Kate Smith‐Miles

11.1k citations
213 papers · 6.4k indexed · 2 hit papers · h-index 40
Topics
Metaheuristic Optimization Algorithms Research (24 papers)Water Systems and Optimization (22 papers)Machine Learning and Data Classification (19 papers)

In The Last Decade

Kate Smith‐Miles

200 papers receiving 6.1k citations

Hit Papers

Automatic Age Estimation Based on Facial Aging Patterns200620262012201920072006200400600

Peers

Kate Smith‐Miles
Comparison fields: 5 of 199
  • Artificial Intelligence 2.2k
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 799
  • Industrial and Manufacturing Engineering 774
  • Management Science and Operations Research 740
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 6
5 7
6 20
7 16
8 10
9 7
10
Instance Space Analysis for Unsupervised Outlier Detection
3
11 18
12 6
13
Stochastic scheduling of an automated two-machine robotic cell with in-process inspection system
1
14
Generalising algorithm performance in instance space: A timetabling case study
1
15
Distance-driven Fusion of Gait and Face for Human Identification in Video
5
16
Adaptive spike detection for resilient data stream mining
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17 17
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A self-organising neural network with intermittent switching dynamics for combinatorial optimisation
1
19
Improving risk grouping rules for prostate cancer patients using self-organising maps
6
20
Matching SVM kernel's suitability to data characteristics using tree by fuzzy C-means clustering
4

About Kate Smith‐Miles

Kate Smith‐Miles is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 213 papers that have together received 6.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Water Systems and Optimization (22 papers) and Machine Learning and Data Classification (19 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (774 citations), Signal Processing (799 citations) and Artificial Intelligence (2.2k citations). Kate Smith‐Miles has collaborated with scholars based in Australia, China and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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