Maya Bar‐Hillel

7.8k citations
65 papers · 3.3k indexed · 1 hit paper · h-index 28

Maya Bar‐Hillel

63 papers receiving 3.0k citations

Hit Papers

The base-rate fallacy in probability judgments7221980202619952010200400600

Peers

Maya Bar‐Hillel
Comparison fields: 5 of 154
  • General Decision Sciences 1.4k
  • History and Philosophy of Science 283
  • Applied Psychology 308
  • Safety Research 434
  • Management Science and Operations Research 508
Replace Joshua Klayman with:
Joshua Klayman United States
Lola L. Lopes United States
Ulrich Hoffrage Germany
Gideon Keren Netherlands
L. Ronald Ross
Peter Juslin Sweden
Thomas S. Wallsten United States
P. C. Wason United Kingdom
Michael H. Birnbaum United States
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Citations per field
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Citations per year

Countries citing papers authored by Maya Bar‐Hillel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Maya Bar‐Hillel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Bar‐Hillel Line = papers co-authored together Maya Bar‐Hillel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20202
4 20197
5 201555
6 201423
7
Country-Of-Origin Can Modify Actual Product Performance
20131
8 20128
9 2011157
10 20104
11 200836
12 2003106
13 200242
14 199584
15 1991262
16 19897
17 198849
18 198340
19 19821
20
The base-rate fallacy in probability judgmentsbreakdown →
1980722

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), Sports Analytics and Performance (7 papers), Philosophy and History of Science (6 papers), Experimental Behavioral Economics Studies (5 papers), Bayesian Modeling and Causal Inference (5 papers), Psychology of Moral and Emotional Judgment (4 papers) and Epistemology, Ethics, and Metaphysics (4 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.

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