Geoffrey Chu

476 citations
13 papers · 83 · h-index 6

Impact in

Papers in

Geoffrey Chu

13 papers receiving 78 citations

Peers

Geoffrey Chu
Comparison fields: 5 of 29
  • Industrial and Manufacturing Engineering 22
  • Software 8
  • Computer Networks and Communications 35
  • Artificial Intelligence 42
  • Management Science and Operations Research 14
Replace Roberto Amadini with:
Roberto Amadini Italy
Thibaut Feydy Australia
Alexander Nadel Israel
Linda van der Gaag Netherlands
Dimitrios Letsios France
Jean-Marie Lagniez France
Kevin Watkins United States
Frédéric Boulanger France
Christophe Lecoutre France
Sara Ahmadian United States
Geoffrey Chu relative to Roberto Amadini Italy Roberto Amadini's profile →
Citations per field
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Roberto Amadini · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Geoffrey Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoffrey Chu Line = papers co-authored together Geoffrey Chu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201020
2 20149
3 20159
4 20138
5 20117
6 20096
7 20145
8 20115
9 20155
10
On the complexity of global scheduling constraints under structural restrictions
20134
11 19963
12 20121
13
Symmetries and lazy clause generation
20101

About Geoffrey Chu

Geoffrey Chu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Surgery, having authored 13 papers that have together received 83 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (6 papers), Advanced Graph Theory Research (4 papers), Logic, Reasoning, and Knowledge (3 papers), Logic, programming, and type systems (3 papers), Bayesian Modeling and Causal Inference (2 papers), Optimization and Search Problems (2 papers), Semantic Web and Ontologies (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (22 citations), Software (8 citations), Computer Networks and Communications (35 citations), Artificial Intelligence (42 citations) and Management Science and Operations Research (14 citations). Geoffrey Chu has collaborated with scholars based in Australia. Frequent co-authors include Peter J. Stuckey, María García de la Banda, Rehan Aziz, Christian Muise, Aaron Harwood, Serge Gaspers, Nina Narodytska, Andreas Schutt, Toby Walsh and C. Bull. Their work appears in journals such as Constraints, Theory and Practice of Logic Programming, INFORMS journal on computing, Gastrointestinal Endoscopy and Artificial Intelligence.

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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