Matteo Richiardi

2.0k citations
62 papers · 920 indexed · 1 hit paper · h-index 16

Matteo Richiardi

56 papers receiving 846 citations

Hit Papers

The public health implications of the cost-of-living cris...5720232026202420251020304050

Peers

Matteo Richiardi
Comparison fields: 5 of 105
  • Economics and Econometrics 490
  • Finance 176
  • General Economics, Econometrics and Finance 120
  • Management Science and Operations Research 144
  • General Health Professions 168
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Citations per year

Countries citing papers authored by Matteo Richiardi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Richiardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20240
4
The public health implications of the cost-of-living crisis: outlining mechanisms and modelling consequencesbreakdown →
202357
5 20221
6 20223
7 20225
8 202110
9
Understanding low female labour force participation: Policy evaluation using microsimulation
20191
10 20189
11
The Drivers of Inequality in Rich Countries
20181
12
Sequential Teamwork in Competitive Environments: Theory and Evidence from Swimming Data
201320
13 201216
14 20093
15 20081
16
Exploring a New ExpAce The complementarities between experimental economics and agent-based computational economics
20065
17
Jesus vs. Hillel. From moral to social norms and back
20061
18
Why Are Economists Sceptical About Agent-Based Simulations
20050
19 20051
20
Generalizing Gibrat. Reasonable Multiplicative Models of Firm Dynamics
20033

About Matteo Richiardi

Matteo Richiardi is a scholar working on Industrial relations, Health and Economics and Econometrics, having authored 62 papers that have together received 920 indexed citations. Recurring topics across this work include Economic theories and models (12 papers), Employment and Welfare Studies (11 papers), Health disparities and outcomes (10 papers), Firm Innovation and Growth (9 papers), Labor market dynamics and wage inequality (8 papers), Complex Systems and Time Series Analysis (8 papers), Global Health Care Issues (7 papers) and demographic modeling and climate adaptation (7 papers). The work is most often cited by research in Economics and Econometrics (490 citations), Finance (176 citations) and General Economics, Econometrics and Finance (120 citations). Matteo Richiardi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Jakob Grazzini, Fábio Berton, Roberto Leombruni, Stefano Sacchi, Efthymios G. Tsionas, Andrea Presbitero, Sauro Mocetti, Brian Nolan, Michael Neugart and Mauro Gallegati. Their work appears in journals such as Review of Financial Studies, Social Science & Medicine and PLoS Medicine.

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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