Laura Ramaciotti

654 total citations
19 papers, 445 citations indexed

About

Laura Ramaciotti is a scholar working on Management of Technology and Innovation, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Laura Ramaciotti has authored 19 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management of Technology and Innovation, 13 papers in Economics and Econometrics and 6 papers in Strategy and Management. Recurrent topics in Laura Ramaciotti's work include Entrepreneurship Studies and Influences (13 papers), Innovation Policy and R&D (8 papers) and Innovation and Knowledge Management (6 papers). Laura Ramaciotti is often cited by papers focused on Entrepreneurship Studies and Influences (13 papers), Innovation Policy and R&D (8 papers) and Innovation and Knowledge Management (6 papers). Laura Ramaciotti collaborates with scholars based in Italy, Sweden and United Kingdom. Laura Ramaciotti's co-authors include Ugo Rizzo, Alessandro Muscio, Davide Quaglione, Francesco Nicolli, Davide Antonioli, Sotaro Shibayama, Nicolò Barbieri, Patrizio Bianchi, Giulia Bettin and Chiara Marzocchi and has published in prestigious journals such as Research Policy, Technovation and Regional Studies.

In The Last Decade

Laura Ramaciotti

18 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Ramaciotti Italy 11 328 157 122 120 67 19 445
Taylor Aldridge United States 10 354 1.1× 183 1.2× 163 1.3× 117 1.0× 52 0.8× 11 477
Devrim Göktepe‐Hultén Sweden 11 281 0.9× 148 0.9× 154 1.3× 75 0.6× 60 0.9× 18 387
Sharon Dolmans Netherlands 8 232 0.7× 87 0.6× 106 0.9× 77 0.6× 116 1.7× 24 408
Alice Civera Italy 10 181 0.6× 66 0.4× 99 0.8× 60 0.5× 38 0.6× 26 303
Paige Clayton United States 8 228 0.7× 83 0.5× 93 0.8× 117 1.0× 41 0.6× 17 312
Jean‐Pierre Boissin France 11 362 1.1× 116 0.7× 199 1.6× 136 1.1× 171 2.6× 37 522
Mette Mønsted Denmark 6 213 0.6× 48 0.3× 137 1.1× 53 0.4× 123 1.8× 16 360
Zelimir W Todorovic United States 10 248 0.8× 56 0.4× 111 0.9× 53 0.4× 104 1.6× 20 352
Curtis R. Sproul United States 5 267 0.8× 74 0.5× 61 0.5× 106 0.9× 112 1.7× 8 362
Luis Cisneros Canada 8 156 0.5× 36 0.2× 54 0.4× 105 0.9× 137 2.0× 26 336

Countries citing papers authored by Laura Ramaciotti

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ramaciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ramaciotti

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

All Works

19 of 19 papers shown
1.
Marzocchi, Chiara, et al.. (2023). A patent-based analysis of the evolution of basic, mission-oriented, and applied research in European universities. The Journal of Technology Transfer. 49(2). 609–641. 10 indexed citations
2.
Barbieri, Nicolò, Laura Ramaciotti, & Ugo Rizzo. (2022). The relationship between R&D knowledge spillovers and employment entry. The Annals of Regional Science. 71(3). 671–695. 1 indexed citations
3.
Muscio, Alessandro, Sotaro Shibayama, & Laura Ramaciotti. (2021). Universities and start-up creation by Ph.D. graduates: the role of scientific and social capital of academic laboratories. The Journal of Technology Transfer. 47(1). 147–175. 24 indexed citations
4.
Muscio, Alessandro & Laura Ramaciotti. (2019). How does academia influence Ph.D. entrepreneurship? New insights on the entrepreneurial university. Technovation. 82-83. 16–24. 48 indexed citations
5.
Muscio, Alessandro & Laura Ramaciotti. (2018). Dataset from a qualitative survey on Ph.D. entrepreneurship in Italy. Data in Brief. 18. 1272–1276. 3 indexed citations
6.
Ramaciotti, Laura, et al.. (2018). La rete del trasferimento tecnologico si rafforza con la clinical innovation. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 14. 20–22. 5 indexed citations
7.
Rizzo, Ugo, et al.. (2018). The division of labour between academia and industry for the generation of radical inventions. The Journal of Technology Transfer. 45(2). 393–413. 23 indexed citations
8.
Bettin, Giulia, Patrizio Bianchi, Francesco Nicolli, Laura Ramaciotti, & Ugo Rizzo. (2018). Migration, ethnic concentration and firm entry: evidence from Italian regions. Regional Studies. 53(1). 55–66. 25 indexed citations
9.
Muscio, Alessandro, Laura Ramaciotti, & Ugo Rizzo. (2016). The complex relationship between academic engagement and research output: Evidence from Italy. Science and Public Policy. scw057–scw057. 20 indexed citations
10.
Antonioli, Davide, Francesco Nicolli, Laura Ramaciotti, & Ugo Rizzo. (2016). The Effect of Intrinsic and Extrinsic Motivations on Academics’ Entrepreneurial Intention. Administrative Sciences. 6(4). 15–15. 58 indexed citations
11.
Ramaciotti, Laura, Alessandro Muscio, & Ugo Rizzo. (2016). The impact of hard and soft policy measures on new technology-based firms. Regional Studies. 51(4). 629–642. 25 indexed citations
12.
Muscio, Alessandro, Davide Quaglione, & Laura Ramaciotti. (2016). The effects of university rules on spinoff creation: The case of academia in Italy. Research Policy. 45(7). 1386–1396. 109 indexed citations
13.
Bax, Ad, et al.. (2014). “Unire i puntini per completare il disegno dell'innovazione” - Undicesimo rapporto Netval sulla valorizzazione della ricerca nelle università italiane.. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 1 indexed citations
14.
Ramaciotti, Laura & Ugo Rizzo. (2014). The determinants of academic spin‐off creation by Italian universities. R and D Management. 45(5). 501–514. 56 indexed citations
15.
Rizzo, Ugo, et al.. (2014). From services dealers to innovation brokers. Journal of Intellectual Capital. 15(4). 554–575. 8 indexed citations
16.
Rizzo, Ugo & Laura Ramaciotti. (2014). The determinants of academic patenting by Italian universities. Technology Analysis and Strategic Management. 26(4). 469–483. 24 indexed citations
17.
Rizzo, Ugo, Francesco Nicolli, & Laura Ramaciotti. (2013). The development process of new technology-based firms. International Journal of Entrepreneurship and Innovation Management. 17(4/5/6). 352–352. 2 indexed citations
18.
Tommaso, Marco R. Di & Laura Ramaciotti. (2010). Academic knowledge transfer to industry. Italy: spin-off practices and policies. International Journal of Healthcare Technology and Management. 11(5). 409–409. 3 indexed citations
19.
Ramaciotti, Laura. (1999). Il settore aerospaziale: alleanze strategiche e globalizzazione. L'industria. 489–510.

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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