T. Downs
- Artificial Intelligence top 5%
- Neural Networks and Applications 14
- Machine Learning and ELM 5
- Metaheuristic Optimization Algorithms Research 5
- Machine Learning and Algorithms 3
- Software top 10%
- Software Reliability and Analysis Research 3
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- Face and Expression Recognition 5
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- Reliability and Maintenance Optimization 3
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- Control Systems and Identification 4
- Co-authors
- K. E. GatesMarcus GallagherMarcus FreanTapan Kumar SahaN.J. ReddingAdam KowalczykBernhard SchölkopfSteven R. Young
- Journals
- IEEE Transactions on Reliability (3 papers)Neural Networks (2 papers)The American Statistician (2 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
T. Downs
33 papers receiving 515 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 326
- Software 35
- Computer Vision and Pattern Recognition 170
- Safety, Risk, Reliability and Quality 50
- Management Science and Operations Research 63
Countries citing papers authored by T. Downs
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
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-authorship network
The 24 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A modified particle filter for simultaneous robot localization and landmark tracking in an indoor environment | 2004 | 12 |
| 2 | 2004 | 13 | |
| 3 | Support vector machine based electricity price forecasting for electricity markets utilising projected assessment of system adequacy data | 2003 | 12 |
| 4 | 2003 | 1 | |
| 5 | 2003 | 24 | |
| 6 | 2003 | 0 | |
| 7 | Evaluation of support vector machine based forecasting tool in electricity price forecasting for Australian national electricity market participants | 2002 | 43 |
| 8 | 2002 | 133 | |
| 9 | 2002 | 1 | |
| 10 | Real-valued evolutionary optimization using a flexible probability density estimator | 1999 | 51 |
| 11 | Support Vector methods in learning and feature extraction | 1998 | 21 |
| 12 | General cost functions for support vector regression. | 1998 | 58 |
| 13 | 1998 | 24 | |
| 14 | 1995 | 4 | |
| 15 | 1993 | 1 | |
| 16 | 1993 | 3 | |
| 17 | 1992 | 31 | |
| 18 | Learning in Feedforward Networks with Nonsmooth Functions | 1991 | 2 |
| 19 | 1991 | 1 | |
| 20 | 1978 | 0 |
About T. Downs
T. Downs is a scholar working on Software, Artificial Intelligence, Medical Laboratory Technology, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 569 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Machine Learning and ELM (5 papers), Face and Expression Recognition (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Control Systems and Identification (4 papers), Machine Learning and Algorithms (3 papers), Reliability and Maintenance Optimization (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Artificial Intelligence (326 citations), Software (35 citations), Computer Vision and Pattern Recognition (170 citations), Safety, Risk, Reliability and Quality (50 citations) and Management Science and Operations Research (63 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, Tapan Kumar Saha, N.J. Redding, Adam Kowalczyk, Bernhard Schölkopf, Steven R. Young, K-R Müller and AJ Smola. Their work appears in journals such as IEEE Transactions on Reliability, Neural Networks, The American Statistician, Neurocomputing and Mathematical and Computer Modelling.
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.