James Shaw
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Allen NewellHerbert A. SimonKathleen McKeownVasileios HatzivassiloglouShimei PanKaren KukichDesmond JordanMichelle X. Zhou
- Topics
- Natural Language Processing Techniques (10 papers)Speech and dialogue systems (9 papers)Topic Modeling (7 papers)
- Partner nations
- United StatesNew ZealandFrance
In The Last Decade
James Shaw
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 723
- Cognitive Neuroscience 194
- Developmental and Educational Psychology 185
- Experimental and Cognitive Psychology 159
- Computational Theory and Mathematics 152
Countries citing papers authored by James Shaw
This map shows the geographic impact of James Shaw'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 Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Shaw more than expected).
Fields of papers citing papers by James Shaw
This network shows the impact of papers produced by James Shaw. 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 Shaw. The network helps show where James Shaw may publish in the future.
Co-authorship network of co-authors of James Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of James Shaw. A scholar is included among the top collaborators of James Shaw 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 James Shaw. James Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Clause aggregation: an approach to generating concise text | 6 |
| 7 | 3 | |
| 8 | A study of communication in the Cardiac Surgery Intensive Care Unit and its implications for automated briefing. | 10 |
| 9 | 35 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 36 | |
| 13 | 38 | |
| 14 | 23 | |
| 15 | 45 | |
| 16 | A decision tree approach to psychodiagnosis. The diagnosis of abnormal behaviour. | 1 |
| 17 | 27 | |
| 18 | 78 | |
| 19 | 140 | |
| 20 | PROBLEM SOLVING IN HUMANS AND COMPUTERS, | 5 |
About James Shaw
James Shaw is a scholar working on Architecture, Artificial Intelligence and Health Information Management, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Speech and dialogue systems (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in General Psychology (33 citations), General Decision Sciences (46 citations) and Artificial Intelligence (723 citations). James Shaw has collaborated with scholars based in United States, New Zealand and France. Frequent co-authors include Allen Newell, Herbert A. Simon, Kathleen McKeown, Vasileios Hatzivassiloglou, Shimei Pan, Karen Kukich, Desmond Jordan, Michelle X. Zhou, Steven Feiner and Mukesh Dalal. Their work appears in journals such as Psychological Review, IBM Journal of Research and Development and J of Design 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.