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.
Smart factory performance and Industry 4.0
2019444 citationsGiacomo Büchi, Monica Cugno et al.Technological Forecasting and Social Changeprofile →
Citations per year, relative to Giacomo Büchi Giacomo Büchi (= 1×)
peers
Monica Cugno
Countries citing papers authored by Giacomo Büchi
Since
Specialization
Citations
This map shows the geographic impact of Giacomo Büchi'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 Giacomo Büchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Büchi more than expected).
This network shows the impact of papers produced by Giacomo Büchi. 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 Giacomo Büchi. The network helps show where Giacomo Büchi may publish in the future.
Co-authorship network of co-authors of Giacomo Büchi
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Büchi.
A scholar is included among the top collaborators of Giacomo Büchi 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 Giacomo Büchi. Giacomo Büchi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Büchi, Giacomo, et al.. (2019). New Banks in th 4th Industrial Revolution: A Review and Typology. Institutional Research Information System University of Turin (University of Turin). 1–21.1 indexed citations
Büchi, Giacomo, Monica Cugno, & Rebecca Castagnoli. (2018). Levels of openness to Industry 4.0 and performance. An empirical analysis of manufacturing companies. Institutional Research Information System University of Turin (University of Turin). 1–11.1 indexed citations
Cugno, Monica & Giacomo Büchi. (2013). La sopravvivenza delle imprese nel settore high-tech. Evidenze empiriche dal Sistema Italia. 1(1). 603–620.
13.
Büchi, Giacomo, et al.. (2013). ASPETTI DEL BENCHMARKING NEL SETTORE SANITARIO PUBBLICO: APPLICAZIONI AL PIEMONTE. 1–122.
14.
Büchi, Giacomo, et al.. (2011). Le imprese di servizi tra cambiamento e crisi. Un’analisi empirica di un asset della competitività glocale.. 591–616.1 indexed citations
15.
Büchi, Giacomo, et al.. (2011). Elementi essenziali per la predisposizione e la certificazione del bilancio delle Aziende Sanitarie. 65–70.2 indexed citations
16.
Büchi, Giacomo, et al.. (2010). THE IMPACT OF THE INCUBATORS’ ROLE ON THE FIRM’S DEVELOPMENT IN THE BIOTECHNOLOGICAL SECTOR. AN EMPIRICAL ANALYSIS OF THE PIEDMONT REALITY. 1. 79–91.1 indexed citations
17.
Büchi, Giacomo & Teresina Mancuso. (2008). Quality agro-food productions: Economic aspects and political choices. Institutional Research Information System University of Turin (University of Turin). 3(1). 103–114.1 indexed citations
18.
Büchi, Giacomo, et al.. (2004). METODOLOGIE DI REDAZIONE E DI ANALISI DI BILANCIO NELLE AZIENDE AGRARIE. Institutional Research Information System University of Turin (University of Turin). 1–217.1 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.