Brian Kingsbury
- Artificial Intelligence top 0.05%
- Signal Processing top 0.02%
- Computer Vision and Pattern Recognition top 0.2%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Tara N. SainathAbdelrahman MohamedGeoffrey E. HintonLi DengGeorge E. DahlDong YuPatrick NguyenAndrew Senior
- Topics
- Speech Recognition and Synthesis (111 papers)Speech and Audio Processing (73 papers)Music and Audio Processing (60 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Brian Kingsbury
133 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Artificial Intelligence 9.3k
- Signal Processing 6.0k
- Computer Vision and Pattern Recognition 2.7k
- Electrical and Electronic Engineering 1.1k
- Cognitive Neuroscience 559
Countries citing papers authored by Brian Kingsbury
This map shows the geographic impact of Brian Kingsbury'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 Brian Kingsbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Kingsbury more than expected).
Fields of papers citing papers by Brian Kingsbury
This network shows the impact of papers produced by Brian Kingsbury. 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 Brian Kingsbury. The network helps show where Brian Kingsbury may publish in the future.
Co-authorship network of co-authors of Brian Kingsbury
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Kingsbury. A scholar is included among the top collaborators of Brian Kingsbury 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 Brian Kingsbury. Brian Kingsbury 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 46 | |
| 7 | 4 | |
| 8 | Beyond Backprop: Alternating Minimization with co-Activation Memory. | 4 |
| 9 | 139 | |
| 10 | 10 | |
| 11 | 63 | |
| 12 | Deep Convolutional Neural Networks for Large-scale Speech Tasksbreakdown → | 364 |
| 13 | Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targetsbreakdown → | 344 |
| 14 | Deep convolutional neural networks for LVCSRbreakdown → | 723 |
| 15 | Deep Neural Networks for Acoustic Modeling in Speech Recognitionbreakdown → | 1169 |
| 16 | 138 | |
| 17 | 22 | |
| 18 | 250 | |
| 19 | Perceptually inspired signal processing strategies for robust speech recognition in reverberant environments | 40 |
| 20 | T0: A Single-Chip Vector Microprocessor with Reconfigurable Pipelines | 11 |
About Brian Kingsbury
Brian Kingsbury is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 137 papers that have together received 14.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (111 papers), Speech and Audio Processing (73 papers) and Music and Audio Processing (60 papers). The work is most often cited by research in Signal Processing (6.0k citations), Artificial Intelligence (9.3k citations) and Computer Vision and Pattern Recognition (2.7k citations). Brian Kingsbury has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Tara N. Sainath, Abdelrahman Mohamed, Geoffrey E. Hinton, Li Deng, George E. Dahl, Dong Yu, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke and Navdeep Jaitly. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer and IEEE Signal Processing Magazine.
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.