Elaine Rich

2.9k citations
24 papers · 1.5k indexed · 1 hit paper · h-index 12
Topics
Speech and dialogue systems (6 papers)Natural Language Processing Techniques (5 papers)Semantic Web and Ontologies (4 papers)

In The Last Decade

Elaine Rich

20 papers receiving 1.2k citations

Hit Papers

User Modeling via Stereotypes*19792026199420101979100200300400500

Peers

Elaine Rich
Comparison fields: 5 of 87
  • Artificial Intelligence 842
  • Information Systems 497
  • Computer Vision and Pattern Recognition 248
  • Computer Networks and Communications 134
  • Human-Computer Interaction 127
Replace David Maulsby with:
David Maulsby Canada
Alan Kay United States
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Simeon Simoff Australia
Polle T. Zellweger United States
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Denis Parra Chile
Elaine Rich relative to David Maulsby Canada David Maulsby's profile →
Citations per field
00.5×1.7×
David Maulsby · 1×
Citations per year

Countries citing papers authored by Elaine Rich

Since Specialization
Citations

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

Fields of papers citing papers by Elaine Rich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elaine Rich

This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Rich. A scholar is included among the top collaborators of Elaine Rich 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 Elaine Rich. Elaine Rich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 159
3
Advanced Software Applications In Japan
5
4 35
5
User Models in Dialog Systems
218
6 5
7 54
8
Natural-language interfaces
1
9
Ambiguity procrastination
11
10
MIRROR: a language for representing programs for reasoning
0
11
Natural Language Understanding: How Natural Can It be?.
6
12 22
13
User modelling panel
9
14
Representing Programs for Reasoning
0
15
Default reasoning as likelihood reasoning
23
16 189
17 6
18
Building and exploiting user models
53
19
User Modeling via Stereotypes*breakdown →
575
20 33

About Elaine Rich

Elaine Rich is a scholar working on General Decision Sciences, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and dialogue systems (6 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (842 citations), Human-Computer Interaction (127 citations) and Information Systems (497 citations). Elaine Rich has collaborated with scholars based in United States, Germany and France. Frequent co-authors include David N. Chin, Alex Quilici, Marlene Jones, Alfred Kobsa, Robin Cohen, A. Jameson, Tim Finin, Robert Kass, S. Carberry and Cécile Paris. Their work appears in journals such as Communications of the ACM, Cognitive Science and IEEE Transactions on Visualization and Computer Graphics.

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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