Kyle McDonell
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
Papers in
-
- Topic Modeling 2
- Speech and dialogue systems 1
- AI in Service Interactions 1
- Natural Language Processing Techniques 1
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- Social Robot Interaction and HRI 1
- Co-authors
- Laria Reynolds (3 shared papers)Murray Shanahan (1 shared paper)Stella Biderman (1 shared paper)Horace He (1 shared paper)Jason Phang (1 shared paper)Michael Pieler (1 shared paper)Leo Gao (1 shared paper)Ben Wang (1 shared paper)
- Journals
- Nature (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kyle McDonell
3 papers receiving 503 citations
Kyle McDonell's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 39
- Artificial Intelligence 302
- Software 26
- Information Systems 70
- Computer Science Applications 15
Countries citing papers authored by Kyle McDonell
This map shows the geographic impact of Kyle McDonell'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 Kyle McDonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle McDonell more than expected).
Fields of papers citing papers by Kyle McDonell
This network shows the impact of papers produced by Kyle McDonell. 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 Kyle McDonell. The network helps show where Kyle McDonell may publish in the future.
Co-authors
The 11 scholars most cited alongside Kyle McDonell, 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 | GPT-NeoX-20B: An Open-Source Autoregressive Language Model Hit paper breakdown → | 2022 | 275 |
| 2 | Role play with large language models Hit paper breakdown → | 2023 | 237 |
| 3 | 2021 | 20 |
About Kyle McDonell
Kyle McDonell is a scholar working on Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 3 papers that have together received 532 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Speech and dialogue systems (1 paper), Multimodal Machine Learning Applications (1 paper), AI in Service Interactions (1 paper), Natural Language Processing Techniques (1 paper) and Social Robot Interaction and HRI (1 paper). The work is most often cited by research in Health Informatics (39 citations), Artificial Intelligence (302 citations), Software (26 citations), Information Systems (70 citations) and Computer Science Applications (15 citations). Kyle McDonell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Laria Reynolds, Murray Shanahan, Stella Biderman, Horace He, Jason Phang, Michael Pieler, Leo Gao, Ben Wang, Samuel Weinbach and Quentin G. Anthony. Their work appears in journals such as Nature and arXiv (Cornell University).
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.