Kyle McDonell

1.4k total citations · 2 hit papers
2 papers, 391 citations indexed

About

Kyle McDonell is a scholar working on Artificial Intelligence, Social Psychology and Infectious Diseases. According to data from OpenAlex, Kyle McDonell has authored 2 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Social Psychology and 0 papers in Infectious Diseases. Recurrent topics in Kyle McDonell's work include AI in Service Interactions (1 paper), Speech and dialogue systems (1 paper) and Topic Modeling (1 paper). Kyle McDonell is often cited by papers focused on AI in Service Interactions (1 paper), Speech and dialogue systems (1 paper) and Topic Modeling (1 paper). Kyle McDonell collaborates with scholars based in United Kingdom and United States. Kyle McDonell's co-authors include Laria Reynolds, Murray Shanahan, Jason Phang, Ben Wang, Quentin Anthony, Samuel Weinbach, Michael Pieler, Leo Gao, Stella Biderman and Horace He and has published in prestigious journals such as Nature.

In The Last Decade

Kyle McDonell

2 papers receiving 369 citations

Hit Papers

GPT-NeoX-20B: An Open-Source Autoregressive Language Model 2022 2026 2023 2024 2022 2023 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyle McDonell United Kingdom 2 247 54 39 37 20 2 391
Laria Reynolds United States 3 247 1.0× 54 1.0× 39 1.0× 37 1.0× 20 1.0× 3 394
Weitao Ma China 2 236 1.0× 54 1.0× 29 0.7× 57 1.5× 15 0.8× 6 414
Holy Lovenia Hong Kong 6 286 1.2× 60 1.1× 34 0.9× 79 2.1× 31 1.6× 13 431
Nayeon Lee South Korea 4 280 1.1× 61 1.1× 27 0.7× 79 2.1× 32 1.6× 6 417
Mina Lee United States 7 167 0.7× 46 0.9× 27 0.7× 24 0.6× 14 0.7× 11 261
Willy Chung Hong Kong 2 262 1.1× 58 1.1× 26 0.7× 79 2.1× 30 1.5× 5 396
Bryan Wilie Hong Kong 6 361 1.5× 82 1.5× 37 0.9× 79 2.1× 33 1.6× 14 509
Leo Gao Canada 4 359 1.5× 94 1.7× 68 1.7× 22 0.6× 12 0.6× 4 469
Rishi Bommasani United States 7 330 1.3× 40 0.7× 36 0.9× 59 1.6× 19 0.9× 15 435
Alisa Liu United States 7 479 1.9× 70 1.3× 119 3.1× 24 0.6× 15 0.8× 10 607

Countries citing papers authored by Kyle McDonell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kyle McDonell

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle McDonell. A scholar is included among the top collaborators of Kyle McDonell 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 Kyle McDonell. Kyle McDonell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Shanahan, Murray, Kyle McDonell, & Laria Reynolds. (2023). Role play with large language models. Nature. 623(7987). 493–498. 156 indexed citations breakdown →
2.
Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →

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.

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