Tomer Weiss

456 total citations
17 papers, 315 citations indexed

About

Tomer Weiss is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomer Weiss has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ocean Engineering, 7 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomer Weiss's work include Evacuation and Crowd Dynamics (9 papers), Traffic control and management (5 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tomer Weiss is often cited by papers focused on Evacuation and Crowd Dynamics (9 papers), Traffic control and management (5 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tomer Weiss collaborates with scholars based in United States and Germany. Tomer Weiss's co-authors include Demetri Terzopoulos, R Heine, M. Rivet-Bastide, Mauro LoMonaco, Nenad Mitrović, Ch. Franke, Holger Lerche, Alfred L. George, Klaus Dietmayer and Nico Kaempchen and has published in prestigious journals such as The Journal of Physiology, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Tomer Weiss

14 papers receiving 306 citations

Peers

Tomer Weiss
Liqiong Tang New Zealand
Inung Wijayanto Indonesia
Khalil AlSharabi Saudi Arabia
Xie Chen China
Yun Hwa Hong South Korea
Douglas S. Pfeil United States
Nanxiang Li United States
Liqiong Tang New Zealand
Tomer Weiss
Citations per year, relative to Tomer Weiss Tomer Weiss (= 1×) peers Liqiong Tang

Countries citing papers authored by Tomer Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Weiss

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

All Works

17 of 17 papers shown
1.
Weiss, Tomer. (2025). Projective Multi-Agent Dynamics. 1–8.
2.
Weiss, Tomer, et al.. (2025). Generalized, Dynamic Multi-agent Torso Crowds. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 8(1). 1–15.
3.
Weiss, Tomer, et al.. (2025). How to Break Crowd Simulation Algorithms. 1–2. 1 indexed citations
4.
Zhang, Yunhao, et al.. (2024). Learning Crowd Motion Dynamics with Crowds. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 7(1). 1–17. 4 indexed citations
5.
Weiss, Tomer, et al.. (2023). Formation‐Aware Planning and Navigation with Corridor Shortest Path Maps. Computer Graphics Forum. 43(1).
6.
Zhang, Yunhao, et al.. (2023). Learning to Simulate Crowds with Crowds. 1–2. 1 indexed citations
7.
Weiss, Tomer. (2023). Fast Position-based Multi-Agent Group Dynamics. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 6(1). 1–15. 4 indexed citations
8.
Weiss, Tomer, et al.. (2020). Plane-Based Local Behaviors for Multi-Agent 3D Simulations with Position-Based Dynamics. ll. 214–217. 2 indexed citations
9.
Weiss, Tomer, et al.. (2018). Fast and Scalable Position-Based Layout Synthesis. IEEE Transactions on Visualization and Computer Graphics. 25(12). 3231–3243. 18 indexed citations
10.
Weiss, Tomer, et al.. (2018). Position-based real-time simulation of large crowds. Computers & Graphics. 78. 12–22. 22 indexed citations
11.
Zhou, Tao, et al.. (2018). Deep learning of biomimetic sensorimotor control for biomechanical human animation. ACM Transactions on Graphics. 37(4). 1–15. 37 indexed citations
12.
Weiss, Tomer, et al.. (2017). Position-based multi-agent dynamics for real-time crowd simulation. 1–2. 13 indexed citations
13.
Weiss, Tomer, et al.. (2005). Feature-level map building and object recognition for intersection safety applications. 490–495. 4 indexed citations
14.
Weiss, Tomer, Nico Kaempchen, & Klaus Dietmayer. (2005). Precise ego-localization in urban areas using Laserscanner and high accuracy feature maps. 284–289. 42 indexed citations
15.
Wender, Stefan, Tomer Weiss, & Klaus Dietmayer. (2005). Improved object classification of laserscanner measurements at intersections using precise high level maps. 71. 756–761. 3 indexed citations
16.
Lerche, Holger, R Heine, Alfred L. George, et al.. (1993). Human sodium channel myotonia: slowed channel inactivation due to substitutions for a glycine within the III‐IV linker.. The Journal of Physiology. 470(1). 13–22. 157 indexed citations
17.
Hanke, Randolf, et al.. (1992). Automated 3D X-ray Inspection Of Fine Pitch PCB's. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 187–190. 7 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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