Stephen James

1.3k total citations
13 papers, 358 citations indexed

About

Stephen James is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Stephen James has authored 13 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Aerospace Engineering. Recurrent topics in Stephen James's work include Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (7 papers) and Robotic Path Planning Algorithms (3 papers). Stephen James is often cited by papers focused on Robot Manipulation and Learning (9 papers), Robotics and Sensor-Based Localization (7 papers) and Robotic Path Planning Algorithms (3 papers). Stephen James collaborates with scholars based in United Kingdom, United States and Belgium. Stephen James's co-authors include Andrew J. Davison, Kentaro Wada, Daniel Lenton, Tristan Laidlow, Michael Bloesch, Pieter Abbeel, Yunhui Liu, Fangchen Liu, Kai Chen and Qi Dou and has published in prestigious journals such as IEEE Robotics and Automation Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Stephen James

13 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen James United Kingdom	9	210	188	133	95	35	13	358
Manuel Wüthrich Germany	9	149 0.7×	120 0.6×	101 0.8×	60 0.6×	46 1.3×	17	269
Rico Jonschkowski Germany	8	233 1.1×	173 0.9×	112 0.8×	125 1.3×	79 2.3×	12	401
Melonee Wise United States	3	175 0.8×	125 0.7×	67 0.5×	67 0.7×	70 2.0×	3	292
Ziyuan Jiao China	11	125 0.6×	143 0.8×	40 0.3×	85 0.9×	62 1.8×	22	278
Ching L. Teo United States	9	156 0.7×	407 2.2×	183 1.4×	59 0.6×	29 0.8×	14	528
Nate Koenig United States	4	92 0.4×	148 0.8×	44 0.3×	57 0.6×	23 0.7×	6	273
Yunrong Guo Canada	8	173 0.8×	186 1.0×	71 0.5×	32 0.3×	67 1.9×	10	334
Mengyuan Yan United States	5	113 0.5×	170 0.9×	42 0.3×	51 0.5×	58 1.7×	10	281
Rogerio Bonatti United States	6	89 0.4×	149 0.8×	147 1.1×	54 0.6×	17 0.5×	12	327
Xinke Deng United States	6	181 0.9×	205 1.1×	36 0.3×	162 1.7×	40 1.1×	6	314

Countries citing papers authored by Stephen James

Since Specialization

Citations

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

Fields of papers citing papers by Stephen James

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen James

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

All Works

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13 of 13 papers shown

Ma, Xiao, et al.. (2024). Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics and Automation Letters. 9(8). 6912–6919. 1 indexed citations

James, Stephen, et al.. (2024). Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning. 4 indexed citations

James, Stephen, et al.. (2024). Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. 18081–18090. 10 indexed citations

Chen, Kai, et al.. (2023). StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. 2855–2861. 12 indexed citations

Wada, Kentaro, Stephen James, & Andrew J. Davison. (2022). ReorientBot: Learning Object Reorientation for Specific-Posed Placement. 2022 International Conference on Robotics and Automation (ICRA). 8252–8258. 17 indexed citations

Lee, Kimin, et al.. (2022). HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. 2022 IEEE International Conference on Image Processing (ICIP). 9 indexed citations

Wada, Kentaro, Stephen James, & Andrew J. Davison. (2022). SafePicking: Learning Safe Object Extraction via Object-Level Mapping. 2022 International Conference on Robotics and Automation (ICRA). 10202–10208. 4 indexed citations

James, Stephen, Kentaro Wada, Tristan Laidlow, & Andrew J. Davison. (2022). Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13729–13738. 36 indexed citations

James, Stephen, et al.. (2021). Waypoint Planning Networks. 87–94. 9 indexed citations

10.

Laidlow, Tristan, et al.. (2021). SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2 indexed citations

11.

Wada, Kentaro, et al.. (2020). MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. 14528–14537. 70 indexed citations

12.

James, Stephen, et al.. (2020). RLBench: The Robot Learning Benchmark & Learning Environment. IEEE Robotics and Automation Letters. 5(2). 3019–3026. 168 indexed citations

13.

James, Stephen, Michael Bloesch, & Andrew J. Davison. (2018). Task-Embedded Control Networks for Few-Shot Imitation Learning. arXiv (Cornell University). 783–795. 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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