Chris Fawcett

713 total citations
17 papers, 378 citations indexed

About

Chris Fawcett is a scholar working on Artificial Intelligence, Computer Networks and Communications and Genetics. According to data from OpenAlex, Chris Fawcett has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Genetics. Recurrent topics in Chris Fawcett's work include AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Chris Fawcett is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Chris Fawcett collaborates with scholars based in Canada, Italy and United Kingdom. Chris Fawcett's co-authors include Holger H. Hoos, Evica Rajcan‐Separovic, Christine Tyson, Ying Qiao, Chansonette Harvard, Dagmar K. Kalousek, Tom Philipp, Mary D. Stephenson, Mauro Vallati and Marco Chiarandini and has published in prestigious journals such as Human Reproduction, Human Genetics and Molecular Human Reproduction.

In The Last Decade

Chris Fawcett

17 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Fawcett Canada 10 131 120 118 51 50 17 378
Don Perugini Australia 9 11 0.1× 153 1.3× 106 0.9× 40 0.8× 26 0.5× 23 425
Sangwoo T. Han United States 12 73 0.6× 16 0.1× 91 0.8× 222 4.4× 78 1.6× 22 757
Rakesh Ahuja India 12 18 0.1× 7 0.1× 57 0.5× 28 0.5× 47 0.9× 53 468
Dinanath Sulakhe United States 14 25 0.2× 17 0.1× 32 0.3× 215 4.2× 109 2.2× 37 442
Joshua L. Levy United States 10 66 0.5× 8 0.1× 29 0.2× 58 1.1× 80 1.6× 17 261
Konstantin Tretyakov Estonia 6 36 0.3× 10 0.1× 68 0.6× 103 2.0× 56 1.1× 13 299
Mehmet Eren Yüksel Türkiye 8 16 0.1× 10 0.1× 85 0.7× 35 0.7× 4 0.1× 39 318
Cenk Sahinalp Canada 8 135 1.0× 8 0.1× 149 1.3× 256 5.0× 16 0.3× 12 503
Kazukuni Kobara Japan 10 58 0.4× 71 0.6× 187 1.6× 36 0.7× 214 4.3× 66 484

Countries citing papers authored by Chris Fawcett

Since Specialization
Citations

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

Fields of papers citing papers by Chris Fawcett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Fawcett

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

All Works

17 of 17 papers shown
1.
Vallati, Mauro, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, & Alessandro Saetti. (2021). Automatic Generation of Efficient Domain-Optimized Planners from Generic Parametrized Planners. Proceedings of the International Symposium on Combinatorial Search. 4(1). 184–192. 3 indexed citations
2.
Fawcett, Chris, et al.. (2018). Performance robustness of AI planners in the 2014 International Planning Competition. AI Communications. 31(6). 445–463. 3 indexed citations
3.
Biedenkapp, André, Marius Lindauer, Katharina Eggensperger, et al.. (2017). Efficient Parameter Importance Analysis via Ablation with Surrogates. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 19 indexed citations
4.
Fawcett, Chris, et al.. (2017). Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis. International Journal of Artificial Intelligence Tools. 26(1). 1760006–1760006. 10 indexed citations
5.
Fawcett, Chris, et al.. (2015). Portfolio Methods for Optimal Planning: An Empirical Analysis. Huddersfield Research Portal (University of Huddersfield). 494–501. 3 indexed citations
6.
Fawcett, Chris & Holger H. Hoos. (2015). Analysing differences between algorithm configurations through ablation. Journal of Heuristics. 22(4). 431–458. 73 indexed citations
7.
Fawcett, Chris, Mauro Vallati, Frank Hutter, et al.. (2014). Improved Features for Runtime Prediction of Domain-Independent Planners. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 355–359. 27 indexed citations
8.
Qiao, Ying, Christine Tyson, Monica Hrynchak, et al.. (2012). Clinical application of 2.7M Cytogenetics array for CNV detection in subjects with idiopathic autism and/or intellectual disability. Clinical Genetics. 83(2). 145–154. 32 indexed citations
9.
Vallati, Mauro, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, & Alessandro Saetti. (2011). Generating Domain-Specific Planners through Automatic Parameter Configuration in LPG. University of Huddersfield Repository (University of Huddersfield). 3 indexed citations
10.
Vallati, Mauro, Chris Fawcett, Alfonso Gerevini, Holger H. Hoos, & Alessandro Saetti. (2011). Generating Fast Domain-Specific Planners by Automatically Configuring a Generic Parameterised Planner. University of Huddersfield Repository (University of Huddersfield). 6 indexed citations
11.
Qiao, Ying, Chansonette Harvard, Christine Tyson, et al.. (2010). Outcome of array CGH analysis for 255 subjects with intellectual disability and search for candidate genes using bioinformatics. Human Genetics. 128(2). 179–194. 19 indexed citations
12.
Rajcan‐Separovic, Evica, Dan Diego‐Álvarez, Wendy P. Robinson, et al.. (2010). Identification of copy number variants in miscarriages from couples with idiopathic recurrent pregnancy loss. Human Reproduction. 25(11). 2913–2922. 85 indexed citations
13.
Fawcett, Chris, Holger H. Hoos, & Marco Chiarandini. (2009). An automatically configured modular algorithm for post enrollment course timetabling. University of Southern Denmark Research Portal (University of Southern Denmark). 4 indexed citations
14.
Rajcan‐Separovic, Evica, Ying Qiao, Christine Tyson, et al.. (2009). Genomic changes detected by array CGH in human embryos with developmental defects. Molecular Human Reproduction. 16(2). 125–134. 55 indexed citations
15.
Tyson, Christine, Angelika J. Dawson, Todd J. Anderson, et al.. (2009). Molecular cytogenetic investigation of two patients with Y chromosome rearrangements and intellectual disability. American Journal of Medical Genetics Part A. 149A(3). 490–495. 14 indexed citations
16.
Qiao, Ying, Chansonette Harvard, Chris Fawcett, et al.. (2008). Putatively benign copy number variants in subjects with idiopathic autism spectrum disorder and/or intellectual disability. Cytogenetic and Genome Research. 123(1-4). 79–87. 1 indexed citations
17.
Chiarandini, Marco, Chris Fawcett, & Holger H. Hoos. (2008). A Modular Multiphase Heuristic Solver for Post Enrolment Course Timetabling. University of Southern Denmark Research Portal (University of Southern Denmark). 21 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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