Guni Sharon

3.4k total citations · 1 hit paper
44 papers, 1.7k citations indexed

About

Guni Sharon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Guni Sharon has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Guni Sharon's work include Robotic Path Planning Algorithms (17 papers), AI-based Problem Solving and Planning (13 papers) and Traffic control and management (12 papers). Guni Sharon is often cited by papers focused on Robotic Path Planning Algorithms (17 papers), AI-based Problem Solving and Planning (13 papers) and Traffic control and management (12 papers). Guni Sharon collaborates with scholars based in United States, Israel and Canada. Guni Sharon's co-authors include Ariel Felner, Roni Stern, Nathan Sturtevant, Meir Goldenberg, Eli Boyarski, Peter Stone, Hang Ma, Craig A. Tovey, Sven Koenig and T. K. Satish Kumar and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Guni Sharon

40 papers receiving 1.7k citations

Hit Papers

Conflict-based search for optimal multi-agent pathfinding 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guni Sharon United States 18 1.3k 633 504 290 270 44 1.7k
Roni Stern Israel 22 1.6k 1.2× 1.1k 1.8× 755 1.5× 384 1.3× 319 1.2× 130 2.5k
Nathan Sturtevant Canada 24 1.9k 1.5× 1.6k 2.6× 900 1.8× 318 1.1× 360 1.3× 149 2.9k
Daniel Harabor Australia 20 1.1k 0.9× 439 0.7× 334 0.7× 233 0.8× 334 1.2× 86 1.5k
Hang Ma United States 23 1.3k 1.0× 571 0.9× 534 1.1× 353 1.2× 227 0.8× 57 1.6k
Ariel Felner Israel 30 2.2k 1.8× 1.9k 2.9× 1.4k 2.7× 522 1.8× 424 1.6× 179 3.5k
Xiaoshan Bai China 18 388 0.3× 159 0.3× 323 0.6× 215 0.7× 206 0.8× 54 1.1k
Ketan Savla United States 19 505 0.4× 119 0.2× 638 1.3× 238 0.8× 324 1.2× 79 1.5k
T. K. Satish Kumar United States 19 1.2k 1.0× 627 1.0× 590 1.2× 286 1.0× 301 1.1× 131 1.9k
Jérôme Le Ny Canada 22 481 0.4× 682 1.1× 815 1.6× 84 0.3× 510 1.9× 92 1.9k
Xuting Duan China 25 284 0.2× 253 0.4× 720 1.4× 86 0.3× 269 1.0× 99 1.7k

Countries citing papers authored by Guni Sharon

Since Specialization
Citations

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

Fields of papers citing papers by Guni Sharon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guni Sharon

This figure shows the co-authorship network connecting the top 25 collaborators of Guni Sharon. A scholar is included among the top collaborators of Guni Sharon 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 Guni Sharon. Guni Sharon 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.
Sharon, Guni, et al.. (2025). A computer vision approach for analysis of detonation cellular structures. Applications in Energy and Combustion Science. 23. 100340–100340.
3.
Sharon, Guni, et al.. (2022). Intersection Management Protocol for Mixed Autonomous and Human-Operated Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18315–18325. 9 indexed citations
4.
Sharon, Guni, et al.. (2021). Reinforcement Learning Benchmarks for Traffic Signal Control. Neural Information Processing Systems. 16 indexed citations
5.
Sharon, Guni, et al.. (2021). A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3485–3491. 6 indexed citations
6.
Sharon, Guni, Roni Stern, Meir Goldenberg, & Ariel Felner. (2021). Pruning Techniques for the Increasing Cost Tree Search for Optimal Multi-agent Pathfinding. Proceedings of the International Symposium on Combinatorial Search. 2(1). 150–157. 5 indexed citations
7.
Sharon, Guni, Roni Stern, Ariel Felner, & Nathan Sturtevant. (2021). Conflict-Based Search For Optimal Multi-Agent Path Finding. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 563–569. 24 indexed citations
8.
Sharon, Guni, Roni Stern, Ariel Felner, & Nathan Sturtevant. (2021). Conflict-Based Search for Optimal Multi-Agent Path Finding. Proceedings of the International Symposium on Combinatorial Search. 3(1). 190–190. 36 indexed citations
9.
Sharon, Guni, et al.. (2019). Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks. Adaptive Agents and Multi-Agents Systems. 1539–1546. 4 indexed citations
10.
Sharon, Guni, et al.. (2018). Link-based Parameterized Micro-tolling Scheme for Optimal Traffic Management. Adaptive Agents and Multi-Agents Systems. 2013–2015. 4 indexed citations
11.
Sharon, Guni, et al.. (2018). Enhanced Delta-tolling: Traffic Optimization via Policy Gradient Reinforcement Learning. 47–52. 11 indexed citations
12.
Sharon, Guni, et al.. (2017). Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks. Adaptive Agents and Multi-Agents Systems. 828–836. 19 indexed citations
13.
Sharon, Guni, et al.. (2017). Network-wide adaptive tolling for connected and automated vehicles. Transportation Research Part C Emerging Technologies. 84. 142–157. 33 indexed citations
14.
Zhang, Shiqi, et al.. (2017). Multirobot Symbolic Planning under Temporal Uncertainty. Adaptive Agents and Multi-Agents Systems. 501–510. 10 indexed citations
16.
Holte, Robert C., Ariel Felner, Guni Sharon, Nathan Sturtevant, & Jingwei Chen. (2017). MM: A bidirectional search algorithm that is guaranteed to meet in the middle. Artificial Intelligence. 252. 232–266. 30 indexed citations
17.
Sharon, Guni, et al.. (2016). Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput.. International Joint Conference on Artificial Intelligence. 5 indexed citations
18.
Sharon, Guni, Roni Stern, Ariel Felner, & Nathan Sturtevant. (2014). Conflict-based search for optimal multi-agent pathfinding. Artificial Intelligence. 219. 40–66. 701 indexed citations breakdown →
19.
Sharon, Guni, Ariel Felner, Roni Stern, & Nathan Sturtevant. (2013). Partial domain search tree for constraint-satisfaction problems. National Conference on Artificial Intelligence. 125–127.
20.
Sharon, Guni, Roni Stern, Meir Goldenberg, & Ariel Felner. (2012). The increasing cost tree search for optimal multi-agent pathfinding. Artificial Intelligence. 195. 470–495. 214 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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