Boris Ginsburg
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Genetics
- Small Animals top 10%
- Co-authors
- Vitaly LavrukhinOleksii KuchaievSomshubra MajumdarJason LiR. Bret LearyStanislav BeliaevSamuel KrimanJocelyn Huang
- Topics
- Speech Recognition and Synthesis (50 papers)Natural Language Processing Techniques (25 papers)Speech and Audio Processing (23 papers)
- Journals
- Journal of Chemical Information and ModelingComputer Methods in Biomechanics and Biomedical Engineering Imaging & VisualizationarXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Boris Ginsburg
57 papers receiving 894 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 678
- Signal Processing 391
- Computer Vision and Pattern Recognition 154
- Genetics 85
- Small Animals 50
Countries citing papers authored by Boris Ginsburg
This map shows the geographic impact of Boris Ginsburg'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 Boris Ginsburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Ginsburg more than expected).
Fields of papers citing papers by Boris Ginsburg
This network shows the impact of papers produced by Boris Ginsburg. 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 Boris Ginsburg. The network helps show where Boris Ginsburg may publish in the future.
Co-authorship network of co-authors of Boris Ginsburg
This figure shows the co-authorship network connecting the top 25 collaborators of Boris Ginsburg. A scholar is included among the top collaborators of Boris Ginsburg 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 Boris Ginsburg. Boris Ginsburg 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 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 45 | |
| 14 | 149 | |
| 15 | 57 | |
| 16 | 117 | |
| 17 | Spatially Parallel Convolutions. | 3 |
| 18 | Factorization tricks for LSTM networks | 9 |
| 19 | On Improving the Numerical Stability of Winograd Convolutions | 12 |
| 20 | Mixed Precision Training | 62 |
About Boris Ginsburg
Boris Ginsburg is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 972 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (50 papers), Natural Language Processing Techniques (25 papers) and Speech and Audio Processing (23 papers). The work is most often cited by research in Signal Processing (391 citations), Artificial Intelligence (678 citations) and Computer Vision and Pattern Recognition (154 citations). Boris Ginsburg has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Vitaly Lavrukhin, Oleksii Kuchaiev, Somshubra Majumdar, Jason Li, R. Bret Leary, Stanislav Beliaev, Samuel Kriman, Jocelyn Huang, Taejin Park and Yang Zhang. Their work appears in journals such as Journal of Chemical Information and Modeling, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization 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.