Maria Bigoni

62 papers receiving 725 citations

Peers

Maria Bigoni
Comparison fields: 5 of 62
  • Safety Research 401
  • General Decision Sciences 48
  • Management Science and Operations Research 171
  • Economics and Econometrics 376
  • Demography 148
Replace Sigrid Suetens with:
Sigrid Suetens Netherlands
Oliver Kirchkamp Germany
Elizabeth Maynes Canada
Quoc-Anh Do United Kingdom
Tibor Neugebauer Luxembourg
Karl Wärneryd Sweden
Subhasish M. Chowdhury United Kingdom
Rupert Sausgruber Austria
Praveen Kujal Spain
Matteo Ploner Italy
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Citations per field
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Citations per year

Countries citing papers authored by Maria Bigoni

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bigoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012123
2 2015102
3 201564
4 201552
5 201342
6 201232
7 201828
8 201228
9 201323
10 201217
11 200915
12 200914
13 201313
14 201312
15 201410
16 201910
17 201410
18 20089
19 20138
20 20128

About Maria Bigoni

Maria Bigoni is a scholar working on Safety Research, Management Science and Operations Research, Sociology and Political Science, Economics and Econometrics and Demography, having authored 65 papers that have together received 757 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (53 papers), Game Theory and Applications (21 papers), Culture, Economy, and Development Studies (19 papers), Evolutionary Game Theory and Cooperation (13 papers), Law, Economics, and Judicial Systems (9 papers), Auction Theory and Applications (9 papers), Economic theories and models (6 papers) and School Choice and Performance (4 papers). The work is most often cited by research in Safety Research (401 citations), General Decision Sciences (48 citations), Management Science and Operations Research (171 citations), Economics and Econometrics (376 citations) and Demography (148 citations). Maria Bigoni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Marco Casari, Giancarlo Spagnolo, Sven‐Olof Fridolfsson, Chloé Le Coq, Gabriele Camera, Stefania Bortolotti, Diego Gambetta, Francesca Pancotto, Andrzej Skrzypacz and Margherita Fort. Their work appears in journals such as Games and Economic Behavior, Economic Theory, The Economic Journal, Economics Letters and Journal of Economic Behavior & Organization.

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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