Johan Schalkwyk
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Françoise BeaufaysCyril AllauzenMichael RileyRonald A. ColeKanishka RaoAlex GravesAndrew SeniorOzan İrsoy
- Topics
- Speech Recognition and Synthesis (17 papers)Speech and dialogue systems (15 papers)Natural Language Processing Techniques (12 papers)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Johan Schalkwyk
36 papers receiving 471 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 447
- Signal Processing 178
- Computer Vision and Pattern Recognition 62
- Human-Computer Interaction 47
- Experimental and Cognitive Psychology 38
Countries citing papers authored by Johan Schalkwyk
This map shows the geographic impact of Johan Schalkwyk'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 Johan Schalkwyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Schalkwyk more than expected).
Fields of papers citing papers by Johan Schalkwyk
This network shows the impact of papers produced by Johan Schalkwyk. 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 Johan Schalkwyk. The network helps show where Johan Schalkwyk may publish in the future.
Co-authorship network of co-authors of Johan Schalkwyk
This figure shows the co-authorship network connecting the top 25 collaborators of Johan Schalkwyk. A scholar is included among the top collaborators of Johan Schalkwyk 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 Johan Schalkwyk. Johan Schalkwyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 100 | |
| 3 | 4 | |
| 4 | Language Modeling for Automatic Speech Recognition Meets the Web: Google Search by Voice | 2 |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 29 | |
| 8 | OpenFst: A General and Efficient Weighted Finite-State Transducer Library (Extended Abstract of an Invited Talk) | 15 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 108 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 1 |
About Johan Schalkwyk
Johan Schalkwyk is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 578 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and dialogue systems (15 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Signal Processing (178 citations), Artificial Intelligence (447 citations) and Human-Computer Interaction (47 citations). Johan Schalkwyk has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Françoise Beaufays, Cyril Allauzen, Michael Riley, Ronald A. Cole, Kanishka Rao, Alex Graves, Andrew Senior, Ozan İrsoy, Haşim Sak and Brian Strope. Their work appears in journals such as Social Forces, Electronics Letters and Speech Communication.
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.