Yochai Konig
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Co-authors
- Christoph BreglerM. WeintraubAndreas StolckeNelson MorganLarry HeckKemal SönmezFrançoise BeaufaysHervé Bourlard
- Topics
- Speech Recognition and Synthesis (18 papers)Speech and Audio Processing (15 papers)Music and Audio Processing (9 papers)
- Journals
- IEEE Signal Processing LettersSpeech CommunicationINFM-OAR (INFN Catania)
- Partner nations
- United StatesBelgium
In The Last Decade
Yochai Konig
20 papers receiving 488 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 405
- Signal Processing 400
- Computer Vision and Pattern Recognition 152
- Electrical and Electronic Engineering 35
- Cognitive Neuroscience 19
Countries citing papers authored by Yochai Konig
This map shows the geographic impact of Yochai Konig'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 Yochai Konig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yochai Konig more than expected).
Fields of papers citing papers by Yochai Konig
This network shows the impact of papers produced by Yochai Konig. 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 Yochai Konig. The network helps show where Yochai Konig may publish in the future.
Co-authorship network of co-authors of Yochai Konig
This figure shows the co-authorship network connecting the top 25 collaborators of Yochai Konig. A scholar is included among the top collaborators of Yochai Konig 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 Yochai Konig. Yochai Konig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 67 | |
| 5 | 187 | |
| 6 | 48 | |
| 7 | 6 | |
| 8 | DISCRIMINATIVE TRAINING OF MINIMUM COST SPEAKER VERIFICATION SYSTEMS | 2 |
| 9 | Nonlinear Discriminant Feature Extraction for Robust Text-Independent Speaker Recognition | 31 |
| 10 | 119 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition | 30 |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | Modeling Consistency in a Speaker Independent Continuous Speech Recognition System | 3 |
| 20 | 5 |
About Yochai Konig
Yochai Konig is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 586 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (400 citations), Artificial Intelligence (405 citations) and Computer Vision and Pattern Recognition (152 citations). Yochai Konig has collaborated with scholars based in United States and Belgium. Frequent co-authors include Christoph Bregler, M. Weintraub, Andreas Stolcke, Nelson Morgan, Larry Heck, Kemal Sönmez, Françoise Beaufays, Hervé Bourlard, N. Morgan and Stephen M. Omohundro. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication and INFM-OAR (INFN Catania).
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.