David Gaddy
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Text Readability and Simplification
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- Speech and Audio Processing
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 3
- Speech Recognition and Synthesis 3
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
- Text Readability and Simplification 1
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- Speech and Audio Processing 1
- Co-authors
- Dan Klein (4 shared papers)Tommi Jaakkola (1 shared paper)Yuan Zhang (1 shared paper)Regina Barzilay (1 shared paper)Mitchell Stern (1 shared paper)
- Journals
- DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
David Gaddy
5 papers receiving 162 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 151
- Signal Processing 27
- Computer Vision and Pattern Recognition 23
- Human-Computer Interaction 6
- Experimental and Cognitive Psychology 10
Countries citing papers authored by David Gaddy
This map shows the geographic impact of David Gaddy'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 David Gaddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gaddy more than expected).
Fields of papers citing papers by David Gaddy
This network shows the impact of papers produced by David Gaddy. 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 David Gaddy. The network helps show where David Gaddy may publish in the future.
Co-authors
The 5 scholars most cited alongside David Gaddy, 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 | 2016 | 74 | |
| 2 | 2018 | 42 | |
| 3 | 2020 | 38 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 4 |
About David Gaddy
David Gaddy is a scholar working on Artificial Intelligence, Signal Processing, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 5 papers that have together received 174 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers), Speech Recognition and Synthesis (3 papers), Speech and dialogue systems (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Speech and Audio Processing (1 paper) and Text Readability and Simplification (1 paper). The work is most often cited by research in Artificial Intelligence (151 citations), Signal Processing (27 citations), Computer Vision and Pattern Recognition (23 citations), Human-Computer Interaction (6 citations) and Experimental and Cognitive Psychology (10 citations). David Gaddy has collaborated with scholars based in United States. Frequent co-authors include Dan Klein, Tommi Jaakkola, Yuan Zhang, Regina Barzilay and Mitchell Stern. Their work appears in journals such as DSpace@MIT (Massachusetts Institute of Technology).
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.