Robert David
Impact in
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing
- Embedded Systems Design Techniques
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- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech Recognition and Synthesis 3
- Natural Language Processing Techniques 1
- Semantic Web and Ontologies 1
- Logic, Reasoning, and Knowledge 1
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- D.L. Dietmeyer (1 shared paper)Wei Li (1 shared paper)Yanzhang He (3 shared papers)Tara N. Sainath (3 shared papers)Rohit Prabhavalkar (2 shared papers)Trevor Strohman (2 shared papers)Axel Polleres (1 shared paper)Wei Huang (1 shared paper)
- Journals
- Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie (1 paper)Journal of Dynamic Systems Measurement and Control (1 paper)Interspeech 2022 (1 paper)arXiv (Cornell University) (1 paper)WU Research (1 paper)
- Partner nations
- United StatesNetherlandsAlbania
In The Last Decade
Robert David
7 papers receiving 126 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 52
- Signal Processing 28
- Computational Theory and Mathematics 35
- Software 6
- Artificial Intelligence 47
Countries citing papers authored by Robert David
This map shows the geographic impact of Robert David'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 Robert David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert David more than expected).
Fields of papers citing papers by Robert David
This network shows the impact of papers produced by Robert David. 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 Robert David. The network helps show where Robert David may publish in the future.
Co-authors
The 20 scholars most cited alongside Robert David, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 100 | |
| 2 | 2021 | 22 | |
| 3 | 2022 | 6 | |
| 4 | 2023 | 4 | |
| 5 | Through the looking-glass: a dynamic lens model approach to learning in MCPL tasks | 2008 | 3 |
| 6 | 1995 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2019 | 0 |
About Robert David
Robert David is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management and Cognitive Neuroscience, having authored 8 papers that have together received 137 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (2 papers), Aesthetic Perception and Analysis (1 paper), Natural Language Processing Techniques (1 paper), Semantic Web and Ontologies (1 paper), Low-power high-performance VLSI design (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Hardware and Architecture (52 citations), Signal Processing (28 citations), Computational Theory and Mathematics (35 citations), Software (6 citations) and Artificial Intelligence (47 citations). Robert David has collaborated with scholars based in United States, Netherlands and Albania. Frequent co-authors include D.L. Dietmeyer, Wei Li, Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Trevor Strohman, Axel Polleres, Wei Huang, Weiran Wang and Xin Wang. Their work appears in journals such as Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie, Journal of Dynamic Systems Measurement and Control, Interspeech 2022, arXiv (Cornell University) and WU 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.