Rosa Li

678 citations
15 papers · 447 · h-index 11

Impact in

Papers in

Rosa Li

14 papers receiving 437 citations

Peers

Rosa Li
Comparison fields: 5 of 91
  • General Decision Sciences 44
  • Cognitive Neuroscience 241
  • Statistics and Probability 102
  • Developmental and Educational Psychology 118
  • Applied Psychology 29
Replace Liat Goldfarb with:
Liat Goldfarb Israel
Zhiyu Gong Canada
Juan A. García‐Madruga Spain
Patrick Burns United Kingdom
Eva Rafetseder United Kingdom
Ran Tao China
Gidon T. Frischkorn Switzerland
Guochun Yang China
Markus Spitzer Germany
Mareike B. Wieth United States
Rosa Li relative to Liat Goldfarb Israel Liat Goldfarb's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rosa Li

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rosa Li, 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 Rosa Li Line = papers co-authored together Rosa Li links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2013120
2 201483
3 201955
4 198330
5 201328
6 201727
7 201924
8 201720
9 201517
10 202116
11 202214
12 20176
13 20216
14 20201
15
Reason's Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing
20170

About Rosa Li

Rosa Li is a scholar working on Cognitive Neuroscience, General Decision Sciences, Developmental and Educational Psychology, Statistics and Probability and Applied Psychology, having authored 15 papers that have together received 447 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (7 papers), Neural and Behavioral Psychology Studies (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Psychology of Moral and Emotional Judgment (2 papers), Reading and Literacy Development (2 papers), Mathematics Education and Teaching Techniques (2 papers), Neuroscience, Education and Cognitive Function (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in General Decision Sciences (44 citations), Cognitive Neuroscience (241 citations), Statistics and Probability (102 citations), Developmental and Educational Psychology (118 citations) and Applied Psychology (29 citations). Rosa Li has collaborated with scholars based in United States, Netherlands and Iran. Frequent co-authors include Jessica F. Cantlon, Scott A. Huettel, Nate Kornell, Elizabeth M. Brannon, Vy A. Vo, Alexandre Pouget, Joonkoo Park, Anna C. K. van Duijvenvoorde, Barbara R. Braams and E. Banks. Their work appears in journals such as Developmental Cognitive Neuroscience, Macromolecules, Scientific Reports, PLoS Biology and Journal of Neuroscience.

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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