What is he best known for?
The fields of study he is best known for:
- Statistics
- Macroeconomics
- Artificial intelligence
Giorgio Fagiolo focuses on Management science, Econometrics, Agent-based computational economics, Aggregate and Structure.
His Management science research is multidisciplinary, incorporating elements of Calibration, Set and Taxonomy.
His work deals with themes such as Cluster analysis, Centrality, Statistics, Market liquidity and Complex system, which intersect with Econometrics.
His Cluster analysis study combines topics in areas such as Discrete mathematics, Expected value, Complex network and Random graph.
His Agent-based computational economics research integrates issues from Business cycle, Aggregate demand and Evolutionary economics.
His studies examine the connections between Structure and genetics, as well as such issues in Entrepreneurship, with regards to Microeconomics.
His most cited work include:
- Economic Networks: The New Challenges (632 citations)
- Clustering in complex directed networks. (515 citations)
- Empirical Validation of Agent-Based Models: Alternatives and Prospects (359 citations)
What are the main themes of his work throughout his whole career to date?
Giorgio Fagiolo mainly focuses on Econometrics, Economic geography, Cluster analysis, Complex network and International trade.
In his study, Stylized fact, Microeconomics, Business cycle and Animal spirits is inextricably linked to Consumption, which falls within the broad field of Econometrics.
He interconnects Agent-based computational economics, Unemployment and Monetary economics in the investigation of issues within Business cycle.
His work in Economic geography addresses issues such as Economies of agglomeration, which are connected to fields such as Returns to scale.
His Cluster analysis research is multidisciplinary, relying on both Assortativity, Centrality and Gravity model of trade.
His study in Complex network is interdisciplinary in nature, drawing from both Financial networks, Systemic risk, Geographical distance, Node and Reciprocity.
He most often published in these fields:
- Econometrics (23.96%)
- Economic geography (11.46%)
- Cluster analysis (11.46%)
What were the highlights of his more recent work (between 2014-2021)?
- Econometrics (23.96%)
- Complex network (11.11%)
- Food systems (2.78%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Econometrics, Complex network, Food systems, Mergers and acquisitions and Cluster analysis.
His Econometrics research includes elements of Ranking, Order and Per capita.
His studies deal with areas such as Financial networks and Systemic risk as well as Complex network.
The Cluster analysis study combines topics in areas such as Geographical distance, Giant component, Node, Assortativity and Reciprocity.
His biological study spans a wide range of topics, including Economic geography, Economy, International trade and Line.
His International trade study incorporates themes from Sequence and Globalization.
Between 2014 and 2021, his most popular works were:
- Validation of agent-based models in economics and finance (163 citations)
- Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead (87 citations)
- The influence of climate variability on internal migration flows in South Africa (44 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Macroeconomics
- Artificial intelligence
His primary areas of study are Econometrics, Dynamic stochastic general equilibrium, Complex network, Macroeconomics and Constant flow.
His studies in Econometrics integrate themes in fields like Ranking, Per capita and PageRank.
In his study, Natural experiment, Development economics, Keynesian economics and Agent-based computational economics is strongly linked to Computational economics, which falls under the umbrella field of Dynamic stochastic general equilibrium.
He combines subjects such as Mergers and acquisitions, Contrast, Financial networks, Systemic risk and Geographical distance with his study of Complex network.
His research in Financial networks intersects with topics in Structure and Psychological resilience.
In general Macroeconomics, his work in Monetary policy, Fiscal policy and Financial accelerator is often linked to Corporate bond linking many areas of study.
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