Judy Goldsmith

2.8k citations
104 papers · 1.3k indexed · h-index 18
Topics
Bayesian Modeling and Causal Inference (17 papers)Computability, Logic, AI Algorithms (14 papers)Machine Learning and Algorithms (13 papers)
Journals
SHILAP Revista de lepidopterologíaCommunications of the ACMJournal of the ACM

In The Last Decade

Judy Goldsmith

92 papers receiving 1.2k citations

Peers

Judy Goldsmith
Comparison fields: 5 of 108
  • Artificial Intelligence 666
  • Computational Theory and Mathematics 357
  • Computer Networks and Communications 287
  • Safety Research 182
  • Signal Processing 148
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Judy Goldsmith

Since Specialization
Citations

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

Fields of papers citing papers by Judy Goldsmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Goldsmith

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Goldsmith. A scholar is included among the top collaborators of Judy Goldsmith 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 Judy Goldsmith. Judy Goldsmith 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
Super Altruistic Hedonic Games.
5
3
Decentralized Marriage Models.
0
4
Internal Stability in Hedonic Games.
0
5
Learning Tree-Structured CP-Nets with Local Search.
2
6
Stability in Role Based Hedonic Games.
1
7 10
8
Teaching AI Ethics Using Science Fiction
14
9
A Model for Intransitive Preferences
0
10 21
11
Planning for Welfare to Work
1
12
Competition Adds Complexity
7
13
Factored MDP elicitation and plan display
1
14
Adaptive Decision Support for Planning Under Hard and Soft Constraints
3
15 3
16
Building Bayes Nets with Semistructured Probabilistic DBMS.
3
17
POET: The Online Preference Elicitation Tool ∗
6
18
Improved Algorithms for Theory Revision with Queries
1
19
The complexity of plan existence and evaluation in robabilistic domains
12
20
Sharply Bounded Alternation within P
0

About Judy Goldsmith

Judy Goldsmith is a scholar working on Computer Science Applications, Artificial Intelligence and Computational Theory and Mathematics, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (17 papers), Computability, Logic, AI Algorithms (14 papers) and Machine Learning and Algorithms (13 papers). The work is most often cited by research in Health Informatics (37 citations), Computational Theory and Mathematics (357 citations) and Safety Research (182 citations). Judy Goldsmith has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Nicholas Mattei, Jonathan F. Buss, M. Mundhenk, Martin Mundhenk, Michael L. Littman, Olivia Johanna Erdélyi, Eric Allender, Jérôme Lang, Ulrich Junker and Deborah Joseph. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Journal of the ACM.

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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