T. Downs

5.1k citations
63 papers · 762 · h-index 13

Impact in

    • Neural Networks and Applications
    • Machine Learning and ELM
    • Machine Learning and Data Classification
    • Metaheuristic Optimization Algorithms Research
    • Machine Learning and Algorithms
    • Stochastic Gradient Optimization Techniques
  • Software top 10%
    • Software Reliability and Analysis Research

Papers in

T. Downs

54 papers receiving 686 citations

Peers

T. Downs
Comparison fields: 5 of 70
  • Artificial Intelligence 341
  • Software 44
  • Safety, Risk, Reliability and Quality 58
  • Computer Vision and Pattern Recognition 71
  • Computational Theory and Mathematics 48
Replace Daniel J. Clancy with:
Daniel J. Clancy United States
M. Kraetzl Australia
Ari Jónsson United States
Michel D. Ingham United States
Franz R. Pichler Austria
J. J. Stiffler United States
Francisco Javier Cazorla Spain
James L. Rash United States
Philippe O. A. Navaux Brazil
Purushottam Kar India
T. Downs relative to Daniel J. Clancy United States Daniel J. Clancy's profile →
Citations per field
00.5×2×3×4×4.5×
Daniel J. Clancy · 1×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002159
2
Real-valued evolutionary optimization using a flexible probability density estimator
199960
3
General cost functions for support vector regression.
199857
4
Evaluation of support vector machine based forecasting tool in electricity price forecasting for Australian national electricity market participants
200345
5 197841
6 199231
7 199830
8 200330
9
Support Vector methods in learning and feature extraction
199825
10 198520
11 199718
12 197917
13 199213
14
Support vector machine based electricity price forecasting for electricity markets utilising projected assessment of system adequacy data
200313
15 200413
16
A modified particle filter for simultaneous robot localization and landmark tracking in an indoor environment
200413
17 200511
18 197110
19 197910
20 200410

About T. Downs

T. Downs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Safety, Risk, Reliability and Quality, Software and Electrical and Electronic Engineering, having authored 63 papers that have together received 762 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Matrix Theory and Algorithms (8 papers), Reliability and Maintenance Optimization (7 papers), Engineering and Technology Innovations (5 papers), Analog and Mixed-Signal Circuit Design (4 papers), Software Reliability and Analysis Research (4 papers), Low-power high-performance VLSI design (3 papers) and Advanced Queuing Theory Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (341 citations), Software (44 citations), Safety, Risk, Reliability and Quality (58 citations), Computer Vision and Pattern Recognition (71 citations) and Computational Theory and Mathematics (48 citations). T. Downs has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Kevin E. Gates, Marcus Gallagher, Marcus R. Frean, Tapan Kumar Saha, Bernhard Schölkopf, D. Manfield, K-R Müller, AJ Smola, Ravishankar K. Iyer and David R. Lovell. Their work appears in journals such as IEEE Transactions on Reliability, Electronics Letters, Mathematics of Computation, IEEE Transactions on Software Engineering and Linear Algebra and its Applications.

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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