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.
Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation
2020421 citationsFrancesco Ciampi, Giacomo Marzi et al.Journal of Business Researchprofile →
Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda
2021186 citationsStefano Bresciani, Francesco Ciampi et al.International Journal of Information Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francesco Ciampi
Since
Specialization
Citations
This map shows the geographic impact of Francesco Ciampi'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 Francesco Ciampi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Ciampi more than expected).
Fields of papers citing papers by Francesco Ciampi
This network shows the impact of papers produced by Francesco Ciampi. 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 Francesco Ciampi. The network helps show where Francesco Ciampi may publish in the future.
Co-authorship network of co-authors of Francesco Ciampi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Ciampi.
A scholar is included among the top collaborators of Francesco Ciampi 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 Francesco Ciampi. Francesco Ciampi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bresciani, Stefano, et al.. (2021). Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda. International Journal of Information Management. 60. 102347–102347.186 indexed citations breakdown →
Ciampi, Francesco. (2018). Using Corporate Social Responsibility Orientation Characteristics for Small Enterprise Default Prediction. WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS. 15.16 indexed citations
8.
Ciampi, Francesco, Giacomo Marzi, & Riccardo Rialti. (2018). ARTIFICIAL INTELLIGENCE, BIG DATA, STRATEGIC FLEXIBILITY, AGILITY, AND ORGANIZATIONAL RESILIENCE: A CONCEPTUAL FRAMEWORK BASED ON EXISTING LITERATURE. Lincoln Repository (University of Lincoln). 51–58.10 indexed citations
Ciampi, Francesco. (2017). The Potential of Top Management Characteristics for Small Enterprise Default Prediction Modelling. WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS. 14. 397–408.7 indexed citations
Ciampi, Francesco, et al.. (2009). Are Credit Scoring Models Able To Predict Small Enterprise Default? Statistical Evidence from Italian Small Enterprises. BOA (University of Milano-Bicocca). 8(1). 3–18.13 indexed citations
13.
Ciampi, Francesco, et al.. (2009). Using Artificial Neural Networks Analysis for Small Enterprise Default Prediction Modeling: Statistical Evidence from Italian Firms.10 indexed citations
14.
Ciampi, Francesco, et al.. (2009). Are Credit Scoring Models Able to Predict Small Enterprise Default? Statistical Evidence from Italian Small Enterprises.9 indexed citations
15.
Ciampi, Francesco. (2008). Defining Management Consulting and Exploring Its Knowledge Creation Potential. SSRN Electronic Journal. 5(1).5 indexed citations
16.
Ciampi, Francesco & Atul Gupta. (2008). Proceedings of the 8th Global Conference on Business & Economics. SSRN Electronic Journal.3 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.