Laura Macchi

32 papers receiving 529 citations

Peers

Laura Macchi
Comparison fields: 5 of 85
  • General Decision Sciences 294
  • History and Philosophy of Science 38
  • Developmental and Educational Psychology 98
  • Statistics and Probability 63
  • Applied Psychology 38
Replace Gaëlle Villejoubert with:
Gaëlle Villejoubert United Kingdom
Kimihiko Yamagishi Japan
Bernard Berofsky United States
Miriam W. Schustack United States
Samuel G. B. Johnson United States
Marc Jekel Germany
Robin Hau Switzerland
Jonathan E. Adler United States
Ellen Evers United States
Felipe Romero Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Laura Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Laura Macchi, 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 Laura Macchi Line = papers co-authored together Laura Macchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Thinking : psychological perspectives on reasoning, judgment and decision making
200387
2 199587
3 199964
4 200051
5 201438
6 200436
7 200028
8 201223
9 200620
10
COMPUTATIONAL FEATURES VS FREQUENTIST PHRASING IN THE BASE-RATE FALLACY
199819
11 201218
12 200114
13 20219
14 20148
15 20098
16 20147
17 20196
18 20205
19 20075
20 19995

About Laura Macchi

Laura Macchi is a scholar working on General Decision Sciences, Artificial Intelligence, Cognitive Neuroscience, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 37 papers that have together received 567 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (19 papers), Child and Animal Learning Development (6 papers), Creativity in Education and Neuroscience (6 papers), Psychology of Moral and Emotional Judgment (5 papers), Bayesian Modeling and Causal Inference (5 papers), Philosophy and History of Science (5 papers), Cognitive Science and Mapping (4 papers) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in General Decision Sciences (294 citations), History and Philosophy of Science (38 citations), Developmental and Educational Psychology (98 citations), Statistics and Probability (63 citations) and Applied Psychology (38 citations). Laura Macchi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include David Hardman, Daniel N. Osherson, David H. Krantz, Jonathan J. Koehler, Guy Politzer, K. J. Gilhooly, Linden J. Ball, Riccardo Viale, Marco D’Αddario and Nicoletta Salerni. Their work appears in journals such as Mind & Society, Thinking & Reasoning, Psychological Review, Journal of Behavioral Decision Making and Judgment and Decision Making.

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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