Stephen J. Guy

5.7k total citations · 2 hit papers
61 papers, 2.6k citations indexed

About

Stephen J. Guy is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Control and Systems Engineering. According to data from OpenAlex, Stephen J. Guy has authored 61 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 31 papers in Ocean Engineering and 21 papers in Control and Systems Engineering. Recurrent topics in Stephen J. Guy's work include Evacuation and Crowd Dynamics (31 papers), Robotic Path Planning Algorithms (24 papers) and Human Motion and Animation (12 papers). Stephen J. Guy is often cited by papers focused on Evacuation and Crowd Dynamics (31 papers), Robotic Path Planning Algorithms (24 papers) and Human Motion and Animation (12 papers). Stephen J. Guy collaborates with scholars based in United States, France and United Kingdom. Stephen J. Guy's co-authors include Dinesh Manocha, Ming C. Lin, Jur van den Berg, Jamie Snape, Ioannis Karamouzas, Brian Skinner, Sujeong Kim, Pradeep Dubey, Jatin Chhugani and Sean Curtis and has published in prestigious journals such as Physical Review Letters, PLoS ONE and ACM Transactions on Graphics.

In The Last Decade

Stephen J. Guy

59 papers receiving 2.5k citations

Hit Papers

The Hybrid Reciprocal Velocity Obstacle 2011 2026 2016 2021 2011 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen J. Guy United States 25 1.5k 1.4k 893 467 431 61 2.6k
Yiorgos Chrysanthou Cyprus 24 1.5k 1.0× 560 0.4× 748 0.8× 362 0.8× 96 0.2× 82 2.5k
Kai O. Arras Germany 31 2.5k 1.6× 389 0.3× 583 0.7× 836 1.8× 1.2k 2.7× 90 3.5k
Mubbasir Kapadia United States 26 1.0k 0.6× 950 0.7× 786 0.9× 492 1.1× 55 0.1× 149 2.0k
Dirk Wollherr Germany 33 1.2k 0.8× 197 0.1× 1.2k 1.3× 682 1.5× 684 1.6× 183 3.4k
Alexandros Mouzakitis United Kingdom 16 512 0.3× 125 0.1× 759 0.8× 339 0.7× 312 0.7× 41 2.4k
Soraia Raupp Musse Brazil 20 1.1k 0.7× 981 0.7× 625 0.7× 516 1.1× 31 0.1× 141 2.0k
Zhenjiang Li China 30 517 0.3× 309 0.2× 291 0.3× 344 0.7× 204 0.5× 130 3.3k
David Fernández Llorca Spain 31 1.4k 0.9× 181 0.1× 293 0.3× 379 0.8× 363 0.8× 120 2.9k
Martin Lauer Germany 22 938 0.6× 101 0.1× 278 0.3× 339 0.7× 635 1.5× 96 2.2k
Thomas Bräunl Australia 26 656 0.4× 159 0.1× 404 0.5× 217 0.5× 326 0.8× 129 2.3k

Countries citing papers authored by Stephen J. Guy

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen J. Guy

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Guy. A scholar is included among the top collaborators of Stephen J. Guy 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 J. Guy. Stephen J. Guy 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.
Guy, Stephen J., et al.. (2024). Characterization of bilateral reaching development using augmented reality games. Human Movement Science. 96. 103254–103254.
2.
Helwig, Nathaniel E., et al.. (2017). Dynamic properties of successful smiles. PLoS ONE. 12(6). e0179708–e0179708. 28 indexed citations
3.
Kartal, Bilal, et al.. (2016). Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 58–64. 6 indexed citations
4.
Karamouzas, Ioannis, et al.. (2016). Moving in a crowd: safe and efficient navigation among heterogeneous agents. International Joint Conference on Artificial Intelligence. 294–300. 8 indexed citations
5.
Kartal, Bilal, et al.. (2016). Generating Sokoban Puzzle Game Levels with Monte Carlo Tree Search. University of Minnesota Digital Conservancy (University of Minnesota). 3 indexed citations
6.
Karamouzas, Ioannis, et al.. (2016). Implicit Coordination in Crowded Multi-Agent Navigation. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 28 indexed citations
7.
Karamouzas, Ioannis, et al.. (2015). Adaptive Learning for Multi-Agent Navigation. Adaptive Agents and Multi-Agents Systems. 1577–1585. 14 indexed citations
8.
Skinner, Brian & Stephen J. Guy. (2015). A Method for Using Player Tracking Data in Basketball to Learn Player Skills and Predict Team Performance. PLoS ONE. 10(9). e0136393–e0136393. 23 indexed citations
9.
Kartal, Bilal, et al.. (2014). User-driven narrative variation in large story domains using monte carlo tree search. Adaptive Agents and Multi-Agents Systems. 69–76. 19 indexed citations
10.
Karamouzas, Ioannis, Brian Skinner, & Stephen J. Guy. (2014). Universal Power Law Governing Pedestrian Interactions. Physical Review Letters. 113(23). 238701–238701. 240 indexed citations breakdown →
11.
Guy, Stephen J., et al.. (2014). Parameter estimation and comparative evaluation of crowd simulations. Computer Graphics Forum. 33(2). 303–312. 114 indexed citations
12.
Kartal, Bilal, et al.. (2013). Generating Believable Stories in Large Domains. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(4). 30–36. 4 indexed citations
13.
Snape, Jamie, Stephen J. Guy, Ming C. Lin, Dinesh Manocha, & Jur van den Berg. (2012). Reciprocal collision avoidance and multi-agent navigation for video games. National Conference on Artificial Intelligence. 49–52. 21 indexed citations
14.
Guy, Stephen J., Jur van den Berg, Wenxi Liu, et al.. (2012). A statistical similarity measure for aggregate crowd dynamics. ACM Transactions on Graphics. 31(6). 1–11. 90 indexed citations
15.
Guy, Stephen J., Sean Curtis, Ming C. Lin, & Dinesh Manocha. (2012). Least-effort trajectories lead to emergent crowd behaviors. Physical Review E. 85(1). 16110–16110. 56 indexed citations
16.
Snape, Jamie, Stephen J. Guy, & Jur van den Berg. (2010). Independent navigation of multiple robots and virtual agents. Adaptive Agents and Multi-Agents Systems. 1645–1646. 3 indexed citations
17.
Guy, Stephen J., Ming C. Lin, & Dinesh Manocha. (2010). Modeling collision avoidance behavior for virtual humans. Adaptive Agents and Multi-Agents Systems. 575–582. 41 indexed citations
18.
Guy, Stephen J., Jur van den Berg, Ming C. Lin, & Dinesh Manocha. (2010). Geometric methods for multi-agent collision avoidance. 115–116. 8 indexed citations
19.
Snape, Jamie, Jur van den Berg, Stephen J. Guy, & Dinesh Manocha. (2009). Independent navigation of multiple mobile robots with hybrid reciprocal velocity obstacles. 5917–5922. 63 indexed citations
20.
Gayle, Russell, et al.. (2008). Interactive Navigation of Heterogeneous Agents Using Adaptive Roadmaps. IEEE Transactions on Visualization and Computer Graphics. 15(1). 34–48. 30 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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