Susan L. Epstein

1.3k total citations · 1 hit paper
74 papers, 571 citations indexed

About

Susan L. Epstein is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Susan L. Epstein has authored 74 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Susan L. Epstein's work include AI-based Problem Solving and Planning (24 papers), Constraint Satisfaction and Optimization (19 papers) and Speech and dialogue systems (14 papers). Susan L. Epstein is often cited by papers focused on AI-based Problem Solving and Planning (24 papers), Constraint Satisfaction and Optimization (19 papers) and Speech and dialogue systems (14 papers). Susan L. Epstein collaborates with scholars based in United States, Ireland and United Kingdom. Susan L. Epstein's co-authors include Peter N. Lipke, Weigang Qiu, Rebecca J. Passonneau, Jack Gelfand, Eric Schneider, Richard J. Wallace, Eugene C. Freuder, Michael J. Oudshoorn, Xingjian Li and Eric Eaton and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Cognitive Science.

In The Last Decade

Susan L. Epstein

65 papers receiving 521 citations

Hit Papers

Computer Science Curricula 2023 2024 2026 2025 2024 10 20 30 40 50

Peers

Susan L. Epstein
Comparison fields: 5 of 86
  • Artificial Intelligence 332
  • Computer Networks and Communications 73
  • Molecular Biology 64
  • Computational Theory and Mathematics 50
  • Computer Science Applications 48
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Eric Neufeld Canada View profile →
Citations per field, relative to Susan L. Epstein
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Citations per year, relative to Susan L. Epstein
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Countries citing papers authored by Susan L. Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Susan L. Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan L. Epstein. 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 Susan L. Epstein. The network helps show where Susan L. Epstein may publish in the future.

Co-authorship network of co-authors of Susan L. Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of Susan L. Epstein. A scholar is included among the top collaborators of Susan L. Epstein 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 Susan L. Epstein. Susan L. Epstein 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
# Work Indexed citations
1 5
2 5
3
Discovering Protein Clusters
0
4
Semantic Specificity in Spoken Dialogue Requests
1
5
Helping Agents Help Their Users Despite Imperfect Speech Recognition
4
6
Embedded Wizardry
2
7
The role of knowledge and certainty in understanding for dialogue
4
8
What You Did and Didn't Mean: Noise, Context, and Human Skill
3
9
Toward spoken dialogue as mutual agreement
1
10
Integrating a Portfolio of Representations to Solve Hard Problems
0
11
Help Me Understand You: Addressing the Speech Recognition Bottleneck.
5
12 40
13
Full Restart Speeds Learning.
1
14
A Cognitively-Oriented Architecture Confronts Hard Problems.
1
15
Fast and Frugal Reasoning Enhances a Solver for Hard Problems
1
16
Learning to play expertly: a tutorial on Hoyle
16
17
On heuristic reasoning, reactivity, and search
5
18
Hard questions about easy tasks: issues from learning to play games
0
19
Anatomy of a Course: Program Keys in Success for Women and Minorities.
0
20
On the discovery of mathematical theorems
11

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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