Carlton Downey

526 total citations
13 papers, 217 citations indexed

About

Carlton Downey is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Carlton Downey has authored 13 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Carlton Downey's 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). Carlton Downey is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Carlton Downey collaborates with scholars based in New Zealand, United States and Australia. Carlton Downey's co-authors include Quan Wang, Li Wan, P. Mansfield, Jun Zhang, Scott Sanner, Will N. Browne, Mengjie Zhang, Jing Liu, Byron Boots and Geoffrey J. Gordon and has published in prestigious journals such as Genetic Programming and Evolvable Machines, ANU Open Research (Australian National University) and PubMed.

In The Last Decade

Carlton Downey

13 papers receiving 203 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlton Downey New Zealand 6 201 136 19 10 7 13 217
Tomoyosi Akiba Japan 8 230 1.1× 67 0.5× 24 1.3× 3 0.3× 6 0.9× 55 248
Ahmad Emami United States 11 301 1.5× 74 0.5× 16 0.8× 4 0.4× 4 0.6× 18 311
Desh Raj United States 10 224 1.1× 182 1.3× 11 0.6× 16 1.6× 1 0.1× 27 279
Ilya Oparin France 8 263 1.3× 51 0.4× 56 2.9× 4 0.4× 6 0.9× 14 302
Klaus Macherey Germany 9 534 2.7× 192 1.4× 57 3.0× 11 1.1× 17 2.4× 13 550
Sebastian Stüker Germany 8 235 1.2× 49 0.4× 57 3.0× 6 0.6× 5 0.7× 16 248
Y.-L. Chow United States 6 161 0.8× 102 0.8× 44 2.3× 17 1.7× 6 0.9× 9 192
Albert Sanchís Spain 11 293 1.5× 67 0.5× 52 2.7× 8 0.8× 6 0.9× 27 327
Upendra V. Chaudhari United States 11 280 1.4× 206 1.5× 14 0.7× 4 0.4× 3 0.4× 27 299

Countries citing papers authored by Carlton Downey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Downey, Carlton, et al.. (2023). Learning to translate by learning to communicate. 218–238. 1 indexed citations
2.
Downey, Carlton, et al.. (2022). Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5331–5346. 1 indexed citations
3.
Downey, Carlton, et al.. (2018). Learning and Inference in Hilbert Space with Quantum Graphical Models. arXiv (Cornell University). 31. 10338–10347. 1 indexed citations
4.
Choromański, Krzysztof, Carlton Downey, & Byron Boots. (2018). Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. International Conference on Learning Representations. 6 indexed citations
5.
Wang, Quan, et al.. (2018). Speaker Diarization with LSTM. 5239–5243. 163 indexed citations
6.
Hefny, Ahmed, Carlton Downey, & Geoffrey J. Gordon. (2015). Supervised Learning for Dynamical System Learning.. PubMed. 28. 1954–1962. 6 indexed citations
7.
Hefny, Ahmed, Carlton Downey, & Geoffrey J. Gordon. (2015). A New View of Predictive State Methods for Dynamical System Learning.. 1 indexed citations
8.
Downey, Carlton, Mengjie Zhang, & Jing Liu. (2012). Parallel linear genetic programming for multi-class classification. Genetic Programming and Evolvable Machines. 13(3). 275–304. 8 indexed citations
9.
Downey, Carlton & Jun Zhang. (2011). Execution trace caching for Linear Genetic Programming. 1186–1193. 2 indexed citations
10.
Downey, Carlton & Mengjie Zhang. (2011). Caching for parallel linear genetic programming. 201–202. 1 indexed citations
11.
Downey, Carlton & Scott Sanner. (2010). Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. ANU Open Research (Australian National University). 311–318. 12 indexed citations
12.
Downey, Carlton, Jun Zhang, & Will N. Browne. (2010). New crossover operators in linear genetic programming for multiclass object classification. 885–892. 11 indexed citations
13.
Downey, Carlton & Jun Zhang. (2009). Multiclass object classification for computer vision using Linear Genetic Programming. 3447 2005. 73–78. 4 indexed citations

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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