Vincent Van Roy

766 total citations · 1 hit paper
20 papers, 429 citations indexed

About

Vincent Van Roy is a scholar working on Economics and Econometrics, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Vincent Van Roy has authored 20 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 6 papers in Management of Technology and Innovation and 5 papers in Strategy and Management. Recurrent topics in Vincent Van Roy's work include Innovation Policy and R&D (13 papers), Firm Innovation and Growth (12 papers) and Entrepreneurship Studies and Influences (6 papers). Vincent Van Roy is often cited by papers focused on Innovation Policy and R&D (13 papers), Firm Innovation and Growth (12 papers) and Entrepreneurship Studies and Influences (6 papers). Vincent Van Roy collaborates with scholars based in Belgium, Italy and Netherlands. Vincent Van Roy's co-authors include Dániel Vértesy, Giacomo Damioli, Marco Vivarelli, Daniel Nepelski, René Belderbos, Bart Thijs, Bart Leten, Annarosa Pesole, Leo Sleuwaegen and Antoine Proulx and has published in prestigious journals such as Research Policy, Technological Forecasting and Social Change and Environment and Planning A Economy and Space.

In The Last Decade

Vincent Van Roy

16 papers receiving 396 citations

Hit Papers

The impact of artificial intelligence on labor productivity 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Van Roy Belgium 7 280 79 63 55 44 20 429
Dániel Vértesy Italy 9 300 1.1× 92 1.2× 75 1.2× 53 1.0× 51 1.2× 33 512
Giacomo Damioli Italy 7 220 0.8× 74 0.9× 45 0.7× 31 0.6× 49 1.1× 16 379
Nikolas Zolas United States 11 290 1.0× 95 1.2× 42 0.7× 106 1.9× 42 1.0× 22 459
Emin Dinlersoz United States 13 259 0.9× 104 1.3× 59 0.9× 27 0.5× 63 1.4× 38 472
Mariagrazia Squicciarini France 8 193 0.7× 161 2.0× 29 0.5× 105 1.9× 36 0.8× 20 346
Clifford T Bekar Canada 5 292 1.0× 121 1.5× 46 0.7× 65 1.2× 57 1.3× 8 481
Daniele Moschella Italy 9 393 1.4× 112 1.4× 60 1.0× 89 1.6× 23 0.5× 22 500
Roger Adkins United Kingdom 10 201 0.7× 92 1.2× 32 0.5× 26 0.5× 48 1.1× 27 387
Oliviero A. Carboni Italy 14 410 1.5× 170 2.2× 33 0.5× 48 0.9× 43 1.0× 24 548
Chan‐Yuan Wong Taiwan 11 159 0.6× 88 1.1× 32 0.5× 88 1.6× 33 0.8× 32 361

Countries citing papers authored by Vincent Van Roy

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Van Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Van Roy. 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 Vincent Van Roy. The network helps show where Vincent Van Roy may publish in the future.

Co-authorship network of co-authors of Vincent Van Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Van Roy. A scholar is included among the top collaborators of Vincent Van Roy 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 Vincent Van Roy. Vincent Van Roy 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.
Damioli, Giacomo, Vincent Van Roy, Dániel Vértesy, & Marco Vivarelli. (2024). Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase. SSRN Electronic Journal.
2.
Damioli, Giacomo, Vincent Van Roy, Dániel Vértesy, & Marco Vivarelli. (2024). Drivers of employment dynamics of AI innovators. Technological Forecasting and Social Change. 201. 123249–123249. 14 indexed citations
3.
Damioli, Giacomo, Vincent Van Roy, Dániel Vértesy, & Marco Vivarelli. (2024). Is artificial intelligence leading to a new technological paradigm?. Structural Change and Economic Dynamics. 72. 347–359. 6 indexed citations
6.
Damioli, Giacomo, Vincent Van Roy, Dániel Vértesy, & Marco Vivarelli. (2022). AI technologies and employment: micro evidence from the supply side. Applied Economics Letters. 30(6). 816–821. 34 indexed citations
7.
Damioli, Giacomo, Vincent Van Roy, & Dániel Vértesy. (2021). The impact of artificial intelligence on labor productivity. Eurasian Economic Review. 11(1). 1–25. 165 indexed citations breakdown →
8.
Roy, Vincent Van, et al.. (2021). Detecting the labour-friendly nature of AI product innovation. RePEc: Research Papers in Economics. 1 indexed citations
9.
Belderbos, René, Vincent Van Roy, & Leo Sleuwaegen. (2020). Does trade participation limit domestic firms’ productivity gains from inward foreign direct investment?. Eurasian Economic Review. 11(1). 83–109. 5 indexed citations
10.
Cunningham, James A., Paul O’Reilly, Daire Hooper, Daniel Nepelski, & Vincent Van Roy. (2020). The Role of Project Coordinators in European Commission Framework Programme Projects. ARROW@Dublin Institute of Technology (Dublin Institute of Technology). 4 indexed citations
11.
Nepelski, Daniel & Vincent Van Roy. (2020). Innovation and innovator assessment in R&I ecosystems: the case of the EU Framework Programme. The Journal of Technology Transfer. 46(3). 792–827. 14 indexed citations
12.
Nepelski, Daniel, Vincent Van Roy, & Annarosa Pesole. (2018). The organisational and geographic diversity and innovation potential of EU-funded research networks. The Journal of Technology Transfer. 44(2). 359–380. 19 indexed citations
13.
Roy, Vincent Van, Dániel Vértesy, & Marco Vivarelli. (2018). Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms. Research Policy. 47(9). 1762–1776. 117 indexed citations
14.
Roy, Vincent Van & Marco Vivarelli. (2016). The Job-Creation Effect of Patents: Some Evidence from European Microdata. SSRN Electronic Journal. 2 indexed citations
15.
Roy, Vincent Van, Dániel Vértesy, & Marco Vivarelli. (2015). Innovation and Employment in Patenting Firms: Empirical Evidence from Europe. Joint Research Centre (European Commission). 3 indexed citations
16.
Roy, Vincent Van, Dániel Vértesy, & Marco Vivarelli. (2015). Innovation and Employment in Patenting Firms: Empirical Evidence from Europe. SSRN Electronic Journal. 6 indexed citations
17.
Belderbos, René, Vincent Van Roy, Bart Leten, & Bart Thijs. (2014). Academic Research Strengths and Multinational Firms' Foreign R&D Location Decisions: Evidence from R&D Investments in European Regions. Environment and Planning A Economy and Space. 46(4). 920–942. 33 indexed citations
18.
Belderbos, René, Vincent Van Roy, Bart Leten, & Bart Thijs. (2014). Academic Research Strengths and Multinational Firmss Foreign R&D Location Decisions: Evidence from Foreign R&D Projects in European Regions. SSRN Electronic Journal.
19.
Belderbos, René, et al.. (2010). International and Domestic Technology Transfers and Productivity Growth: Firm Level Evidence. SSRN Electronic Journal. 1 indexed citations
20.
Belderbos, René & Vincent Van Roy. (2010). Productivity Spillovers from Foreign Affiliates and Domestic Firm Internationalization: Firm-Level Evidence for Belgium. Lirias (KU Leuven). 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.

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