Charles Gretton

711 total citations
30 papers, 359 citations indexed

About

Charles Gretton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charles Gretton has authored 30 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Charles Gretton's work include AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (11 papers) and Formal Methods in Verification (7 papers). Charles Gretton is often cited by papers focused on AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (11 papers) and Formal Methods in Verification (7 papers). Charles Gretton collaborates with scholars based in Australia, United Kingdom and Germany. Charles Gretton's co-authors include Sylvie Thiébaux, Richard Dearden, Moritz Göbelbecker, Abdul Sattar, Hendrik Zender, Marc Hanheide, Andrzej Pronobis, Nick Hawes, Jeremy Wyatt and David J. Price and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Charles Gretton

27 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Gretton Australia 11 259 78 65 50 40 30 359
Derya Aksaray United States 9 154 0.6× 97 1.2× 148 2.3× 87 1.7× 56 1.4× 34 339
Antonín Komenda Czechia 10 189 0.7× 68 0.9× 17 0.3× 60 1.2× 19 0.5× 50 317
Amal El Fallah Seghrouchni France 9 191 0.7× 48 0.6× 37 0.6× 107 2.1× 24 0.6× 48 312
Anthony Barrett United States 12 281 1.1× 38 0.5× 28 0.4× 171 3.4× 39 1.0× 37 419
Richard Valenzano Canada 9 370 1.4× 82 1.1× 114 1.8× 70 1.4× 55 1.4× 22 445
Jason Wolfe United States 8 218 0.8× 119 1.5× 14 0.2× 38 0.8× 66 1.6× 13 342
Rodrigo Toro Icarte Canada 7 294 1.1× 37 0.5× 109 1.7× 29 0.6× 53 1.3× 12 361
Landon Kraemer United States 6 170 0.7× 20 0.3× 43 0.7× 64 1.3× 71 1.8× 17 304
Ralph Rönnquist Australia 6 184 0.7× 19 0.2× 24 0.4× 79 1.6× 18 0.5× 18 257
Connie Loggia Ramsey United States 8 362 1.4× 35 0.4× 97 1.5× 30 0.6× 28 0.7× 11 479

Countries citing papers authored by Charles Gretton

Since Specialization
Citations

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

Fields of papers citing papers by Charles Gretton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Gretton

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Gretton. A scholar is included among the top collaborators of Charles Gretton 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 Charles Gretton. Charles Gretton 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.
Smith, Jeffrey, et al.. (2023). Image-to-image translation for wavefront and point spread function estimation. Journal of Astronomical Telescopes Instruments and Systems. 9(1).
2.
Smith, Jeffrey, et al.. (2023). A Study of Network-based Wavefront Estimation with Noise. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Gretton, Charles, et al.. (2019). A Verified Compositional Algorithm for AI Planning. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
4.
Norrish, Michael, et al.. (2018). Formally Verified Algorithms for Upper-Bounding State Space Diameters. Journal of Automated Reasoning. 61(1-4). 485–520. 6 indexed citations
5.
Gretton, Charles, et al.. (2018). A TIL-Relaxed Heuristic for Planning with Time Windows. Proceedings of the International Conference on Automated Planning and Scheduling. 28. 2–10. 1 indexed citations
6.
Aziz, Haris, et al.. (2016). A Study of Proxies for Shapley Allocations of Transport Costs. Journal of Artificial Intelligence Research. 56. 573–611. 11 indexed citations
7.
Gretton, Charles, et al.. (2015). A Realistic Multi-Modal Cargo Routing Benchmark. National Conference on Artificial Intelligence. 2 indexed citations
8.
Hanheide, Marc, Moritz Göbelbecker, Andrzej Pronobis, et al.. (2015). Robot task planning and explanation in open and uncertain worlds. Artificial Intelligence. 247. 119–150. 96 indexed citations
9.
Norrish, Michael, et al.. (2015). Exploiting symmetries by planning for a descriptive quotient. Griffith Research Online (Griffith University, Queensland, Australia). 1479–1486. 3 indexed citations
10.
Grzybowska, Hanna, Charles Gretton, Philip Kilby, & S. Travis Waller. (2015). Decision Support System for a Real-Time Field Service Engineer Scheduling Problem with Emergencies and Collaborations. Transportation Research Record Journal of the Transportation Research Board. 2497(1). 117–123. 2 indexed citations
11.
Gretton, Charles, et al.. (2014). Mechanising Theoretical Upper Bounds in Planning. International Conference on Automated Planning and Scheduling. 1 indexed citations
12.
Rintanen, Jussi & Charles Gretton. (2013). Computing upper bounds on lengths of transition sequences. ANU Open Research (Australian National University). 2365–2372. 10 indexed citations
13.
Hanheide, Marc, Charles Gretton, Richard Dearden, et al.. (2011). Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. Lincoln Repository (University of Lincoln). 30 indexed citations
14.
Gretton, Charles, et al.. (2010). Cost-Optimal Planning using Weighted MaxSAT. Griffith Research Online (Griffith University, Queensland, Australia). 14–22. 1 indexed citations
15.
Gretton, Charles, et al.. (2009). SAT-Based Parallel Planning Using a Split Representation of Actions. Proceedings of the International Conference on Automated Planning and Scheduling. 19. 281–288. 23 indexed citations
16.
Gretton, Charles, et al.. (2008). A compact and efficient SAT encoding for planning. Griffith Research Online (Griffith University, Queensland, Australia). 296–303. 12 indexed citations
17.
Pham, Duc Nghia, et al.. (2008). Combining Adaptive and Dynamic Local Search for Satisfiability. 4(2-4). 149–172. 14 indexed citations
18.
Gretton, Charles, et al.. (2008). Induction of topological environment maps from sequences of visited places. 173. 2890–2895. 5 indexed citations
19.
Gretton, Charles. (2007). Gradient-based relational reinforcement learning of temporally extended policies. Griffith Research Online (Griffith University, Queensland, Australia). 168–175. 6 indexed citations
20.
Gretton, Charles & Sylvie Thiébaux. (2004). Exploiting first-order regression in inductive policy selection. Uncertainty in Artificial Intelligence. 217–225. 37 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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Rankless by CCL
2026