Stefano Bianchini

48 total papers · 838 total citations
21 papers, 481 citations indexed

About

Stefano Bianchini is a scholar working on Economics and Econometrics, Strategy and Management and Management of Technology and Innovation. According to data from OpenAlex, Stefano Bianchini has authored 21 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 6 papers in Strategy and Management and 6 papers in Management of Technology and Innovation. Recurrent topics in Stefano Bianchini's work include Firm Innovation and Growth (7 papers), Innovation Policy and R&D (6 papers) and Corporate Finance and Governance (5 papers). Stefano Bianchini is often cited by papers focused on Firm Innovation and Growth (7 papers), Innovation Policy and R&D (6 papers) and Corporate Finance and Governance (5 papers). Stefano Bianchini collaborates with scholars based in France, Italy and Switzerland. Stefano Bianchini's co-authors include Gabriele Pellegrino, Giacomo Damioli, Claudia Ghisetti, Federico Tamagni, Patrick Llerena, Giulio Bottazzi, Michele Pezzoni, Francesco Lissoni, Lorenzo Zirulia and Jackie Krafft and has published in prestigious journals such as Research Policy, Ecological Economics and Technological Forecasting and Social Change.

In The Last Decade

Stefano Bianchini

18 papers receiving 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stefano Bianchini 286 116 104 71 38 21 481
Ana Paula Faria 248 0.9× 90 0.8× 127 1.2× 115 1.6× 34 0.9× 23 502
Atsushi Ohyama 236 0.8× 146 1.3× 146 1.4× 142 2.0× 25 0.7× 19 462
Manuel Almodóvar González 219 0.8× 90 0.8× 68 0.7× 30 0.4× 35 0.9× 17 415
Helen McGuirk 226 0.8× 112 1.0× 155 1.5× 54 0.8× 25 0.7× 10 468
Jacob Rubæk Holm 259 0.9× 62 0.5× 106 1.0× 90 1.3× 52 1.4× 33 478
Nikolas Zolas 289 1.0× 105 0.9× 94 0.9× 53 0.7× 28 0.7× 22 451
Ximing Yin 137 0.5× 97 0.8× 129 1.2× 43 0.6× 37 1.0× 29 457
Antonio Fernández Portillo 225 0.8× 97 0.8× 107 1.0× 40 0.6× 34 0.9× 30 515
Maria Brouwer 209 0.7× 86 0.7× 145 1.4× 136 1.9× 23 0.6× 20 457
Valentina Diana Rusu 231 0.8× 196 1.7× 123 1.2× 75 1.1× 22 0.6× 32 476

Countries citing papers authored by Stefano Bianchini

Since Specialization
Citations

This map shows the geographic impact of Stefano Bianchini'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 Stefano Bianchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Bianchini more than expected).

Fields of papers citing papers by Stefano Bianchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Bianchini. 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 Stefano Bianchini. The network helps show where Stefano Bianchini may publish in the future.

Co-authorship network of co-authors of Stefano Bianchini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Bianchini. A scholar is included among the top collaborators of Stefano Bianchini 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 Stefano Bianchini. Stefano Bianchini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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