Jordan Thayer

628 total citations
18 papers, 405 citations indexed

About

Jordan Thayer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jordan Thayer has authored 18 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jordan Thayer's work include AI-based Problem Solving and Planning (13 papers), Constraint Satisfaction and Optimization (12 papers) and Robotic Path Planning Algorithms (7 papers). Jordan Thayer is often cited by papers focused on AI-based Problem Solving and Planning (13 papers), Constraint Satisfaction and Optimization (12 papers) and Robotic Path Planning Algorithms (7 papers). Jordan Thayer collaborates with scholars based in United States, Canada and Israel. Jordan Thayer's co-authors include Wheeler Ruml, Silvia Richter, Roni Stern, Ariel Felner, J. Benton, Malte Helmert, Nathan Sturtevant, Richard Valenzano, Mark Burstein and Ugur Kuter and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Conference on Automated Planning and Scheduling and International Joint Conference on Artificial Intelligence.

In The Last Decade

Jordan Thayer

16 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan Thayer United States 10 324 214 188 40 33 18 405
Jöerg Hoffmann Germany 11 404 1.2× 92 0.4× 151 0.8× 9 0.2× 24 0.7× 32 463
Andre Stechert United States 6 169 0.5× 59 0.3× 125 0.7× 56 1.4× 17 0.5× 8 286
Roberto Lublinerman United States 12 138 0.4× 151 0.7× 110 0.6× 36 0.9× 26 0.8× 20 494
Keith Golden United States 9 221 0.7× 50 0.2× 86 0.5× 23 0.6× 19 0.6× 16 318
Russell Knight United States 8 179 0.6× 48 0.2× 159 0.8× 67 1.7× 5 0.2× 23 316
Gabriele Röger Switzerland 11 441 1.4× 118 0.6× 154 0.8× 7 0.2× 6 0.2× 31 482
Mamun Abu-Tair United Kingdom 7 52 0.2× 127 0.6× 89 0.5× 21 0.5× 16 0.5× 28 271
Slobodan Petrović Norway 11 184 0.6× 71 0.3× 175 0.9× 7 0.2× 108 3.3× 30 332
Zilin Zhang China 7 408 1.3× 72 0.3× 57 0.3× 47 1.2× 20 0.6× 19 506
Norio Shiratori Japan 14 76 0.2× 40 0.2× 286 1.5× 97 2.4× 8 0.2× 79 479

Countries citing papers authored by Jordan Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Thayer

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

All Works

18 of 18 papers shown
1.
Thayer, Jordan, Roni Stern, & Levi H. S. Lelis. (2021). Are We There Yet? — Estimating Search Progress. Proceedings of the International Symposium on Combinatorial Search. 3(1). 129–136. 3 indexed citations
2.
Thayer, Jordan, J. Benton, & Malte Helmert. (2021). Better Parameter-Free Anytime Search by Minimizing Time Between Solutions. Proceedings of the International Symposium on Combinatorial Search. 3(1). 120–128. 6 indexed citations
3.
Thayer, Jordan, et al.. (2021). Deadline-Aware Search Using On-Line Measures of Behavior. Proceedings of the International Symposium on Combinatorial Search. 2(1). 39–46. 11 indexed citations
4.
Kuter, Ugur, Mark Burstein, J. Benton, et al.. (2015). HACKAR: Helpful Advice for Code Knowledge and Attack Resilience. Proceedings of the AAAI Conference on Artificial Intelligence. 29(2). 3987–3992. 6 indexed citations
5.
Potts, Colin, et al.. (2013). Improving Trust Estimates in Planning Domains with Rare Failure Events. National Conference on Artificial Intelligence. 2 indexed citations
6.
Valenzano, Richard, et al.. (2013). Using Alternative Suboptimality Bounds in Heuristic Search. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 233–241. 12 indexed citations
7.
Thayer, Jordan, Mark Burstein, Robert P. Goldman, et al.. (2013). Comparing Strategic and Tactical Responses to Cyber Threats. 35–40. 3 indexed citations
8.
Chen, Chien‐Hua, Howard Pearlman, Jordan Thayer, et al.. (2013). A FUEL FLEXIBLE REFORMING SYSTEM FOR PORTABLE SCALE SOFC. SAE technical papers on CD-ROM/SAE technical paper series. 1.
9.
Thayer, Jordan, Roni Stern, Ariel Felner, & Wheeler Ruml. (2012). Faster Bounded-Cost Search Using Inadmissible Estimates. Proceedings of the International Conference on Automated Planning and Scheduling. 22. 270–278. 30 indexed citations
10.
Thayer, Jordan & Wheeler Ruml. (2011). Bounded suboptimal search: a direct approach using inadmissible estimates. International Joint Conference on Artificial Intelligence. 674–679. 72 indexed citations
11.
Thayer, Jordan. (2011). Heuristic search under quality and time bounds. International Joint Conference on Artificial Intelligence. 2854–2855.
12.
Thayer, Jordan, et al.. (2011). Learning Inadmissible Heuristics During Search. Proceedings of the International Conference on Automated Planning and Scheduling. 21. 250–257. 50 indexed citations
13.
Richter, Silvia, Jordan Thayer, & Wheeler Ruml. (2010). The Joy of Forgetting: Faster Anytime Search via Restarting. Proceedings of the International Conference on Automated Planning and Scheduling. 20. 137–144. 62 indexed citations
14.
Thayer, Jordan & Wheeler Ruml. (2010). Finding Acceptable Solutions Faster Using Inadmissible Information. Proceedings of the International Symposium on Combinatorial Search. 1(1). 98–99. 9 indexed citations
15.
Thayer, Jordan, et al.. (2010). A Comparison of Greedy Search Algorithms. Proceedings of the International Symposium on Combinatorial Search. 1(1). 129–136. 35 indexed citations
16.
Thayer, Jordan & Wheeler Ruml. (2010). Anytime Heuristic Search: Frameworks and Algorithms. Proceedings of the International Symposium on Combinatorial Search. 1(1). 121–128. 24 indexed citations
17.
Thayer, Jordan & Wheeler Ruml. (2009). Using Distance Estimates in Heuristic Search. Proceedings of the International Conference on Automated Planning and Scheduling. 19. 382–385. 29 indexed citations
18.
Thayer, Jordan & Wheeler Ruml. (2008). Faster than weighted A*: an optimistic approach to bounded suboptimal search. International Conference on Automated Planning and Scheduling. 355–362. 51 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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