Kay Cohen

627 citations
4 papers · 329 indexed · h-index 3

Impact in

    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Semantic Web and Ontologies
    • Multi-Agent Systems and Negotiation
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Co-authors
Lyndsay Smith
Journals
Language (2 papers)Queensland's institutional digital repository (The University of Queensland) (1 paper)

In The Last Decade

Kay Cohen

4 papers receiving 256 citations

Peers

Kay Cohen
Comparison fields: 5 of 61
  • Artificial Intelligence 244
  • Signal Processing 56
  • Human-Computer Interaction 27
  • Language and Linguistics 33
  • Computer Vision and Pattern Recognition 36
Replace Virach Sornlertlamvanich with:
Virach Sornlertlamvanich Thailand
Judith Markowitz United States
John Dowding United States
Daniele P. Radicioni Italy
Vasilis Karaiskos United Kingdom
Charles T. Hemphill United States
Robert Bobrow United States
Tsuneaki Kato Japan
Sámi Virpioja Finland
Francesca Bonin Ireland
Kay Cohen relative to Virach Sornlertlamvanich Thailand Virach Sornlertlamvanich's profile →
Citations per field
00.5×1.5×2.1×
Virach Sornlertlamvanich · 1×
Citations per year

Countries citing papers authored by Kay Cohen

Since Specialization
Citations

This map shows the geographic impact of Kay Cohen'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 Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Cohen more than expected).

Fields of papers citing papers by Kay Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Cohen. 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 Cohen. The network helps show where Kay Cohen may publish in the future.

Co-authors

The 1 scholars most cited alongside Kay Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kay Cohen Line = papers co-authored together Kay Cohen links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Lost Brisbane and Surrounding Areas 1860-1960
20171
2 2000314
3 200012
4
People, places and policies : aspects of Queensland government administration, 1859-1920
19952

About Kay Cohen

Kay Cohen is a scholar working on Artificial Intelligence, Political Science and International Relations, Sociology and Political Science, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 329 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Australian History and Society (1 paper), Commonwealth, Australian Politics and Federalism (1 paper), Speech and dialogue systems (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (244 citations), Signal Processing (56 citations), Human-Computer Interaction (27 citations), Language and Linguistics (33 citations) and Computer Vision and Pattern Recognition (36 citations). Frequent co-authors include Lyndsay Smith. Their work appears in journals such as Language and Queensland's institutional digital repository (The University of Queensland).

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.

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