Scott Dick

3.6k total citations
93 papers, 2.7k citations indexed

About

Scott Dick is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Scott Dick has authored 93 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 24 papers in Information Systems and 13 papers in Computational Theory and Mathematics. Recurrent topics in Scott Dick's work include Fuzzy Logic and Control Systems (29 papers), Neural Networks and Applications (24 papers) and Software Reliability and Analysis Research (10 papers). Scott Dick is often cited by papers focused on Fuzzy Logic and Control Systems (29 papers), Neural Networks and Applications (24 papers) and Software Reliability and Analysis Research (10 papers). Scott Dick collaborates with scholars based in Canada, United States and Switzerland. Scott Dick's co-authors include Omolbanin Yazdanbakhsh, Wilsun Xu, Lukasz Kurgan, James Miller, Li Ding, Kanaka Durga Kedarisetti, James Miller, Ronald R. Yager, Abraham Kandel and Warren W. Wakarchuk and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Cardiovascular Research.

In The Last Decade

Scott Dick

92 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Dick Canada	27	923	662	495	423	409	93	2.7k
Marek Reformat Canada	23	1.2k 1.3×	474 0.7×	410 0.8×	103 0.2×	376 0.9×	152	2.2k
Luciano Sánchez Spain	30	4.0k 4.4×	563 0.9×	674 1.4×	197 0.5×	802 2.0×	160	5.8k
David B. Shmoys United States	44	864 0.9×	1.1k 1.6×	449 0.9×	98 0.2×	601 1.5×	124	8.4k
Defu Zhang China	39	961 1.0×	576 0.9×	321 0.6×	162 0.4×	287 0.7×	150	5.0k
John R. Woodward United Kingdom	27	681 0.7×	112 0.2×	311 0.6×	373 0.9×	218 0.5×	115	2.3k
Jane Hillston United Kingdom	21	572 0.6×	292 0.4×	270 0.5×	577 1.4×	109 0.3×	140	2.3k
Jan Karel Lenstra Netherlands	38	1.2k 1.3×	1.5k 2.3×	264 0.5×	108 0.3×	558 1.4×	124	9.4k
Jianye Hao China	27	1.0k 1.1×	153 0.2×	317 0.6×	362 0.9×	313 0.8×	184	2.7k
Gabriela Ochoa United Kingdom	27	1.3k 1.4×	403 0.6×	175 0.4×	170 0.4×	79 0.2×	120	3.0k
Wei Fan China	28	1.5k 1.6×	87 0.1×	538 1.1×	156 0.4×	218 0.5×	95	3.4k

Countries citing papers authored by Scott Dick

Since Specialization

Citations

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

Fields of papers citing papers by Scott Dick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Dick

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiao, Jun, et al.. (2024). Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms. 17(3). 114–114. 2 indexed citations

Dick, Scott, et al.. (2023). An investigation of complex fuzzy sets for large-scale learning. Fuzzy Sets and Systems. 471. 108660–108660. 17 indexed citations

Dick, Scott, et al.. (2023). Condition Monitoring and Fault Detection in Small Induction Motors Using Machine Learning Algorithms. Information. 14(6). 329–329. 14 indexed citations

Ryan, T.G., et al.. (2023). Condition Monitoring of Underground Power Cables Via Power-Line Modems and Anomaly Detection. IEEE Transactions on Power Delivery. 39(1). 3–12. 5 indexed citations

Ding, Li & Scott Dick. (2022). Semi-supervised multi-label classification using an extended graph-based manifold regularization. Complex & Intelligent Systems. 8(2). 1561–1577. 5 indexed citations

Ding, Li & Scott Dick. (2020). Non-intrusive load monitoring using multi-label classification methods. Electrical Engineering. 103(1). 607–619. 15 indexed citations

Yazdanbakhsh, Omolbanin & Scott Dick. (2017). A systematic review of complex fuzzy sets and logic. Fuzzy Sets and Systems. 338. 1–22. 168 indexed citations

Yazdanbakhsh, Omolbanin, Yu Zhou, & Scott Dick. (2016). An intelligent system for livestock disease surveillance. Information Sciences. 378. 26–47. 28 indexed citations

Dick, Scott, et al.. (2014). An investigation of implicit features in compression-based learning for comparing webpages. Pattern Analysis and Applications. 19(2). 397–410. 2 indexed citations

10.

Kurgan, Lukasz, et al.. (2009). CRYSTALP2: sequence-based protein crystallization propensity prediction. BMC Structural Biology. 9(1). 50–50. 67 indexed citations

11.

Dick, Scott, et al.. (2007). Applying Novel Resampling Strategies To Software Defect Prediction. 69–72. 124 indexed citations

12.

Dick, Scott, et al.. (2007). P3P Adoption on E-Commerce Web sites: A Survey and Analysis. IEEE Internet Computing. 11(2). 65–71. 23 indexed citations

13.

Kurgan, Lukasz, Krzysztof J. Cios, & Scott Dick. (2006). Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(1). 32–53. 24 indexed citations

14.

Kedarisetti, Kanaka Durga, Lukasz Kurgan, & Scott Dick. (2006). Classifier ensembles for protein structural class prediction with varying homology. Biochemical and Biophysical Research Communications. 348(3). 981–988. 143 indexed citations

15.

Schoenhofen, Ian C., David J. McNally, Evgeny Vinogradov, et al.. (2005). Functional Characterization of Dehydratase/Aminotransferase Pairs from Helicobacter and Campylobacter. Journal of Biological Chemistry. 281(2). 723–732. 136 indexed citations

16.

Chou, Wayne, Scott Dick, Warren W. Wakarchuk, & Martin E. Tanner. (2005). Identification and Characterization of NeuB3 from Campylobacter jejuni as a Pseudaminic Acid Synthase. Journal of Biological Chemistry. 280(43). 35922–35928. 60 indexed citations

17.

Volkova, Maria, Richa Garg, Scott Dick, & Kenneth R. Boheler. (2004). Aging-associated changes in cardiac gene expression. Cardiovascular Research. 66(2). 194–204. 34 indexed citations

18.

Dick, Scott, Stefan Siemann, Harold E. Frey, James R. Lepock, & Thammaiah Viswanatha. (2002). Recombinant lysine:N6-hydroxylase: effect of cysteine→alanine replacements on structural integrity and catalytic competence. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1594(2). 219–233. 4 indexed citations

19.

Dick, Scott, et al.. (1999). Lysine: N6-Hydroxylase: Stability and Interaction with Ligands. Journal of Protein Chemistry. 18(8). 893–903. 9 indexed citations

20.

Esser, K., Scott Dick, & W. Gielen. (1964). Die Phenoloxydasen des Ascomyceten Podospora anserina. Archives of Microbiology. 48(3). 306–318. 41 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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