Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Gender gap in journal submissions and peer review during the first wave of the COVID-19 pandemic. A study on 2329 Elsevier journals
2021126 citationsFlaminio Squazzoni, Giangiacomo Bravo et al.PLoS ONEprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Flaminio Squazzoni
Since
Specialization
Citations
This map shows the geographic impact of Flaminio Squazzoni'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 Flaminio Squazzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flaminio Squazzoni more than expected).
Fields of papers citing papers by Flaminio Squazzoni
This network shows the impact of papers produced by Flaminio Squazzoni. 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 Flaminio Squazzoni. The network helps show where Flaminio Squazzoni may publish in the future.
Co-authorship network of co-authors of Flaminio Squazzoni
This figure shows the co-authorship network connecting the top 25 collaborators of Flaminio Squazzoni.
A scholar is included among the top collaborators of Flaminio Squazzoni 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 Flaminio Squazzoni. Flaminio Squazzoni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Squazzoni, Flaminio. (2010). Peering Into Peer Review. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 2010(3). 0–0.8 indexed citations
Squazzoni, Flaminio, et al.. (2010). Social Structures by John Levi Martin .. Journal of Artificial Societies and Social Simulation. 13.
13.
Squazzoni, Flaminio. (2009). Epistemological Aspects of Computer Simulation in the Social Sciences: Second International Workshop, EPOS 2006, Brescia, Italy, October 5-6, 2006, Revised Selected and Invited Papers.3 indexed citations
Squazzoni, Flaminio. (2008). Emergence: Contemporary Readings in Philosophy and Science (Bradford Books) by Mark A. Bedau and Paul Humphreys (Eds.) .. Journal of Artificial Societies and Social Simulation. 11.5 indexed citations
16.
Squazzoni, Flaminio. (2008). The Micro-Macro Link in Social Simulation. Institutional Research Information System (Università degli Studi di Brescia). 2008(1). 0–0.21 indexed citations
17.
Squazzoni, Flaminio. (2006). Dissecting the Social: on the Principles of Analytical Sociology by Peter Hedstrom .. Journal of Artificial Societies and Social Simulation. 9.1 indexed citations
18.
Boero, Riccardo, et al.. (2004). Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts: an Agent-Based Prototype. Journal of Artificial Societies and Social Simulation. 7(2). 1–1.7 indexed citations
Squazzoni, Flaminio & Riccardo Boero. (2002). Economic Performance, Inter-Firm Relations and Local InstitutionalEngineering in a Computational Prototype of Industrial Districts. Journal of Artificial Societies and Social Simulation. 5(1). 1–1.16 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.