T. Downs

907 citations
48 papers · 690 · h-index 14

Impact in

    • Neural Networks and Applications
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Machine Learning and ELM
  • Software top 10%

Papers in

T. Downs

40 papers receiving 628 citations

Peers

T. Downs
Comparison fields: 5 of 83
  • Artificial Intelligence 412
  • Software 43
  • Computer Vision and Pattern Recognition 197
  • Safety, Risk, Reliability and Quality 62
  • Management Science and Operations Research 76
Replace Chris Price with:
Chris Price United Kingdom
Md. Monirul Islam Bangladesh
I C G Campbell
David Escudero García Spain
Fei Yan China
Sukhamay Kundu United States
Dazhi Wang China
S. Somasundaram India
Fabian Moerchen United States
T. Downs relative to Chris Price United Kingdom Chris Price's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. Downs

Since Specialization
Citations

This map shows the geographic impact of T. Downs'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 T. Downs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Downs more than expected).

Fields of papers citing papers by T. Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Downs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Downs Line = papers co-authored together T. Downs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002159
2 199370
3
Real-valued evolutionary optimization using a flexible probability density estimator
199966
4
General cost functions for support vector regression.
199862
5
Evaluation of support vector machine based forecasting tool in electricity price forecasting for Australian national electricity market participants
200244
6 197841
7 199231
8 200328
9 199828
10
Support Vector methods in learning and feature extraction
199824
11
A modified particle filter for simultaneous robot localization and landmark tracking in an indoor environment
200414
12
Support vector machine based electricity price forecasting for electricity markets utilising projected assessment of system adequacy data
200313
13 199213
14 200413
15 200410
16 19919
17 20026
18 20036
19 20005
20 19805

About T. Downs

T. Downs is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Management Science and Operations Research and Computational Theory and Mathematics, having authored 48 papers that have together received 690 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Face and Expression Recognition (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Control Systems and Identification (5 papers), Machine Learning and ELM (5 papers), Stock Market Forecasting Methods (4 papers), Fuzzy Logic and Control Systems (4 papers) and Reliability and Maintenance Optimization (4 papers). The work is most often cited by research in Artificial Intelligence (412 citations), Software (43 citations), Computer Vision and Pattern Recognition (197 citations), Safety, Risk, Reliability and Quality (62 citations) and Management Science and Operations Research (76 citations). T. Downs has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include K. E. Gates, Marcus Gallagher, Marcus Frean, N.J. Redding, Adam Kowalczyk, Steven R. Young, Tapan Kumar Saha, Bernhard Schölkopf, K-R Müller and AJ Smola. Their work appears in journals such as IEEE Transactions on Reliability, The American Statistician, Neural Networks, Electronics Letters and International Journal of Systems Science.

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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