Jeff Bilmes
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 0.2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Machine Learning and Algorithms
Papers in
-
- Speech Recognition and Synthesis 49
- Machine Learning and Algorithms 37
- Natural Language Processing Techniques 36
- Topic Modeling 28
- Algorithms and Data Compression 17
-
- Speech and Audio Processing 36
- Music and Audio Processing 26
- Co-authors
- Hui Lin (11 shared papers)Karen Livescu (4 shared papers)Raman Arora (3 shared papers)Katrin Kirchhoff (22 shared papers)Galen Andrew (2 shared papers)Rishabh Iyer (18 shared papers)William Stafford Noble (16 shared papers)Weiran Wang (2 shared papers)
- Journals
- Computer Speech & Language (8 papers)Bioinformatics (4 papers)Journal of Machine Learning Research (2 papers)PLoS Computational Biology (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jeff Bilmes
209 papers receiving 6.7k citations
Jeff Bilmes's Hit Papers
Peers
Comparison fields: 5 of 171
- Signal Processing 1.3k
- Artificial Intelligence 4.0k
- Computer Vision and Pattern Recognition 1.7k
- Hardware and Architecture 451
- Computational Theory and Mathematics 756
Countries citing papers authored by Jeff Bilmes
This map shows the geographic impact of Jeff Bilmes'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 Jeff Bilmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Bilmes more than expected).
Fields of papers citing papers by Jeff Bilmes
This network shows the impact of papers produced by Jeff Bilmes. 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 Jeff Bilmes. The network helps show where Jeff Bilmes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Bilmes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Canonical Correlation Analysis Hit paper breakdown → | 2013 | 873 |
| 2 | On Deep Multi-View Representation Learning Hit paper breakdown → | 2015 | 408 |
| 3 | 2012 | 401 | |
| 4 | A Class of Submodular Functions for Document Summarization Hit paper breakdown → | 2011 | 398 |
| 5 | 1997 | 276 | |
| 6 | Multi-document Summarization via Budgeted Maximization of Submodular Functions | 2010 | 247 |
| 7 | 2003 | 217 | |
| 8 | 2008 | 212 | |
| 9 | 2006 | 160 | |
| 10 | 2002 | 146 | |
| 11 | Submodularity in Data Subset Selection and Active Learning | 2015 | 115 |
| 12 | 2011 | 111 | |
| 13 | 2013 | 104 | |
| 14 | 2015 | 92 | |
| 15 | 2014 | 90 | |
| 16 | Learning Mixtures of Submodular Functions for Image Collection Summarization | 2014 | 83 |
| 17 | 2006 | 79 | |
| 18 | 2004 | 70 | |
| 19 | 2005 | 70 | |
| 20 | 2002 | 67 |
About Jeff Bilmes
Jeff Bilmes is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 213 papers that have together received 7.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (49 papers), Machine Learning and Algorithms (37 papers), Natural Language Processing Techniques (36 papers), Speech and Audio Processing (36 papers), Topic Modeling (28 papers), Music and Audio Processing (26 papers), Complexity and Algorithms in Graphs (21 papers) and Algorithms and Data Compression (17 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (4.0k citations), Computer Vision and Pattern Recognition (1.7k citations), Hardware and Architecture (451 citations) and Computational Theory and Mathematics (756 citations). Jeff Bilmes has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Hui Lin, Karen Livescu, Raman Arora, Katrin Kirchhoff, Galen Andrew, Rishabh Iyer, William Stafford Noble, Weiran Wang, Amarnag Subramanya and Chia-Ping Chen. Their work appears in journals such as Computer Speech & Language, Bioinformatics, Journal of Machine Learning Research, PLoS Computational Biology and Journal of Proteome Research.
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.