Madeleine Bates
- Artificial Intelligence top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- David S. PallettRobert BobrowWilliam M. FisherAlexander I. RudnickyDeborah A. DahlElizabeth ShribergChristine PaoMichael K. Brown
- Topics
- Speech and dialogue systems (19 papers)Natural Language Processing Techniques (15 papers)Speech Recognition and Synthesis (6 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Madeleine Bates
33 papers receiving 339 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 410
- Information Systems 57
- Signal Processing 52
- Computer Networks and Communications 30
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Madeleine Bates
This map shows the geographic impact of Madeleine Bates'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 Madeleine Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madeleine Bates more than expected).
Fields of papers citing papers by Madeleine Bates
This network shows the impact of papers produced by Madeleine Bates. 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 Madeleine Bates. The network helps show where Madeleine Bates may publish in the future.
Co-authorship network of co-authors of Madeleine Bates
This figure shows the co-authorship network connecting the top 25 collaborators of Madeleine Bates. A scholar is included among the top collaborators of Madeleine Bates 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 Madeleine Bates. Madeleine Bates 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 | 9 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Models of natural language understanding | 9 |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 17 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | How to choose natural language software | 2 |
| 15 | Requirements for natural language understanding in a system with graphic displays | 2 |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | Syntactic Analysis in a Speech Understanding System | 3 |
About Madeleine Bates
Madeleine Bates is a scholar working on Artificial Intelligence, Library and Information Sciences and General Social Sciences, having authored 37 papers that have together received 437 indexed citations. Recurring topics across this work include Speech and dialogue systems (19 papers), Natural Language Processing Techniques (15 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Artificial Intelligence (410 citations), Signal Processing (52 citations) and Information Systems (57 citations). Madeleine Bates has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David S. Pallett, Robert Bobrow, William M. Fisher, Alexander I. Rudnicky, Deborah A. Dahl, Elizabeth Shriberg, Christine Pao, Michael K. Brown, Ralph Weischedel and John Makhoul. Their work appears in journals such as The Journal of Chemical Physics, Journal of Further and Higher Education and ACM SIGIR Forum.
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.