Thayne T. Walker

467 total citations
7 papers, 99 citations indexed

About

Thayne T. Walker is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thayne T. Walker has authored 7 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thayne T. Walker's work include Multi-Agent Systems and Negotiation (4 papers), Reinforcement Learning in Robotics (3 papers) and Robotic Path Planning Algorithms (3 papers). Thayne T. Walker is often cited by papers focused on Multi-Agent Systems and Negotiation (4 papers), Reinforcement Learning in Robotics (3 papers) and Robotic Path Planning Algorithms (3 papers). Thayne T. Walker collaborates with scholars based in United States, Canada and Israel. Thayne T. Walker's co-authors include Nathan Sturtevant, Ariel Felner, David Rosenbluth, D. Javorsek, Jaime S. Ide, David W. Chan, Tushar Kumar, Han Zhang, Jiaoyang Li and Michael J. Guarino and has published in prestigious journals such as IEEE Transactions on Artificial Intelligence, Proceedings of the International Conference on Automated Planning and Scheduling and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Thayne T. Walker

6 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thayne T. Walker United States	5	57	36	34	22	11	7	99
Saumil Maheshwari India	7	58 1.0×	62 1.7×	39 1.1×	12 0.5×	13 1.2×	13	178
Yucheng Zhou China	8	70 1.2×	88 2.4×	22 0.6×	16 0.7×	13 1.2×	38	194
Grzegorz Chmaj United States	6	20 0.4×	16 0.4×	36 1.1×	53 2.4×	18 1.6×	25	142
Théophile Gervet United States	5	58 1.0×	87 2.4×	24 0.7×	9 0.4×	22 2.0×	7	145
Yaozong Zheng China	7	125 2.2×	28 0.8×	42 1.2×	5 0.2×	10 0.9×	13	181
Dileep Kumar Yadav India	8	124 2.2×	29 0.8×	25 0.7×	17 0.8×	3 0.3×	29	175
Zun Wang China	8	116 2.0×	73 2.0×	21 0.6×	54 2.5×	8 0.7×	17	231
Xiaoyang Hao China	6	17 0.3×	89 2.5×	20 0.6×	14 0.6×	12 1.1×	10	152
Tianjun Zhang China	8	79 1.4×	44 1.2×	61 1.8×	7 0.3×	9 0.8×	26	146

Countries citing papers authored by Thayne T. Walker

Since Specialization

Citations

This map shows the geographic impact of Thayne T. Walker'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 Thayne T. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thayne T. Walker more than expected).

Fields of papers citing papers by Thayne T. Walker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thayne T. Walker. 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 Thayne T. Walker. The network helps show where Thayne T. Walker may publish in the future.

Co-authorship network of co-authors of Thayne T. Walker

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

All Works

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7 of 7 papers shown

1.

Walker, Thayne T., et al.. (2023). Multi-Agent Reinforcement Learning with Epistemic Priors. 2514–2518.

2.

Ide, Jaime S., et al.. (2022). Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. IEEE Transactions on Artificial Intelligence. 4(6). 1371–1385. 46 indexed citations

3.

Choi, Minkyu, et al.. (2022). Soft Actor-Critic with Inhibitory Networks for Retraining UAV Controllers Faster. 1561–1570. 1 indexed citations

4.

Walker, Thayne T., Nathan Sturtevant, Ariel Felner, et al.. (2021). Conflict-Based Increasing Cost Search. Proceedings of the International Conference on Automated Planning and Scheduling. 31. 385–395. 7 indexed citations

5.

Walker, Thayne T., Nathan Sturtevant, & Ariel Felner. (2020). Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7277–7284. 8 indexed citations

6.

Walker, Thayne T., Nathan Sturtevant, & Ariel Felner. (2018). Extended Increasing Cost Tree Search for Non-Unit Cost Domains. 534–540. 29 indexed citations

7.

Walker, Thayne T., David W. Chan, & Nathan Sturtevant. (2017). Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding. Proceedings of the International Conference on Automated Planning and Scheduling. 27. 316–324. 8 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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