Maya Bar‐Hillel
- General Decision Sciences top 0.1%
- Economics and Econometrics top 1%
- Sociology and Political Science top 5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 2%
- Co-authors
- Willem A. WagenaarBaruch FischhoffDavid V. BudescuEfrat NeterMenahem E. YaariRuma FalkEran DayanYigal Attali
- Topics
- Decision-Making and Behavioral Economics (27 papers)Statistics Education and Methodologies (9 papers)Sports Analytics and Performance (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologyJournal of Applied Psychology
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Maya Bar‐Hillel
63 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- General Decision Sciences 1.4k
- Economics and Econometrics 707
- Sociology and Political Science 513
- Management Science and Operations Research 508
- Artificial Intelligence 507
Countries citing papers authored by Maya Bar‐Hillel
This map shows the geographic impact of Maya Bar‐Hillel'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 Maya Bar‐Hillel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Bar‐Hillel more than expected).
Fields of papers citing papers by Maya Bar‐Hillel
This network shows the impact of papers produced by Maya Bar‐Hillel. 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 Maya Bar‐Hillel. The network helps show where Maya Bar‐Hillel may publish in the future.
Co-authorship network of co-authors of Maya Bar‐Hillel
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Bar‐Hillel. A scholar is included among the top collaborators of Maya Bar‐Hillel 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 Maya Bar‐Hillel. Maya Bar‐Hillel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 55 | |
| 6 | 23 | |
| 7 | Country-Of-Origin Can Modify Actual Product Performance | 1 |
| 8 | 8 | |
| 9 | 157 | |
| 10 | 4 | |
| 11 | 36 | |
| 12 | 106 | |
| 13 | 42 | |
| 14 | 84 | |
| 15 | 262 | |
| 16 | 7 | |
| 17 | 49 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | The base-rate fallacy in probability judgmentsbreakdown → | 722 |
About Maya Bar‐Hillel
Maya Bar‐Hillel is a scholar working on General Decision Sciences, Statistics and Probability and History and Philosophy of Science, having authored 65 papers that have together received 3.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (27 papers), Statistics Education and Methodologies (9 papers) and Sports Analytics and Performance (7 papers). The work is most often cited by research in General Decision Sciences (1.4k citations), History and Philosophy of Science (283 citations) and Applied Psychology (308 citations). Maya Bar‐Hillel has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Willem A. Wagenaar, Baruch Fischhoff, David V. Budescu, Efrat Neter, Menahem E. Yaari, Ruma Falk, Eran Dayan, Yigal Attali, Avishai Margalit and Gershon Ben‐Shakhar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Journal of Applied Psychology.
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.