Richard E. Cullingford
- Artificial Intelligence top 5%
- Information Systems
- Developmental and Educational Psychology
- Experimental and Cognitive Psychology
- Language and Linguistics
- Topics
- Speech and dialogue systems (5 papers)Topic Modeling (4 papers)Natural Language Processing Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAutomaticaDiscourse Processes
- Partner nations
- United StatesBritish Virgin IslandsCanada
In The Last Decade
Richard E. Cullingford
11 papers receiving 263 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 256
- Information Systems 36
- Developmental and Educational Psychology 31
- Experimental and Cognitive Psychology 24
- Language and Linguistics 18
Countries citing papers authored by Richard E. Cullingford
This map shows the geographic impact of Richard E. Cullingford'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 Richard E. Cullingford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard E. Cullingford more than expected).
Fields of papers citing papers by Richard E. Cullingford
This network shows the impact of papers produced by Richard E. Cullingford. 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 Richard E. Cullingford. The network helps show where Richard E. Cullingford may publish in the future.
Co-authorship network of co-authors of Richard E. Cullingford
This figure shows the co-authorship network connecting the top 25 collaborators of Richard E. Cullingford. A scholar is included among the top collaborators of Richard E. Cullingford 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 Richard E. Cullingford. Richard E. Cullingford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | Generating natural language explanations in a computer-aided design system | 0 |
| 6 | 1 | |
| 7 | 34 | |
| 8 | Towards automating explanations | 1 |
| 9 | 34 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | Controlling inference in story understanding | 5 |
| 13 | Script application: computer understanding of newspaper stories. | 183 |
About Richard E. Cullingford
Richard E. Cullingford is a scholar working on Artificial Intelligence, Software and Speech and Hearing, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Speech and dialogue systems (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (256 citations), Developmental and Educational Psychology (31 citations) and Human-Computer Interaction (13 citations). Richard E. Cullingford has collaborated with scholars based in United States, British Virgin Islands and Canada. Frequent co-authors include Anatole Gershman, Myron W. Krueger, Marie Bienkowski, Michael J. Pazzani and Martin Krueger. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and Discourse Processes.
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.