Erdem Bıyık

760 total citations
22 papers, 199 citations indexed

About

Erdem Bıyık is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erdem Bıyık has authored 22 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erdem Bıyık's work include Reinforcement Learning in Robotics (9 papers), Machine Learning and Algorithms (3 papers) and Robot Manipulation and Learning (3 papers). Erdem Bıyık is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Machine Learning and Algorithms (3 papers) and Robot Manipulation and Learning (3 papers). Erdem Bıyık collaborates with scholars based in United States, France and Türkiye. Erdem Bıyık's co-authors include Dorsa Sadigh, Mykel J. Kochenderfer, Tolga Çukur, Guy Rosman, Zhangjie Cao, Adrien Gaidon, Lütfi Kerem Şenel, İlkay Yıldız, Mukesh Singhal and Anca D. Dragan and has published in prestigious journals such as Magnetic Resonance in Medicine, The International Journal of Robotics Research and NMR in Biomedicine.

In The Last Decade

Erdem Bıyık

17 papers receiving 194 citations

Peers

Erdem Bıyık
Peng Cao China
Xiaoyu Bie France
Baoliang Chen Hong Kong
Shuijing Liu United States
Linxi Fan United States
Wenhao Li China
Peng Cao China
Erdem Bıyık
Citations per year, relative to Erdem Bıyık Erdem Bıyık (= 1×) peers Peng Cao

Countries citing papers authored by Erdem Bıyık

Since Specialization
Citations

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

Fields of papers citing papers by Erdem Bıyık

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdem Bıyık

This figure shows the co-authorship network connecting the top 25 collaborators of Erdem Bıyık. A scholar is included among the top collaborators of Erdem Bıyık 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 Erdem Bıyık. Erdem Bıyık 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.
Cheng, An-Chieh, Xueyan Zou, Jan Kautz, et al.. (2025). NaVILA: Legged Robot Vision-Language-Action Model for Navigation. 2 indexed citations
2.
Baraka, Kim, Erdem Bıyık, Serena Booth, et al.. (2025). Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. ACM Transactions on Human-Robot Interaction. 15(2). 1–31.
4.
Bıyık, Erdem. (2025). Efficient Robot Learning via Interaction with Humans. Proceedings of the AAAI Conference on Artificial Intelligence. 39(27). 28700–28700.
5.
Bıyık, Erdem, et al.. (2024). Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree. 21910–21917.
6.
Russell, Stuart, et al.. (2024). A Generalized Acquisition Function for Preference-based Reward Learning. 2814–2821. 3 indexed citations
7.
Thomason, Jesse, et al.. (2024). ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. 2907–2912. 2 indexed citations
8.
Bıyık, Erdem, Nima Anari, & Dorsa Sadigh. (2024). Batch Active Learning of Reward Functions from Human Preferences. ACM Transactions on Human-Robot Interaction. 13(2). 1–27. 2 indexed citations
9.
Bıyık, Erdem, et al.. (2023). Active preference-based Gaussian process regression for reward learning and optimization. The International Journal of Robotics Research. 43(5). 665–684. 14 indexed citations
10.
Cao, Zhangjie, Erdem Bıyık, Guy Rosman, & Dorsa Sadigh. (2022). Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. 2022 International Conference on Robotics and Automation (ICRA). 10723–10730. 5 indexed citations
11.
Bıyık, Erdem. (2022). Learning from Humans for Adaptive Interaction. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 1152–1154.
12.
Bıyık, Erdem, et al.. (2022). Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9296–9303. 2 indexed citations
13.
Bıyık, Erdem, et al.. (2021). Learning Multimodal Rewards from Rankings. arXiv (Cornell University). 1 indexed citations
14.
Bıyık, Erdem, et al.. (2020). Factorized sensitivity estimation for artifact suppression in phase‐cycled bSSFP MRI. NMR in Biomedicine. 33(4). e4228–e4228. 5 indexed citations
15.
16.
Bıyık, Erdem, et al.. (2020). Active Preference-Based Gaussian Process Regression for Reward Learning. 34 indexed citations
17.
Bıyık, Erdem, et al.. (2019). Active Learning of Reward Dynamics from Hierarchical Queries. 120–127. 14 indexed citations
18.
Bıyık, Erdem, et al.. (2017). Reconstruction by calibration over tensors for multi‐coil multi‐acquisition balanced SSFP imaging. Magnetic Resonance in Medicine. 79(5). 2542–2554. 12 indexed citations
19.
Bıyık, Erdem, et al.. (2017). Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos. Bilkent University Institutional Repository (Bilkent University). 945–950. 24 indexed citations
20.
Şenel, Lütfi Kerem, et al.. (2016). Profile‐encoding reconstruction for multiple‐acquisition balanced steady‐state free precession imaging. Magnetic Resonance in Medicine. 78(4). 1316–1329. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026