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.
Technological paradigms and technological trajectories
This map shows the geographic impact of Giovanni Dosi'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 Giovanni Dosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Dosi more than expected).
This network shows the impact of papers produced by Giovanni Dosi. 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 Giovanni Dosi. The network helps show where Giovanni Dosi may publish in the future.
Co-authorship network of co-authors of Giovanni Dosi
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Dosi.
A scholar is included among the top collaborators of Giovanni Dosi 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 Giovanni Dosi. Giovanni Dosi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cimoli, Mario, Giovanni Dosi, & Xiaodan Yu. (2020). Industrial policies, patterns of learning and development: An evolutionary perspective. RePEc: Research Papers in Economics.
Dosi, Giovanni, et al.. (2018). Capabilities Accumulation and Development: What History Tells the Theory. Econstor (Econstor).2 indexed citations
10.
Dosi, Giovanni, et al.. (2014). Micro and Macro Policies in the Keynes+Schumpeter Evolutionary Models.4 indexed citations
11.
Dosi, Giovanni, Giorgio Fagiolo, Andrea Roventini, & Mauro Napoletano. (2012). Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model. RePEc: Research Papers in Economics.4 indexed citations
12.
Dosi, Giovanni & Richard R. Nelson. (2009). Technical Change and Industrial Dynamics as Evolutionary Processes. RePEc: Research Papers in Economics.2 indexed citations
Dosi, Giovanni, Luigi Marengo, & Giorgio Fagiolo. (2003). Learning in Evolutionary Environments. IIASA PURE (International Institute of Applied Systems Analysis).26 indexed citations
15.
Dosi, Giovanni & Benjamín Coriat. (2002). Problem-solving and Coordination-Governance: Advances in a Competence-Based Perspective on the Theory of the Firm. SHILAP Revista de lepidopterología.
16.
Bottazzi, Giulio, et al.. (2002). Institutional Architectures and Behavioural Ecologies in the Dynamics of Financial Markets: a Preliminary Investigation. RePEc: Research Papers in Economics.2 indexed citations
17.
Marengo, Luigi, et al.. (2001). The Structure of Problem-Solving Knowledge and the Structure of Organizations. SSRN Electronic Journal.8 indexed citations
18.
Dosi, Giovanni & Luigi Marengo. (1999). On the tangled discourse between transaction costs economics and competence-based views of the firms: Some comments. RePEc: Research Papers in Economics.34 indexed citations
19.
Dosi, Giovanni, Keith Pavitt, & Luc Soete. (1990). Technology and trade: An overview of the literature. RePEc: Research Papers in Economics. 15–39.3 indexed citations
20.
Dosi, Giovanni, et al.. (1983). Technical Change and Industrial Transformation. The Theory and an Application to the Semiconductor Industry. OpenGrey (Institut de l'Information Scientifique et Technique).57 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.