Jay I. Myung
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- General Decision Sciences top 1%
- Management Science and Operations Research top 2%
- Economics and Econometrics top 10%
- Co-authors
- Mark A. PittDaniel R. CavagnaroDanielle NavarroJanne V. KujalaHao WuWilliam H. BatchelderRichard GonzalezGeorge Karabatsos
- Topics
- Advanced Multi-Objective Optimization Algorithms (11 papers)Optimal Experimental Design Methods (9 papers)Bayesian Modeling and Causal Inference (6 papers)
- Cited by
- General Decision SciencesManagement Science and Operations ResearchStatistics and Probability
- Journals
- SHILAP Revista de lepidopterologíaPsychological ReviewManagement Science
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jay I. Myung
39 papers receiving 999 citations
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 314
- Cognitive Neuroscience 264
- General Decision Sciences 228
- Management Science and Operations Research 227
- Economics and Econometrics 150
Countries citing papers authored by Jay I. Myung
This map shows the geographic impact of Jay I. Myung'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 Jay I. Myung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay I. Myung more than expected).
Fields of papers citing papers by Jay I. Myung
This network shows the impact of papers produced by Jay I. Myung. 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 Jay I. Myung. The network helps show where Jay I. Myung may publish in the future.
Co-authorship network of co-authors of Jay I. Myung
This figure shows the co-authorship network connecting the top 25 collaborators of Jay I. Myung. A scholar is included among the top collaborators of Jay I. Myung 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 Jay I. Myung. Jay I. Myung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | The Scaled Target Learning Model: A Novel Computational Model of the Balloon Analogue Risk Task. | 1 |
| 7 | 22 | |
| 8 | 58 | |
| 9 | 11 | |
| 10 | Modeling Delay Discounting using Gaussian Process with Active Learning. | 1 |
| 11 | Active Learning for a Number-Line Task with Two Design Variables. | 1 |
| 12 | 42 | |
| 13 | 45 | |
| 14 | Cognitive Modeling Repository | 6 |
| 15 | Optimal Inference and Feedback for Representational Change | 5 |
| 16 | 30 | |
| 17 | 38 | |
| 18 | Better data with fewer participants and trials: improving experiment efficiency with adaptive design optimization | 4 |
| 19 | 94 | |
| 20 | 41 |
About Jay I. Myung
Jay I. Myung is a scholar working on General Decision Sciences, Statistics and Probability and Management Science and Operations Research, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (11 papers), Optimal Experimental Design Methods (9 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in General Decision Sciences (228 citations), Management Science and Operations Research (227 citations) and Statistics and Probability (122 citations). Jay I. Myung has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Mark A. Pitt, Daniel R. Cavagnaro, Danielle Navarro, Janne V. Kujala, Hao Wu, William H. Batchelder, Richard Gonzalez, George Karabatsos, Geoffrey Iverson and Zhong‐Lin Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychological Review and Management 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.