Corrado Di Guilmi

1.3k total citations
50 papers, 735 citations indexed

About

Corrado Di Guilmi is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Corrado Di Guilmi has authored 50 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Economics and Econometrics, 20 papers in General Economics, Econometrics and Finance and 10 papers in Finance. Recurrent topics in Corrado Di Guilmi's work include Complex Systems and Time Series Analysis (35 papers), Economic theories and models (32 papers) and Economic Theory and Policy (13 papers). Corrado Di Guilmi is often cited by papers focused on Complex Systems and Time Series Analysis (35 papers), Economic theories and models (32 papers) and Economic Theory and Policy (13 papers). Corrado Di Guilmi collaborates with scholars based in Australia, Italy and Japan. Corrado Di Guilmi's co-authors include Mauro Gallegati, Edoardo Gaffeo, Carl Chiarella, Domenico Delli Gatti, Gianfranco Giulioni, Antonio Palestrini, Yoshi Fujiwara, Hideaki Aoyama, Wataru Souma and Laura Carvalho and has published in prestigious journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications and Journal of Economic Behavior & Organization.

In The Last Decade

Corrado Di Guilmi

48 papers receiving 691 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Corrado Di Guilmi Australia 13 635 241 174 76 63 50 735
Antonio Palestrini Italy 17 647 1.0× 200 0.8× 221 1.3× 61 0.8× 83 1.3× 41 772
Edoardo Gaffeo Italy 17 915 1.4× 380 1.6× 288 1.7× 53 0.7× 106 1.7× 50 1.1k
Reiner Franke Germany 18 974 1.5× 503 2.1× 372 2.1× 60 0.8× 112 1.8× 84 1.1k
Roberto Dieci Italy 18 915 1.4× 132 0.5× 531 3.1× 132 1.7× 97 1.5× 44 1000
Gabriele Tedeschi Italy 13 489 0.8× 64 0.3× 380 2.2× 55 0.7× 89 1.4× 33 614
Giancarlo Gandolfo Italy 15 556 0.9× 418 1.7× 175 1.0× 59 0.8× 35 0.6× 53 793
John Barkoulas United States 19 1.1k 1.8× 626 2.6× 813 4.7× 74 1.0× 84 1.3× 47 1.4k
Richard M. Goodwin United Kingdom 13 508 0.8× 322 1.3× 90 0.5× 44 0.6× 34 0.5× 31 650
Marianna Grimaldi Sweden 13 579 0.9× 397 1.6× 419 2.4× 30 0.4× 57 0.9× 21 718
Safwan Mohd Nor Malaysia 13 367 0.6× 92 0.4× 192 1.1× 12 0.2× 47 0.7× 32 477

Countries citing papers authored by Corrado Di Guilmi

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Di Guilmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corrado Di Guilmi. 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 Corrado Di Guilmi. The network helps show where Corrado Di Guilmi may publish in the future.

Co-authorship network of co-authors of Corrado Di Guilmi

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Di Guilmi. A scholar is included among the top collaborators of Corrado Di Guilmi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Corrado Di Guilmi. Corrado Di Guilmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Guilmi, Corrado Di, Giorgos Galanis, & Christian R. Proaño. (2023). A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations. Journal of Economic Behavior & Organization. 213. 50–67. 3 indexed citations
3.
Guilmi, Corrado Di & Yoshi Fujiwara. (2022). Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy. Journal of Economic Behavior & Organization. 196. 346–371. 5 indexed citations
4.
Aoyama, Hideaki, Corrado Di Guilmi, Yoshi Fujiwara, & Hiroshi Yoshikawa. (2022). Dual labor market and the “Phillips curve puzzle”: the Japanese experience. Journal of Evolutionary Economics. 32(5). 1419–1435. 3 indexed citations
5.
Guilmi, Corrado Di, et al.. (2020). An analytical solution for network models with heterogeneous and interacting agents. Journal of Economic Behavior & Organization. 171. 189–220. 3 indexed citations
6.
Baskozos, Georgios, Giorgos Galanis, & Corrado Di Guilmi. (2020). Social Distancing and Contagion in a Discrete Choice Model of COVID-19. SSRN Electronic Journal. 2 indexed citations
7.
Carvalho, Laura & Corrado Di Guilmi. (2019). Technological unemployment and income inequality: a stock-flow consistent agent-based approach. Journal of Evolutionary Economics. 30(1). 39–73. 20 indexed citations
8.
Guilmi, Corrado Di. (2017). THE AGENT-BASED APPROACH TO POST KEYNESIAN MACRO-MODELING: THE AB APPROACH TO POST KEYNESIAN MACRO-MODELING. Journal of Economic Surveys. 31(5). 1183–1203. 2 indexed citations
9.
Guilmi, Corrado Di & Laura Carvalho. (2017). The dynamics of leverage in a demand-driven model with heterogeneous firms. Journal of Economic Behavior & Organization. 140. 70–90. 8 indexed citations
10.
Guilmi, Corrado Di, et al.. (2017). Interactive macroeconomics stochastic aggregate dynamics with heterogeneous and interacting agents. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
11.
Chiarella, Carl & Corrado Di Guilmi. (2014). Financial instability and debt deflation dynamics in a bottom-up approach. Economics bulletin. 34(1). 125–132. 3 indexed citations
12.
Guilmi, Corrado Di, Xue‐Zhong He, & Kai Li. (2013). Herding, Trend Chasing and Market Volatility. SSRN Electronic Journal. 3 indexed citations
13.
Chiarella, Carl & Corrado Di Guilmi. (2013). Monetary Policy and Debt Deflation: Some Computational Experiments. SSRN Electronic Journal. 2 indexed citations
14.
Chiarella, Carl & Corrado Di Guilmi. (2012). The Fiscal Cost of Financial Instability. Studies in Nonlinear Dynamics and Econometrics. 16(4). 7 indexed citations
15.
Guilmi, Corrado Di, et al.. (2008). Financial Fragility, Mean-Field Interaction and Macroeconomic Dynamics: A Stochastic Model. SSRN Electronic Journal. 5 indexed citations
16.
Guilmi, Corrado Di & Hiroshi Yoshikawa. (2008). The Nature of Equilibrium in Macroeconomics: A Critique of Equilibrium Search Theory. SSRN Electronic Journal. 2 indexed citations
17.
Gatti, Domenico Delli, Corrado Di Guilmi, Mauro Gallegati, & Gianfranco Giulioni. (2007). FINANCIAL FRAGILITY, INDUSTRIAL DYNAMICS, AND BUSINESS FLUCTUATIONS IN AN AGENT-BASED MODEL. Macroeconomic Dynamics. 11(S1). 62–79. 19 indexed citations
18.
Gatti, Domenico Delli, Corrado Di Guilmi, Edoardo Gaffeo, et al.. (2005). A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility. Journal of Economic Behavior & Organization. 56(4). 489–512. 211 indexed citations
19.
Gatti, Domenico Delli, Corrado Di Guilmi, Edoardo Gaffeo, & Mauro Gallegati. (2004). Bankruptcy as an exit mechanism for systems with a variable number of components. Physica A Statistical Mechanics and its Applications. 344(1-2). 8–13. 8 indexed citations
20.
Guilmi, Corrado Di, Edoardo Gaffeo, & Mauro Gallegati. (2003). Power Law Scaling in World Income Distribution. Economics bulletin. 15(6). 1–7. 26 indexed citations

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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