Kay Peterson
- Artificial Intelligence top 5%
- Information Systems top 10%
- Education
- Developmental and Educational Psychology
- Molecular Biology
- Co-authors
- Mark A. PrzybockiPhilipp KoehnOmar F. ZaidanChristof MonzChris Callison-BurchDavid KolbG.W. SandersKazuaki Mæda
- Topics
- Natural Language Processing Techniques (11 papers)Speech and dialogue systems (7 papers)Speech Recognition and Synthesis (6 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Kay Peterson
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 308
- Information Systems 47
- Education 23
- Developmental and Educational Psychology 21
- Molecular Biology 18
Countries citing papers authored by Kay Peterson
This map shows the geographic impact of Kay Peterson'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 Kay Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Peterson more than expected).
Fields of papers citing papers by Kay Peterson
This network shows the impact of papers produced by Kay Peterson. 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 Kay Peterson. The network helps show where Kay Peterson may publish in the future.
Co-authorship network of co-authors of Kay Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Kay Peterson. A scholar is included among the top collaborators of Kay Peterson 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 Kay Peterson. Kay Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | How You Learn Is How You Live: Using Nine Ways of Learning to Transform Your Life | 14 |
| 6 | 35 | |
| 7 | Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR | 20 |
| 8 | Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation | 129 |
| 9 | Basic Guidelines for Minimal Descriptive Embedded Metadata in Digital Images | 3 |
| 10 | 54 | |
| 11 | Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction | 38 |
| 12 | Translation Adequacy and Preference Evaluation Tool (TAP-ET) | 2 |
| 13 | 7 | |
| 14 | 10 | |
| 15 | Domain Specific Speech Acts for Spoken Language Translation | 27 |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | Home is where you park it | 0 |
About Kay Peterson
Kay Peterson is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing, having authored 19 papers that have together received 374 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Speech and dialogue systems (7 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Artificial Intelligence (308 citations), Information Systems (47 citations) and Computer Science Applications (11 citations). Kay Peterson has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Mark A. Przybocki, Philipp Koehn, Omar F. Zaidan, Christof Monz, Chris Callison-Burch, David Kolb, G.W. Sanders, Kazuaki Mæda, Zhiyi Song and Stephanie Strassel. Their work appears in journals such as Language Resources and Evaluation, Journal of Experiential Education and Machine Translation.
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.