Deborah F. Cook

981 total citations
40 papers, 769 citations indexed

About

Deborah F. Cook is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Deborah F. Cook has authored 40 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Deborah F. Cook's work include Neural Networks and Applications (10 papers), Advanced Statistical Process Monitoring (9 papers) and Fault Detection and Control Systems (8 papers). Deborah F. Cook is often cited by papers focused on Neural Networks and Applications (10 papers), Advanced Statistical Process Monitoring (9 papers) and Fault Detection and Control Systems (8 papers). Deborah F. Cook collaborates with scholars based in United States, Taiwan and China. Deborah F. Cook's co-authors include Cliff T. Ragsdale, Chih‐Chou Chiu, Christopher W. Zobel, Tabitha James, Robert E. Shannon, A. D. Whittaker, G. Alan Wang, Shuguang He, Ling‐Jing Kao and Lara Khansa and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Deborah F. Cook

40 papers receiving 710 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 F. Cook United States 14 176 176 148 140 120 40 769
R. P. Heydorn United States 8 102 0.6× 220 1.3× 92 0.6× 65 0.5× 48 0.4× 18 918
Ali Zeinal Hamadani Iran 19 89 0.5× 409 2.3× 32 0.2× 67 0.5× 151 1.3× 58 1.2k
Saeed Maghsoodloo United States 19 38 0.2× 148 0.8× 159 1.1× 184 1.3× 54 0.5× 59 960
Qinming Liu China 13 202 1.1× 61 0.3× 79 0.5× 149 1.1× 59 0.5× 42 728
W.J. Kolarik United States 12 119 0.7× 156 0.9× 78 0.5× 92 0.7× 34 0.3× 30 724
Andre Kleyner United States 9 83 0.5× 199 1.1× 58 0.4× 50 0.4× 19 0.2× 26 752
Gülser Köksal Türkiye 13 76 0.4× 93 0.5× 109 0.7× 212 1.5× 90 0.8× 34 842
Melinda Hodkiewicz Australia 22 236 1.3× 141 0.8× 199 1.3× 150 1.1× 240 2.0× 95 1.2k
John H. Sheesley United States 7 68 0.4× 261 1.5× 157 1.1× 266 1.9× 24 0.2× 13 744
Hoang Pham United States 13 84 0.5× 308 1.8× 67 0.5× 36 0.3× 36 0.3× 21 1.4k

Countries citing papers authored by Deborah F. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Deborah F. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah F. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah F. Cook. A scholar is included among the top collaborators of Deborah F. Cook 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 F. Cook. Deborah F. Cook 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.
He, Shuguang, G. Alan Wang, Min Zhang, & Deborah F. Cook. (2013). Multivariate process monitoring and fault identification using multiple decision tree classifiers. International Journal of Production Research. 51(11). 3355–3371. 22 indexed citations
2.
James, Tabitha, Lara Khansa, Deborah F. Cook, & Divakaran Liginlal. (2011). Technology and U.S. Politics. IEEE Technology and Society Magazine. 30(1). 20–27. 5 indexed citations
3.
Zobel, Christopher W. & Deborah F. Cook. (2011). Evaluation of neural network variable influence measures for process control. Engineering Applications of Artificial Intelligence. 24(5). 803–812. 36 indexed citations
4.
Khansa, Lara, Tabitha James, & Deborah F. Cook. (2010). Acceptance, Use, and Influence of Political Technologies among Youth Voters in the 2008 US Presidential Election. RePEc: Research Papers in Economics. 1(4). 1–21. 1 indexed citations
5.
Cook, Deborah F., et al.. (2004). Excel-based application of data visualization techniques for process monitoring in the forest products industry.. Forest Products Journal. 54(5). 57–65. 4 indexed citations
6.
Cook, Deborah F.. (2004). Ein Reaktionares Schwein ? Political Activism and Prospects for Change in Adorno. Revue internationale de philosophie. n° 227(1). 47–67. 3 indexed citations
7.
Khandelwal, Niranjan, Mary Leigh Wolfe, Deborah F. Cook, & Christopher W. Zobel. (2004). Sensitivity Analysis in Nonpoint Source Pollution Using Neural Network Models. 2004, Ottawa, Canada August 1 - 4, 2004. 1 indexed citations
8.
Zobel, Christopher W., et al.. (2003). An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters. International Journal of Production Research. 42(4). 741–758. 24 indexed citations
9.
Cook, Deborah F., et al.. (2001). Utilization of neural networks for the recognition of variance shifts in correlated manufacturing process parameters. International Journal of Production Research. 39(17). 3881–3887. 35 indexed citations
10.
Cook, Deborah F., et al.. (2000). Combining a neural network with a genetic algorithm for process parameter optimization. Engineering Applications of Artificial Intelligence. 13(4). 391–396. 186 indexed citations
11.
Cook, Deborah F. & Chih‐Chou Chiu. (1998). Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters. IIE Transactions. 30(3). 227–234. 74 indexed citations
12.
Chiu, Chih‐Chou, et al.. (1997). Combining a neural network and a rule-based expert system for short-term load forecasting. Computers & Industrial Engineering. 32(4). 787–797. 10 indexed citations
13.
Cook, Deborah F. & Chih‐Chou Chiu. (1995). COMBINING A RADIAL BASIS NEURAL NETWORK WITH TIME SERIES ANALYSIS TECHNIQUES TO PREDICT MANUFACTURING PROCESS PARAMETERS. Applied Artificial Intelligence. 9(6). 623–631. 6 indexed citations
14.
Cook, Deborah F., et al.. (1992). A knowledge-based approach to statistical process control. Computers and Electronics in Agriculture. 7(1). 13–22. 6 indexed citations
15.
Cook, Deborah F., et al.. (1991). Expert systems branch into forest products. 38(6). 32–34. 1 indexed citations
16.
Cook, Deborah F. & Mary Leigh Wolfe. (1991). GENETIC ALGORITHM APPROACH TO A LUMBER CUTTING OPTIMIZATION PROBLEM. Cybernetics & Systems. 22(3). 357–365. 5 indexed citations
17.
Cook, Deborah F., et al.. (1991). A Neural Network to Predict Particleboard Manufacturing Process Parameters. Forest Science. 37(5). 1463–1478. 10 indexed citations
18.
Cook, Deborah F. & A. D. Whittaker. (1989). LEGAL ISSUES OF EXPERT SYSTEM USE. Applied Artificial Intelligence. 3(1). 69–81. 1 indexed citations
19.
O’Hare, Dermot & Deborah F. Cook. (1983). CHILDREN'S SENSITIVITY TO DIFFERENT MODES OF COLOUR USE IN ART. British Journal of Educational Psychology. 53(3). 267–277. 7 indexed citations
20.
Cook, Deborah F., John S. Cundiff, & D. H. Vaughan. (1982). Energy savings from air recirculation in peanut curing. 2 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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