James Ryan
- Artificial Intelligence top 10%
- Topic Modeling 9
- Natural Language Processing Techniques 8
- Artificial Intelligence in Games 7
- Speech and dialogue systems 4
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- Biomedical Text Mining and Ontologies 3
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- Clinical practice guidelines implementation 2
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- Digital Games and Media 2
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- Ethics in Business and Education 1
- Co-authors
- Noah Wardrip–FruinGenevieve B. MeltonMichael MateasSerguei PakhomovSungrim MoonAdam SummervilleJordan HashemiYan Wang
- Journals
- Studies in Second Language Learning and Teaching (1 paper)Schizophrenia Bulletin (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
James Ryan
20 papers receiving 150 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 5
- Artificial Intelligence 113
- Health Information Management 12
- Computational Mathematics 1
- Issues, ethics and legal aspects 2
Countries citing papers authored by James Ryan
This map shows the geographic impact of James Ryan'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 James Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Ryan more than expected).
Fields of papers citing papers by James Ryan
This network shows the impact of papers produced by James Ryan. 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 James Ryan. The network helps show where James Ryan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Ryan, 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 | 2023 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 7 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 5 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 24 | |
| 13 | People Tend to Like Related Games. | 2015 | 4 |
| 14 | 2015 | 6 | |
| 15 | 2014 | 6 | |
| 16 | Toward Recombinant Dialogue in Interactive Narrative | 2014 | 1 |
| 17 | 2013 | 50 | |
| 18 | Computerized Analysis of a Verbal Fluency Test | 2013 | 3 |
| 19 | A study of actions in operative notes. | 2012 | 12 |
| 20 | 1963 | 1 |
About James Ryan
James Ryan is a scholar working on Artificial Intelligence, Classics, Health Information Management, Literature and Literary Theory and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 166 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Artificial Intelligence in Games (7 papers), Speech and dialogue systems (4 papers), Biomedical Text Mining and Ontologies (3 papers), Clinical practice guidelines implementation (2 papers), Digital Games and Media (2 papers) and Ethics in Business and Education (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (113 citations), Health Information Management (12 citations), Computational Mathematics (1 citation) and Issues, ethics and legal aspects (2 citations). James Ryan has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Noah Wardrip–Fruin, Genevieve B. Melton, Michael Mateas, Serguei Pakhomov, Sungrim Moon, Adam Summerville, Serguei Pakhomov, Jordan Hashemi, Yan Wang and Edward F. Melcer. Their work appears in journals such as Studies in Second Language Learning and Teaching, Schizophrenia Bulletin, AI Magazine, Journal of Biomedical Informatics and International Journal of Multilingualism.
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.