Donna Byron

1.8k citations
34 papers · 1.0k indexed · h-index 17

Donna Byron

33 papers receiving 869 citations

Peers

Donna Byron
Comparison fields: 5 of 85
  • Artificial Intelligence 770
  • Applied Psychology 74
  • Language and Linguistics 98
  • Experimental and Cognitive Psychology 124
  • Human-Computer Interaction 40
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Citations per year

Countries citing papers authored by Donna Byron

Since Specialization
Citations

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

Fields of papers citing papers by Donna Byron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Donna Byron, 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 Donna Byron Line = papers co-authored together Donna Byron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010155
2
Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
200916
3 20096
4 200833
5
Shared Task Proposal: Instruction Giving in Virtual Worlds
20077
6
PYCOT: An Optimality Theory-based Pronoun Resolution Toolkit
20063
7
The OSU Quake 2004 corpus of two-party situated problem-solving dialogs
200614
8 200633
9 200629
10 20053
11
HLT/EMNLP 2005 Interactive Demonstrations Proceedings
20051
12 200569
13
Proceedings of HLT/EMNLP on Interactive Demonstrations
20053
14
Proceedings of the 2004 ACL Workshop on Discourse Annotation
200414
15 2001197
16 2000102
17 200021
18 20001
19
Applying genetic algorithms to pronoun resolution
19996
20
Resolving Demonstrative Anaphora in the TRAINS93 Corpus
199819

About Donna Byron

Donna Byron is a scholar working on Artificial Intelligence, Family Practice, Computer Science Applications, Experimental and Cognitive Psychology and Applied Psychology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and dialogue systems (25 papers), Natural Language Processing Techniques (23 papers), Topic Modeling (13 papers), Multi-Agent Systems and Negotiation (6 papers), Language, Metaphor, and Cognition (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Video Analysis and Summarization (2 papers) and Language, Discourse, Communication Strategies (2 papers). The work is most often cited by research in Artificial Intelligence (770 citations), Applied Psychology (74 citations), Language and Linguistics (98 citations), Experimental and Cognitive Psychology (124 citations) and Human-Computer Interaction (40 citations). Donna Byron has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James F. Allen, Amanda Stent, George Ferguson, Myroslava O. Dzikovska, Lucian Galescu, Eric Fosler‐Lussier, Michael K. Tanenhaus, Sarah Brown‐Schmidt, Brian W. Jack and Rebecca A. Silliman. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Natural Language Engineering, Journal of Memory and Language and AI Magazine.

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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