Lorien Pratt
- Artificial Intelligence top 5%
- Neural Networks and Applications 6
- Speech Recognition and Synthesis 3
- Evolutionary Algorithms and Applications 1
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- Face and Expression Recognition 2
- Image and Signal Denoising Methods 1
- Generative Adversarial Networks and Image Synthesis 1
- Image Processing and 3D Reconstruction 1
- Signal Processing top 10%
- Media Technology top 10%
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- Big Data and Business Intelligence 1
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lorien Pratt
14 papers receiving 657 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 413
- Computer Vision and Pattern Recognition 215
- Computational Mathematics 3
- Signal Processing 49
- Media Technology 30
Countries citing papers authored by Lorien Pratt
This map shows the geographic impact of Lorien Pratt'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 Lorien Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorien Pratt more than expected).
Fields of papers citing papers by Lorien Pratt
This network shows the impact of papers produced by Lorien Pratt. 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 Lorien Pratt. The network helps show where Lorien Pratt may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Lorien Pratt, 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 | 2023 | 9 | |
| 2 | 2019 | 4 | |
| 3 | 2019 | 3 | |
| 4 | 2002 | 24 | |
| 5 | 2002 | 3 | |
| 6 | 1997 | 18 | |
| 7 | 1996 | 39 | |
| 8 | Experiments on the transfer of knowledge between neural networks | 1994 | 10 |
| 9 | 1994 | 1 | |
| 10 | Transferring previously learned back-propagation neural networks to new learning tasks | 1993 | 17 |
| 11 | Discriminability-Based Transfer between Neural Networks | 1992 | 189 |
| 12 | Information Measure Based Skeletonisation | 1991 | 6 |
| 13 | Direct transfer of learned information among neural networks | 1991 | 94 |
| 14 | Comparing Biases for Minimal Network Construction with Back-Propagation | 1988 | 279 |
About Lorien Pratt
Lorien Pratt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 14 papers that have together received 696 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Speech Recognition and Synthesis (3 papers), Face and Expression Recognition (2 papers), Big Data and Business Intelligence (1 paper), Image and Signal Denoising Methods (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Image Processing and 3D Reconstruction (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (413 citations), Computer Vision and Pattern Recognition (215 citations) and Computational Mathematics (3 citations). Lorien Pratt has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen José Hanson, Jack Mostow, Candace Kamm, Barbara Jennings, Sebastian Thrun and Thierry Warin. Their work appears in journals such as Futures, Machine Learning, Connection Science, Forensic Science International and Conference on Learning Theory.
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.