Deborah Stacey

1.1k total citations
58 papers, 694 citations indexed

About

Deborah Stacey is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deborah Stacey has authored 58 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deborah Stacey's work include Semantic Web and Ontologies (8 papers), Neural Networks and Applications (7 papers) and Data-Driven Disease Surveillance (5 papers). Deborah Stacey is often cited by papers focused on Semantic Web and Ontologies (8 papers), Neural Networks and Applications (7 papers) and Data-Driven Disease Surveillance (5 papers). Deborah Stacey collaborates with scholars based in Canada, United Kingdom and United States. Deborah Stacey's co-authors include Stephen D. Prentice, A.E. Patla, Simon X. Yang, Chaomin Luo, Stefan C. Kremer, Rozita Dara, Shannon E. Majowicz, Jeff Wilson, Kathryn Doré and Paul Sockett and has published in prestigious journals such as The Lancet, Experimental Brain Research and Agronomy Journal.

In The Last Decade

Deborah Stacey

52 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Stacey Canada 13 175 120 109 87 84 58 694
Hans Jørgen Andersen Denmark 22 131 0.7× 382 3.2× 96 0.9× 93 1.1× 117 1.4× 85 2.0k
Jorge Díez Spain 20 350 2.0× 148 1.2× 35 0.3× 81 0.9× 104 1.2× 58 1.2k
Andrew E. Waters United States 11 163 0.9× 79 0.7× 200 1.8× 165 1.9× 15 0.2× 27 927
Donghui Yan China 21 289 1.7× 264 2.2× 134 1.2× 83 1.0× 30 0.4× 61 1.4k
Ana M. Sahagún Spain 14 550 3.1× 120 1.0× 257 2.4× 81 0.9× 12 0.1× 59 1.8k
Xiaonan Zhao China 23 64 0.4× 198 1.6× 138 1.3× 288 3.3× 39 0.5× 74 1.4k
Diego H. Milone Argentina 26 543 3.1× 269 2.2× 42 0.4× 156 1.8× 55 0.7× 129 2.3k
Karin Anna Hummel Austria 23 48 0.3× 155 1.3× 40 0.4× 50 0.6× 44 0.5× 107 1.8k
S. Chowdhury India 20 191 1.1× 55 0.5× 19 0.2× 92 1.1× 40 0.5× 103 1.2k
Paul Walsh Ireland 15 97 0.6× 47 0.4× 29 0.3× 29 0.3× 42 0.5× 68 669

Countries citing papers authored by Deborah Stacey

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Stacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Stacey

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Stacey. A scholar is included among the top collaborators of Deborah Stacey 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 Deborah Stacey. Deborah Stacey 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.
2.
Bernardo, Theresa M., Jonathan Rushton, Deborah Stacey, et al.. (2024). Global Burden of Animal Diseases informatics strategy, data quality and model interoperability. Revue Scientifique et Technique de l OIE. 43. 96–107.
3.
Bernardo, Theresa M., et al.. (2023). Informatics progress of the Global Burden of Animal Diseases programme towards data for One Health. Revue Scientifique et Technique de l OIE. 42. 218–229. 3 indexed citations
4.
Schrobback, Peggy, Li Yin, Dianne Mayberry, et al.. (2023). Approximating the global economic (market) value of farmed animals. Global Food Security. 39. 100722–100722. 20 indexed citations
5.
Stacey, Deborah, et al.. (2022). From FAIR to FAIRS: Data security by design for the global burden of animal diseases. Agronomy Journal. 114(5). 2693–2699. 8 indexed citations
6.
Rushton, Jonathan, Ben Huntington, W. Gilbert, et al.. (2021). Roll-out of the Global Burden of Animal Diseases programme. The Lancet. 397(10279). 1045–1046. 42 indexed citations
7.
Sargeant, Jan M., Alison Thomas, Deborah Stacey, et al.. (2019). A scoping review of ‘big data’, ‘informatics’, and ‘bioinformatics’ in the animal health and veterinary medical literature. Animal Health Research Reviews. 20(1). 1–18. 10 indexed citations
8.
9.
Fobel, Christian, Gary Gréwal, & Deborah Stacey. (2011). GPU-Accelerated Wire-Length Estimation for FPGA Placement. 14–23. 4 indexed citations
10.
Majowicz, Shannon E., W. Bruce McNab, Paul Sockett, et al.. (2006). Burden and Cost of Gastroenteritis in a Canadian Community. Journal of Food Protection. 69(3). 651–660. 60 indexed citations
11.
Stacey, Deborah, et al.. (2006). Feature subset selection via multi-objective genetic algorithm. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 3. 1349–1354. 7 indexed citations
12.
Majowicz, Shannon E. & Deborah Stacey. (2006). The use of clustering to analyze symptom-based case definitions for acute gastrointestinal illness. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 4. 2429–2434. 3 indexed citations
13.
Stacey, Deborah & Ilias Kotsireas. (2005). Proceedings, 19th International Symposium on High Performance Computing Systems and Applications, HPCS 2005 : 15-18 May 2005, Guelph, Ontario, Canada. 1 indexed citations
14.
Majowicz, Shannon E., Kathryn Doré, James Flint, et al.. (2004). Magnitude and distribution of acute, self-reported gastrointestinal illness in a Canadian community. Epidemiology and Infection. 132(4). 607–617. 88 indexed citations
15.
Luo, Chaomin, Simon X. Yang, Deborah Stacey, & J. C. Jofriet. (2003). A solution to vicinity problem of obstacles in complete coverage path planning. 1. 612–617. 45 indexed citations
16.
Stacey, Deborah & Stefan C. Kremer. (2002). The Guelph Darwin Project: the evolution of neural networks by genetic algorithms. ii. 957–957. 2 indexed citations
17.
Stacey, Deborah, et al.. (2002). A distance based network for sequence processing. 3. 2507–2512.
18.
Prentice, Stephen D., A.E. Patla, & Deborah Stacey. (2001). Artificial neural network model for the generation of muscle activation patterns for human locomotion. Journal of Electromyography and Kinesiology. 11(1). 19–30. 41 indexed citations
19.
Prentice, Stephen D., A.E. Patla, & Deborah Stacey. (1998). Simple artificial neural network models can generate basic muscle activity patterns for human locomotion at different speeds. Experimental Brain Research. 123(4). 474–480. 32 indexed citations
20.
Prentice, Stephen D., A.E. Patla, & Deborah Stacey. (1995). Modelling the time-keeping function of the central pattern generator for locomotion using artificial sequential neural network. Medical & Biological Engineering & Computing. 33(3). 317–322. 6 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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