Richard Kittredge
- Artificial Intelligence top 2%
- Language and Linguistics top 5%
- Information Systems top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Eli GoldbergTanya KorelskyAlain PolguèreOwen RambowBenoit LavoieLidija IordanskajaIgor Mel’čukThomas D. Wilkerson
- Topics
- Natural Language Processing Techniques (14 papers)Topic Modeling (6 papers)Speech and dialogue systems (5 papers)
- Journals
- Review of Scientific InstrumentsJournal of Atmospheric and Oceanic TechnologyComputers & Mathematics with Applications
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Richard Kittredge
23 papers receiving 470 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 482
- Language and Linguistics 64
- Information Systems 63
- Molecular Biology 38
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Richard Kittredge
This map shows the geographic impact of Richard Kittredge'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 Kittredge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Kittredge more than expected).
Fields of papers citing papers by Richard Kittredge
This network shows the impact of papers produced by Richard Kittredge. 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 Kittredge. The network helps show where Richard Kittredge may publish in the future.
Co-authorship network of co-authors of Richard Kittredge
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Kittredge. A scholar is included among the top collaborators of Richard Kittredge 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 Kittredge. Richard Kittredge 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 | 8 | |
| 4 | 0 | |
| 5 | The Generation of Reports from Databases | 5 |
| 6 | 12 | |
| 7 | 157 | |
| 8 | Multilinguality and Generation | 2 |
| 9 | 45 | |
| 10 | 1 | |
| 11 | 69 | |
| 12 | 27 | |
| 13 | Review of Machine translation: past, present, future by William John Hutchins. Chichester 1986. | 1 |
| 14 | 8 | |
| 15 | 29 | |
| 16 | Benchmarking Database Systems: Past Effords and Future Diretions. | 3 |
| 17 | Towards a computable model of meaning-text relations within a natural sublanguage | 12 |
| 18 | 2 | |
| 19 | 129 | |
| 20 | 11 |
About Richard Kittredge
Richard Kittredge is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology, having authored 26 papers that have together received 575 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (482 citations), Language and Linguistics (64 citations) and Software (14 citations). Richard Kittredge has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Eli Goldberg, Tanya Korelsky, Alain Polguère, Owen Rambow, Benoit Lavoie, Lidija Iordanskaja, Igor Mel’čuk, Thomas D. Wilkerson, Agnès Tutin and K. W. Ogilvie. Their work appears in journals such as Review of Scientific Instruments, Journal of Atmospheric and Oceanic Technology and Computers & Mathematics with Applications.
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.