Emre Uğur

2.0k total citations
72 papers, 1.3k citations indexed

About

Emre Uğur is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emre Uğur has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Control and Systems Engineering, 44 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emre Uğur's work include Robot Manipulation and Learning (42 papers), Reinforcement Learning in Robotics (28 papers) and Action Observation and Synchronization (10 papers). Emre Uğur is often cited by papers focused on Robot Manipulation and Learning (42 papers), Reinforcement Learning in Robotics (28 papers) and Action Observation and Synchronization (10 papers). Emre Uğur collaborates with scholars based in Türkiye, Japan and Austria. Emre Uğur's co-authors include Erol Şahi̇n, Justus Piater, Erhan Öztop, Maya Çakmak, Mehmet R. Doğar, Göktürk Üçoluk, Yukie Nagai, Lorenzo Jamone, José Santos-Victor and Alexandre Bernardino and has published in prestigious journals such as Neural Networks, Neural Computing and Applications and Robotics and Autonomous Systems.

In The Last Decade

Emre Uğur

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emre Uğur Türkiye	19	718	667	289	234	232	72	1.3k
Alexander Stoytchev United States	17	444 0.6×	404 0.6×	255 0.9×	107 0.5×	227 1.0×	41	881
Tadahiro Taniguchi Japan	22	329 0.5×	717 1.1×	388 1.3×	130 0.6×	227 1.0×	177	1.6k
Paul Fitzpatrick United States	15	655 0.9×	366 0.5×	469 1.6×	342 1.5×	310 1.3×	27	1.4k
Vadim Tikhanoff Italy	17	331 0.5×	268 0.4×	192 0.7×	202 0.9×	237 1.0×	40	856
Tetsunari Inamura Japan	18	624 0.9×	389 0.6×	499 1.7×	265 1.1×	116 0.5×	112	1.2k
Monica Nicolescu United States	19	542 0.8×	612 0.9×	653 2.3×	230 1.0×	115 0.5×	102	1.4k
Stefanos Nikolaidis United States	18	429 0.6×	408 0.6×	208 0.7×	454 1.9×	100 0.4×	70	1.2k
Hideki Asoh Japan	21	213 0.3×	548 0.8×	377 1.3×	160 0.7×	181 0.8×	103	1.5k
Kazunori Komatani Japan	22	208 0.3×	787 1.2×	624 2.2×	184 0.8×	178 0.8×	189	2.0k
Cornelius Weber Germany	19	217 0.3×	584 0.9×	457 1.6×	204 0.9×	248 1.1×	93	1.4k

Countries citing papers authored by Emre Uğur

Since Specialization

Citations

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

Fields of papers citing papers by Emre Uğur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Uğur

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

All Works

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20 of 20 papers shown

Uğur, Emre, et al.. (2025). RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion. IEEE Robotics and Automation Letters. 10(4). 3795–3802. 1 indexed citations

Öztop, Erhan, et al.. (2025). Symbolic Manipulation Planning With Discovered Object and Relational Predicates. IEEE Robotics and Automation Letters. 10(2). 1968–1975.

Öztop, Erhan, et al.. (2024). Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers. IEEE Robotics and Automation Letters. 9(2). 1977–1984. 1 indexed citations

Uğur, Emre, et al.. (2024). Unsupervised Meta-Testing With Conditional Neural Processes for Hybrid Meta-Reinforcement Learning. IEEE Robotics and Automation Letters. 9(10). 8427–8434.

Uğur, Emre, et al.. (2024). Multiobject Graph Affordance Network: Goal-Oriented Planning Through Learned Compound Object Affordances. IEEE Transactions on Cognitive and Developmental Systems. 17(4). 847–858.

Uğur, Emre, et al.. (2024). Coupled Conditional Neural Movement Primitives. Neural Computing and Applications. 36(30). 18999–19021.

Uğur, Emre, et al.. (2023). Predictive event segmentation and representation with neural networks: A self-supervised model assessed by psychological experiments. Cognitive Systems Research. 83. 101167–101167. 2 indexed citations

Taniguchi, Tadahiro, Shingo Murata, Masahiro Suzuki, et al.. (2023). World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Advanced Robotics. 37(13). 780–806. 34 indexed citations

Erdem, Aykut, et al.. (2023). Object and Relation Centric Representations for Push Effect Prediction. SSRN Electronic Journal. 1 indexed citations

10.

Uğur, Emre, et al.. (2022). Learning social navigation from demonstrations with conditional neural processes. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 23(3). 427–468. 4 indexed citations

11.

Nagai, Yukie, et al.. (2021). Imitation and mirror systems in robots through Deep Modality Blending Networks. Neural Networks. 146. 22–35. 14 indexed citations

12.

Uğur, Emre, et al.. (2020). Computational Modeling of Object-Directed Action Prediction Development. Pamukkale University Journal of Engineering Sciences. 26(5). 974–982.

13.

Erdem, Aykut, et al.. (2019). Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects.. arXiv (Cornell University). 1 indexed citations

14.

Piater, Justus, et al.. (2019). Conditional Neural Movement Primitives. 27 indexed citations

15.

Uğur, Emre, et al.. (2018). Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems. 54–59. 2 indexed citations

16.

Zech, P, et al.. (2017). Computational models of affordance in robotics: a taxonomy and systematic classification. Adaptive Behavior. 25(5). 235–271. 48 indexed citations

17.

Kroemer, Oliver, Emre Uğur, Erhan Öztop, & Jan Peters. (2012). A kernel-based approach to direct action perception. 2605–2610. 40 indexed citations

18.

Uğur, Emre, Hande Çelikkanat, Erol Şahi̇n, Yukie Nagai, & Erhan Öztop. (2011). Learning to grasp with parental scaffolding. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 480–486. 12 indexed citations

19.

Uğur, Emre, Erol Şahi̇n, & Erhan Öztop. (2011). Unsupervised learning of object affordances for planning in a mobile manipulation platform. 4312–4317. 16 indexed citations

20.

Uğur, Emre, Ali Emre Turgut, & Erol Şahi̇n. (2007). Dispersion of a swarm of robots based on realistic wireless intensity signals. 1–6. 16 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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