Carlton Downey
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Experimental and Cognitive Psychology
- Topics
- Evolutionary Algorithms and Applications (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)
- Journals
- Genetic Programming and Evolvable MachinesANU Open Research (Australian National University)arXiv (Cornell University)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Carlton Downey
13 papers receiving 203 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 201
- Signal Processing 136
- Computer Vision and Pattern Recognition 19
- Molecular Biology 10
- Experimental and Cognitive Psychology 7
Countries citing papers authored by Carlton Downey
This map shows the geographic impact of Carlton Downey'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 Carlton Downey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlton Downey more than expected).
Fields of papers citing papers by Carlton Downey
This network shows the impact of papers produced by Carlton Downey. 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 Carlton Downey. The network helps show where Carlton Downey may publish in the future.
Co-authorship network of co-authors of Carlton Downey
This figure shows the co-authorship network connecting the top 25 collaborators of Carlton Downey. A scholar is included among the top collaborators of Carlton Downey 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 Carlton Downey. Carlton Downey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Learning and Inference in Hilbert Space with Quantum Graphical Models | 1 |
| 4 | Initialization matters: Orthogonal Predictive State Recurrent Neural Networks | 6 |
| 5 | 163 | |
| 6 | Supervised Learning for Dynamical System Learning. | 6 |
| 7 | A New View of Predictive State Methods for Dynamical System Learning. | 1 |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda | 12 |
| 12 | 11 | |
| 13 | 4 |
About Carlton Downey
Carlton Downey is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cultural Studies, having authored 13 papers that have together received 217 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Signal Processing (136 citations), Artificial Intelligence (201 citations) and Computer Vision and Pattern Recognition (19 citations). Carlton Downey has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Li Wan, Quan Wang, P. Mansfield, Jun Zhang, Scott Sanner, Will N. Browne, Mengjie Zhang, Jing Liu, Geoffrey J. Gordon and Krzysztof Choromański. Their work appears in journals such as Genetic Programming and Evolvable Machines, ANU Open Research (Australian National University) and arXiv (Cornell University).
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.