Kate Smith‐Miles

11.1k total citations · 2 hit papers
213 papers, 6.4k citations indexed

About

Kate Smith‐Miles is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Kate Smith‐Miles has authored 213 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 28 papers in Computational Theory and Mathematics. Recurrent topics in Kate Smith‐Miles's work include Metaheuristic Optimization Algorithms Research (24 papers), Water Systems and Optimization (22 papers) and Machine Learning and Data Classification (19 papers). Kate Smith‐Miles is often cited by papers focused on Metaheuristic Optimization Algorithms Research (24 papers), Water Systems and Optimization (22 papers) and Machine Learning and Data Classification (19 papers). Kate Smith‐Miles collaborates with scholars based in Australia, China and United Kingdom. Kate Smith‐Miles's co-authors include Xin Geng, Zhi‐Hua Zhou, Rob J. Hyndman, Xiaozhe Wang, Shawkat Ali, Shuming Liu, Jatinder N.D. Gupta, Mario Andrés Muñoz, Mehdi Foumani and Leo Lopes and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kate Smith‐Miles

200 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic Age Estimation Based on Facial Aging Patterns

2007 666 citations Xin Geng, Kate Smith‐Miles et al. profile →
Characteristic-Based Clustering for Time Series Data

2006 425 citations Kate Smith‐Miles et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate Smith‐Miles Australia	40	2.2k	1.2k	799	774	740	213	6.4k
George C. Runger United States	48	1.5k 0.7×	445 0.4×	872 1.1×	879 1.1×	952 1.3×	183	10.7k
Darrell Whitley United States	31	3.2k 1.4×	559 0.4×	337 0.4×	608 0.8×	305 0.4×	143	7.6k
Wu Deng China	47	3.0k 1.3×	1.1k 0.9×	241 0.3×	950 1.2×	348 0.5×	153	8.8k
Wei‐Chiang Hong Taiwan	52	2.1k 1.0×	810 0.6×	432 0.5×	299 0.4×	2.7k 3.7×	165	8.7k
Mohammed Azmi Al‐Betar Jordan	52	4.4k 2.0×	1.0k 0.8×	526 0.7×	859 1.1×	632 0.9×	265	9.1k
Václav Snåšel Czechia	38	2.7k 1.2×	907 0.7×	516 0.6×	359 0.5×	391 0.5×	572	7.4k
Oded Maimon Israel	32	2.4k 1.1×	663 0.5×	503 0.6×	919 1.2×	363 0.5×	136	6.8k
Ahmed A. Ewees Egypt	48	4.5k 2.1×	1.5k 1.2×	226 0.3×	419 0.5×	517 0.7×	152	8.6k
Mohammed A. A. Al‐qaness China	44	3.2k 1.4×	1.2k 1.0×	520 0.7×	296 0.4×	274 0.4×	174	7.1k
Sancho Salcedo‐Sanz Spain	50	3.5k 1.6×	513 0.4×	218 0.3×	580 0.7×	565 0.8×	371	9.5k

Countries citing papers authored by Kate Smith‐Miles

Since Specialization

Citations

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

Fields of papers citing papers by Kate Smith‐Miles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Smith‐Miles. 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 Kate Smith‐Miles. The network helps show where Kate Smith‐Miles may publish in the future.

Co-authorship network of co-authors of Kate Smith‐Miles

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Smith‐Miles. A scholar is included among the top collaborators of Kate Smith‐Miles 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 Kate Smith‐Miles. Kate Smith‐Miles 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

Smith‐Miles, Kate, et al.. (2025). A block-building constraint programming model for the container loading problem. Computers & Operations Research. 182. 107111–107111.

Muñoz, Mario Andrés, et al.. (2024). Characterising harmful data sources when constructing multi-fidelity surrogate models. Artificial Intelligence. 336. 104207–104207. 1 indexed citations

Smith‐Miles, Kate, et al.. (2024). Extending Instance Space Analysis to Algorithm Configuration Spaces. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 147–150.

Kirley, Michael, et al.. (2023). Bayesian coarsening: rapid tuning of polymer model parameters. Rheologica Acta. 62(10). 477–490. 6 indexed citations

Smith‐Miles, Kate, et al.. (2023). Instance space analysis for 2D bin packing mathematical models. European Journal of Operational Research. 315(2). 484–498. 7 indexed citations

Larson, Ronald G., et al.. (2022). A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer. npj Computational Materials. 8(1). 20 indexed citations

Muñoz, Mario Andrés, et al.. (2022). Enhanced instance space analysis for the maximum flow problem. European Journal of Operational Research. 304(2). 411–428. 16 indexed citations

Smith‐Miles, Kate, et al.. (2022). Instance Space Analysis of Search-Based Software Testing. IEEE Transactions on Software Engineering. 49(4). 2642–2660. 10 indexed citations

Lorena, Ana Carolina, et al.. (2021). Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. Algorithms. 14(3). 95–95. 7 indexed citations

10.

Kandanaarachchi, Sevvandi, Mario Andrés Muñoz, & Kate Smith‐Miles. (2019). Instance Space Analysis for Unsupervised Outlier Detection. Monash University Research Portal (Monash University). 3 indexed citations

11.

Aleti, Aldeida, et al.. (2018). Mapping the Effectiveness of Automated Test Suite Generation Techniques. IEEE Transactions on Reliability. 67(3). 771–785. 18 indexed citations

12.

Lewis, Rhyd & Kate Smith‐Miles. (2018). A heuristic algorithm for finding cost-effective solutions to real-world school bus routing problems. Journal of Discrete Algorithms. 52-53. 2–17. 6 indexed citations

13.

Foumani, Mehdi, et al.. (2015). Stochastic scheduling of an automated two-machine robotic cell with in-process inspection system. FedUni ResearchOnline (Federation University Australia). 528–535. 1 indexed citations

14.

Smith‐Miles, Kate, et al.. (2011). Generalising algorithm performance in instance space: A timetabling case study. Lecture notes in computer science. 1 indexed citations

15.

Geng, Xin, Liang Wang, Ming Li, Qiang Wu, & Kate Smith‐Miles. (2007). Distance-driven Fusion of Gait and Face for Human Identification in Video. UTS ePRESS (University of Technology Sydney). 19–24. 5 indexed citations

16.

Phua, Clifton, Kate Smith‐Miles, Vincent Lee, & Ross W. Gayler. (2007). Adaptive spike detection for resilient data stream mining. Deakin Research Online (Deakin University). 70. 181–188. 11 indexed citations

17.

Black, Jim, Geza Benke, Kate Smith‐Miles, & Lin Fritschi. (2004). Artificial Neural Networks and Job-specific Modules to Assess Occupational Exposure. The Annals of Occupational Hygiene. 48(7). 595–600. 17 indexed citations

18.

Smith‐Miles, Kate, et al.. (2003). A self-organising neural network with intermittent switching dynamics for combinatorial optimisation. 104. 13–21. 1 indexed citations

19.

Schwartz, Daniel, Kate Smith‐Miles, Leonid Churilov, Michael Dally, & Richard W. Weber. (2003). Improving risk grouping rules for prostate cancer patients using self-organising maps. 104. 126–135. 6 indexed citations

20.

Ali, Shawkat & Kate Smith‐Miles. (2003). Matching SVM kernel's suitability to data characteristics using tree by fuzzy C-means clustering. 104. 553–562. 4 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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