Mauro Gallegati

9.0k citations
191 papers · 5.2k indexed · 1 hit paper · h-index 36

Mauro Gallegati

185 papers receiving 4.9k citations

Hit Papers

Liaisons dangereuses: Increasing connectivity, risk shari...4602012202620162021100200300400

Peers

Mauro Gallegati
Comparison fields: 5 of 120
  • Finance 1.9k
  • General Economics, Econometrics and Finance 1.4k
  • Economics and Econometrics 4.2k
  • Management Science and Operations Research 557
  • Statistical and Nonlinear Physics 500
Replace Alireza Tahbaz-Salehi with:
Alireza Tahbaz-Salehi United States
Chongfeng Wu China
Apostolos Serletis Canada
Bruce Greenwald United States
Ahmet Şensoy Türkiye
Cars Hommes Netherlands
Yongmiao Hong China
Michael A. Salinger United States
Adrian Pagan Australia
Vasco M. Carvalho United Kingdom
Mauro Gallegati relative to Alireza Tahbaz-Salehi United States Alireza Tahbaz-Salehi's profile →
Citations per field
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Alireza Tahbaz-Salehi · 1×
Citations per year

Countries citing papers authored by Mauro Gallegati

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Gallegati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20228
4 20218
5 20217
6 20203
7 202030
8 201921
9 201912
10 201935
11 201825
12 20174
13 201511
14
Unbiased adaptive expectation schemes
20154
15 201261
16
A Big Mac Test of Price Dynamics and Dispersion Across Euro Area
20101
17 20103
18
The US Wage Phillips Curve over Different Time Horizons
20092
19
Power Law Scaling in World Income Distribution
200326
20 200017

About Mauro Gallegati

Mauro Gallegati is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 191 papers that have together received 5.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (126 papers), Economic theories and models (107 papers), Banking stability, regulation, efficiency (51 papers), Economic Theory and Policy (31 papers), Monetary Policy and Economic Impact (26 papers), Firm Innovation and Growth (16 papers), Market Dynamics and Volatility (13 papers) and Economic Growth and Productivity (12 papers). The work is most often cited by research in Finance (1.9k citations), General Economics, Econometrics and Finance (1.4k citations) and Economics and Econometrics (4.2k citations). Mauro Gallegati has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Domenico Delli Gatti, Joseph E. Stiglitz, Alberto Russo, Bruce Greenwald, Edoardo Gaffeo, Antonio Palestrini, Stefano Battiston, Luca Riccetti, Corrado Di Guilmi and Gabriele Tedeschi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

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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