Leora Morgenstern

31 papers receiving 292 citations

Peers

Leora Morgenstern
Comparison fields: 5 of 52
  • Artificial Intelligence 305
  • Computer Networks and Communications 44
  • Computational Theory and Mathematics 33
  • Computer Vision and Pattern Recognition 23
  • Cognitive Neuroscience 16
Replace Daniele P. Radicioni with:
Daniele P. Radicioni Italy
David H. Lorenz Israel
Mark Ferguson United Kingdom
Maria Simi Italy
Monty Newborn Canada
Laura Kallmeyer Germany
Patrick Saint‐Dizier France
Vivek V. Datla United States
Jakub Zavrel Netherlands
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Leora Morgenstern relative to Daniele P. Radicioni Italy Daniele P. Radicioni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leora Morgenstern

Since Specialization
Citations

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

Fields of papers citing papers by Leora Morgenstern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leora Morgenstern

This figure shows the co-authorship network connecting the top 25 collaborators of Leora Morgenstern. A scholar is included among the top collaborators of Leora Morgenstern 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 Leora Morgenstern. Leora Morgenstern 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 16
2 2
3 9
4 2
5
Representing and reasoning about time travel narratives: foundational concepts
2
6 5
7
Reasoning About Knowledge and Action in an Epistemic Event Calculus
5
8
A first-order theory of Stanislavskian scene analysis
3
9 5
10 1
11 20
12 36
13
Teaching knowledge representation: challenges and proposals
4
14 2
15 4
16
An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry.
2
17
Inheriting well-formed formulae in a formula-agumented semantic network
1
18
The problem with solutions to the frame problem
10
19
A formal theory of multiple agent nonmonotonic reasoning
17
20
Why things go wrong: a formal theory of causal reasoning
30

About Leora Morgenstern

Leora Morgenstern is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Visual Arts and Performing Arts, having authored 32 papers that have together received 351 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (19 papers), Semantic Web and Ontologies (18 papers) and AI-based Problem Solving and Planning (11 papers). The work is most often cited by research in Artificial Intelligence (305 citations), Health Informatics (4 citations) and Computational Theory and Mathematics (33 citations). Leora Morgenstern has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Ernest Davis, Lynn Andrea Stein, Charles L. Ortiz, Sheila A. McIlraith, Gary Marcus, Thomas Lukasiewicz, Patrick J. Hayes, John McCarthy, Liang Gong and Manjeet Singh. Their work appears in journals such as Communications of the ACM, Artificial Intelligence and Lecture notes in computer science.

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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