330 2.0× 119 1.1× 40 0.8× 27 0.6× 78 1.9× 16 424
Yasutomo Kawanishi Japan 9 236 1.5× 40 0.4× 27 0.5× 14 0.3× 37 0.9× 93 355
Julian Ryde United States 10 191 1.2× 209 2.0× 56 1.1× 52 1.2× 17 0.4× 25 355

Countries citing papers authored by Özgür Erkent

Since Specialization
Citations

This map shows the geographic impact of Özgür Erkent'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 Özgür Erkent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özgür Erkent more than expected).

Fields of papers citing papers by Özgür Erkent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Özgür Erkent. 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 Özgür Erkent. The network helps show where Özgür Erkent may publish in the future.

Co-authorship network of co-authors of Özgür Erkent

This figure shows the co-authorship network connecting the top 25 collaborators of Özgür Erkent. A scholar is included among the top collaborators of Özgür Erkent 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 Özgür Erkent. Özgür Erkent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paigwar, Anshul, et al.. (2022). MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3657–3664. 4 indexed citations
2.
Erkent, Özgür, et al.. (2021). YOLO-based Panoptic Segmentation Network. HAL (Le Centre pour la Communication Scientifique Directe). 1230–1234. 4 indexed citations
3.
Paigwar, Anshul, et al.. (2020). GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles. HAL (Le Centre pour la Communication Scientifique Directe). 2150–2156. 53 indexed citations
4.
Erkent, Özgür & Christian Laugier. (2020). Semantic Segmentation With Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles. IEEE Robotics and Automation Letters. 5(2). 3580–3587. 25 indexed citations
5.
Erkent, Özgür, Christian Wolf, & Christian Laugier. (2019). End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids. Unmanned Systems. 7(3). 171–181. 7 indexed citations
6.
Erkent, Özgür, Christian Wolf, & Christian Laugier. (2018). Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks. 1051–1056. 3 indexed citations
7.
Erkent, Özgür, et al.. (2018). Learning Semantics of Gestural Instructions for Human-Robot Collaboration. Frontiers in Neurorobotics. 12. 7–7. 14 indexed citations
8.
Erkent, Özgür, et al.. (2018). Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach. ORCA Online Research @Cardiff (Cardiff University). 888–895. 22 indexed citations
9.
Erkent, Özgür, et al.. (2017). Proactive, incremental learning of gesture-action associations for human-robot collaboration. 346–353. 5 indexed citations
10.
Erkent, Özgür, et al.. (2017). Visual task outcome verification using deep learning. 4821–4827. 1 indexed citations
11.
Erkent, Özgür, et al.. (2017). Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration. 6. 778–783. 3 indexed citations
12.
Erkent, Özgür, Hakan Karaoğuz, & H. Işıl Bozma. (2017). Hierarchically self-organizing visual place memory. Advanced Robotics. 31(16). 865–879. 4 indexed citations
13.
Erkent, Özgür, et al.. (2016). A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios. 1084–1091. 16 indexed citations
14.
Lopes, Manuel, Jan Peters, Justus Piater, et al.. (2015). Semi-Autonomous 3rd-Hand Robot. MPG.PuRe (Max Planck Society). 1 indexed citations
15.
Erkent, Özgür & H. Işıl Bozma. (2015). Long-term topological place learning. 5462–5467. 7 indexed citations
16.
Erkent, Özgür, et al.. (2015). Probabilistic Detection of Pointing Directions for Human-Robot Interaction. 1–8. 22 indexed citations
17.
Karaoğuz, Hakan, Özgür Erkent, & H. Işıl Bozma. (2014). RGB-D based place representation in topological maps. Machine Vision and Applications. 25(8). 1913–1927. 7 indexed citations
18.
Erkent, Özgür, et al.. (2012). Place representation in topological maps based on bubble space. 3497–3502. 9 indexed citations
19.
Karaoğuz, Hakan, et al.. (2012). Tek Robottan Çoklu Robotlara Ortam Haritalama. DergiPark (Istanbul University). 1 indexed citations
20.
Erkent, Özgür, et al.. (2006). Saccades and Fixating Using Artificial Potential Functions. 13. 5819–5824. 1 indexed citations

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.

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