Geoffrey Chu

461 total citations
12 papers, 75 citations indexed

About

Geoffrey Chu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Geoffrey Chu has authored 12 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Geoffrey Chu's work include Constraint Satisfaction and Optimization (6 papers), Advanced Graph Theory Research (4 papers) and Logic, programming, and type systems (3 papers). Geoffrey Chu is often cited by papers focused on Constraint Satisfaction and Optimization (6 papers), Advanced Graph Theory Research (4 papers) and Logic, programming, and type systems (3 papers). Geoffrey Chu collaborates with scholars based in Australia. Geoffrey Chu's co-authors include Peter J. Stuckey, María García de la Banda, Rehan Aziz, Aaron Harwood, Christian Muise, Serge Gaspers, Nina Narodytska, Toby Walsh, Andreas Schutt and P E Gillespie and has published in prestigious journals such as Artificial Intelligence, Gastrointestinal Endoscopy and INFORMS journal on computing.

In The Last Decade

Geoffrey Chu

12 papers receiving 69 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey Chu Australia	6	37	33	20	15	14	12	75
Thibaut Feydy Australia	5	21 0.6×	47 1.4×	62 3.1×	20 1.3×	58 4.1×	7	108
Jean-Marie Lagniez France	6	73 2.0×	26 0.8×	3 0.1×	33 2.2×	11 0.8×	26	98
Marie‐Éléonore Kessaci France	5	47 1.3×	7 0.2×	34 1.7×	28 1.9×	13 0.9×	22	68
Ralph Becket Australia	3	21 0.6×	17 0.5×	4 0.2×	6 0.4×	5 0.4×	7	38
Dimitrios Letsios France	7	22 0.6×	52 1.6×	69 3.5×	8 0.5×	4 0.3×	14	111
Sara Ahmadian United States	4	22 0.6×	15 0.5×	16 0.8×	21 1.4×	6 0.4×	14	68
Frédéric Boulanger France	6	15 0.4×	13 0.4×	6 0.3×	23 1.5×	17 1.2×	16	73
Sonia Schulenburg United Kingdom	4	58 1.6×	16 0.5×	60 3.0×	14 0.9×	26 1.9×	5	107
Sampath Srinivas United States	5	58 1.6×	7 0.2×	4 0.2×	9 0.6×	8 0.6×	10	82
Christophe Lecoutre France	3	12 0.3×	24 0.7×	4 0.2×	9 0.6×	6 0.4×	4	38

Countries citing papers authored by Geoffrey Chu

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Chu

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

All Works

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12 of 12 papers shown

Aziz, Rehan, Geoffrey Chu, Christian Muise, & Peter J. Stuckey. (2015). Stable Model Counting and Its Application in Probabilistic Logic Programming. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 3468–3474. 9 indexed citations

Chu, Geoffrey & Peter J. Stuckey. (2014). Dominance breaking constraints. Constraints. 20(2). 155–182. 9 indexed citations

Chu, Geoffrey, et al.. (2014). Symmetries, almost symmetries, and lazy clause generation. Constraints. 19(4). 434–462. 5 indexed citations

Chu, Geoffrey, Serge Gaspers, Nina Narodytska, Andreas Schutt, & Toby Walsh. (2013). On the complexity of global scheduling constraints under structural restrictions. International Joint Conference on Artificial Intelligence. 503–509. 4 indexed citations

Aziz, Rehan, Geoffrey Chu, & Peter J. Stuckey. (2013). Stable model semantics for founded bounds. Theory and Practice of Logic Programming. 13(4-5). 517–532. 8 indexed citations

Chu, Geoffrey & Peter J. Stuckey. (2012). A complete solution to the Maximum Density Still Life Problem. Artificial Intelligence. 184-185. 1–16. 1 indexed citations

Chu, Geoffrey, et al.. (2011). Symmetries and lazy clause generation. International Joint Conference on Artificial Intelligence. 516–521. 6 indexed citations

Chu, Geoffrey, María García de la Banda, & Peter J. Stuckey. (2011). Exploiting subproblem dominance in constraint programming. Constraints. 17(1). 1–38. 5 indexed citations

Banda, María García de la, Peter J. Stuckey, & Geoffrey Chu. (2010). Solving Talent Scheduling with Dynamic Programming. INFORMS journal on computing. 23(1). 120–137. 18 indexed citations

10.

Chu, Geoffrey, et al.. (2010). Symmetries and lazy clause generation. 1–15. 1 indexed citations

11.

Chu, Geoffrey, Aaron Harwood, & Peter J. Stuckey. (2009). Cache Conscious Data Structures for Boolean Satisfiability Solvers. Minerva Access (University of Melbourne). 6(1-3). 99–120. 6 indexed citations

12.

Chu, Geoffrey, et al.. (1996). Laser palliation of inoperable malignant dysphagia: initial and at death. Gastrointestinal Endoscopy. 43(2). 29–32. 3 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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