Pia Pinger

1.2k citations
29 papers · 598 indexed · h-index 13

Impact in

Papers in

Pia Pinger

26 papers receiving 577 citations

Peers

Pia Pinger
Comparison fields: 5 of 82
  • General Decision Sciences 37
  • Safety Research 117
  • Demography 75
  • Gender Studies 59
  • Pediatrics, Perinatology and Child Health 116
Replace Leandro Carvalho with:
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Colm Harmon Australia
Lena Lindahl Sweden
Silke Anger Germany
Cahit Guven Australia
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Karen Macours United States
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Citations per field
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Citations per year

Countries citing papers authored by Pia Pinger

Since Specialization
Citations

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

Fields of papers citing papers by Pia Pinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Pia Pinger, 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 Pia Pinger Line = papers co-authored together Pia Pinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 20233
3 202173
4 20211
5 201912
6 20180
7 201865
8
Thinking about tomorrow? Predicting experimental choice behavior and life outcomes from a survey measure of present bias
20171
9
Predicting Experimental Choice Behavior and Life Outcomes from a Survey Measure of Present Bias
20175
10 20170
11 201628
12 201611
13 201616
14 20161
15 20145
16 201410
17 20125
18 201031
19 201018
20 200946

About Pia Pinger

Pia Pinger is a scholar working on General Decision Sciences, Safety Research, Gender Studies, Pediatrics, Perinatology and Child Health and Economics and Econometrics, having authored 29 papers that have together received 598 indexed citations. Recurring topics across this work include Birth, Development, and Health (8 papers), Decision-Making and Behavioral Economics (6 papers), Intergenerational and Educational Inequality Studies (5 papers), Labor market dynamics and wage inequality (4 papers), Experimental Behavioral Economics Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Demographic Trends and Gender Preferences (3 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in General Decision Sciences (37 citations), Safety Research (117 citations), Demography (75 citations), Gender Studies (59 citations) and Pediatrics, Perinatology and Child Health (116 citations). Pia Pinger has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Gérard J. van den Berg, Armin Falk, Fabian Kosse, Hannah Schildberg-Hörisch, Thomas Deckers, Denny Vågerö, Heiner Schumacher, David Carslake, Pål Romundstad and George Davey Smith. Their work appears in journals such as Nature Communications, The Economic Journal, Labour Economics, International Migration and Journal of Behavioral and Experimental Economics.

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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