Massimo Garbuio

1.2k total citations
27 papers, 754 citations indexed

About

Massimo Garbuio is a scholar working on Strategy and Management, Management Science and Operations Research and Experimental and Cognitive Psychology. According to data from OpenAlex, Massimo Garbuio has authored 27 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Strategy and Management, 7 papers in Management Science and Operations Research and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Massimo Garbuio's work include Innovation and Knowledge Management (7 papers), Design Education and Practice (5 papers) and Creativity in Education and Neuroscience (5 papers). Massimo Garbuio is often cited by papers focused on Innovation and Knowledge Management (7 papers), Design Education and Practice (5 papers) and Creativity in Education and Neuroscience (5 papers). Massimo Garbuio collaborates with scholars based in Australia, United Kingdom and Denmark. Massimo Garbuio's co-authors include Nidthida Lin, Dan Lovallo, Andy Dong, Adelaide Wilcox King, Bent Flyvbjerg, Ted Tschang, Allison Stewart, Arne Rønnest, Eric Molin and Chantal C. Cantarelli and has published in prestigious journals such as Journal of Management, Journal of Product Innovation Management and California Management Review.

In The Last Decade

Massimo Garbuio

23 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Garbuio Australia 10 288 221 135 102 97 27 754
Fleur Deken Netherlands 12 232 0.8× 103 0.5× 116 0.9× 108 1.1× 52 0.5× 19 564
Ann Ledwith Ireland 17 543 1.9× 322 1.5× 221 1.6× 53 0.5× 212 2.2× 38 1.1k
Mario Bourgault Canada 17 416 1.4× 347 1.6× 107 0.8× 37 0.4× 223 2.3× 61 1.1k
Elspeth McFadzean United Kingdom 16 186 0.6× 84 0.4× 178 1.3× 96 0.9× 96 1.0× 31 841
Sylvain Lenfle France 15 389 1.4× 381 1.7× 142 1.1× 53 0.5× 94 1.0× 29 725
Marion Poetz Denmark 8 284 1.0× 111 0.5× 158 1.2× 43 0.4× 144 1.5× 28 1.2k
van Je Joan Aken Netherlands 7 187 0.6× 150 0.7× 130 1.0× 78 0.8× 174 1.8× 17 744
Katharina Hölzle Germany 13 477 1.7× 173 0.8× 273 2.0× 32 0.3× 67 0.7× 41 920
Anja Schulze Switzerland 11 558 1.9× 128 0.6× 198 1.5× 44 0.4× 116 1.2× 18 881
S. G. Green United States 8 561 1.9× 276 1.2× 204 1.5× 31 0.3× 154 1.6× 8 970

Countries citing papers authored by Massimo Garbuio

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Garbuio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Garbuio

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

All Works

20 of 20 papers shown
1.
Garbuio, Massimo, et al.. (2024). How Do Stereotypical Representations Affect Judgments of New Product Success? An Empirical Investigation. IEEE Transactions on Engineering Management. 71. 8503–8516.
2.
Davis, Teresa, Massimo Garbuio, Henry Leung, et al.. (2023). Closer than ever: Growing business-level connections between Australia and Europe. European Management Journal. 41(2). 181–190. 2 indexed citations
3.
Robinson, Sarah, Maral Muratbekova‐Touron, Christian Linder, et al.. (2022). 40th anniversary editorial: Looking backwards to move forward in management research. European Management Journal. 40(4). 459–466. 9 indexed citations
4.
Garbuio, Massimo, Dimitria Groutsis, Sandra Peter, et al.. (2022). Conquering ‘the tyranny of distance’: Australian–European economic and geopolitical relationships past, present and future. European Management Journal. 40(3). 310–319. 3 indexed citations
5.
Garbuio, Massimo, et al.. (2019). 6 Building Blocks for Successful Innovation: How Entrepreneurial Leaders Design Innovative Futures. 3 indexed citations
6.
Flyvbjerg, Bent, Atif Ansar, Alexander Budzier, et al.. (2019). On de-bunking “Fake News” in the post-truth era: How to reduce statistical error in research. Transportation Research Part A Policy and Practice. 126. 409–411. 14 indexed citations
7.
Garbuio, Massimo & Nidthida Lin. (2019). Abductive Reasoning in New Venture Ideas. Academy of Management Proceedings. 2019(1). 15663–15663. 2 indexed citations
8.
Flyvbjerg, Bent, Atif Ansar, Alexander Budzier, et al.. (2018). Five Things You Should Know about Cost Overrun. SSRN Electronic Journal. 6 indexed citations
9.
Garbuio, Massimo & Nidthida Lin. (2018). Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models. California Management Review. 61(2). 59–83. 161 indexed citations
10.
Flyvbjerg, Bent, Atif Ansar, Alexander Budzier, et al.. (2018). Five things you should know about cost overrun. Transportation Research Part A Policy and Practice. 118. 174–190. 160 indexed citations
11.
Garbuio, Massimo, Andy Dong, Nidthida Lin, Ted Tschang, & Dan Lovallo. (2017). Demystifying the Genius of Entrepreneurship: How Design Cognition Can Help Create the Next Generation of Entrepreneurs. Academy of Management Learning and Education. 17(1). 41–61. 77 indexed citations
12.
Garbuio, Massimo & Dan Lovallo. (2017). Does organizational politics kill company growth?. Review of International Business and Strategy. 27(4). 410–433. 6 indexed citations
13.
Dong, Andy, Massimo Garbuio, & Dan Lovallo. (2016). Generative Sensing: A Design Perspective on the Microfoundations of Sensing Capabilities. California Management Review. 58(4). 97–117. 72 indexed citations
14.
Eisenbart, Boris, et al.. (2016). Does scheduling matter? When unscheduled decision making results in more effective meetings. Journal of strategy and management. 9(1). 15–38. 6 indexed citations
15.
Dong, Andy, Massimo Garbuio, & Dan Lovallo. (2016). Generative sensing in design evaluation. Design Studies. 45. 68–91. 30 indexed citations
16.
Dong, Andy, Massimo Garbuio, & Dan Lovallo. (2014). Robust Design Review Conversations. Purdue e-Pubs (Purdue University System). 1 indexed citations
17.
Garbuio, Massimo, Adelaide Wilcox King, & Dan Lovallo. (2011). Looking Inside: Psychological Influences on Structuring a Firm's Portfolio of Resources. SSRN Electronic Journal. 7 indexed citations
18.
Garbuio, Massimo, Adelaide Wilcox King, & Dan Lovallo. (2011). Looking Inside. Journal of Management. 37(5). 1444–1463. 63 indexed citations
19.
Flyvbjerg, Bent, Massimo Garbuio, & Dan Lovallo. (2009). Delusion and Deception in Large Infrastructure Projects: Two Models for Explaining and Preventing Executive Disaster. California Management Review. 51(2). 170–194. 18 indexed citations
20.
Garbuio, Massimo. (2008). Psychological and political influences on strategic decision making. UWA Profiles and Research Repository (University of Western Australia).

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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