Vincent Van Roy

16 papers receiving 396 citations

Hit Papers

The impact of artificial intelligence on labor productivity2021202620222024202150100150

Peers

Vincent Van Roy
Comparison fields: 5 of 60
  • Economics and Econometrics 280
  • Strategy and Management 79
  • Sociology and Political Science 63
  • Management of Technology and Innovation 55
  • Management Science and Operations Research 44
Replace Giacomo Damioli with:
Giacomo Damioli Italy
Dániel Vértesy Italy
Emin Dinlersoz United States
Nikolas Zolas United States
Clifford T Bekar Canada
Gastón P. Fernández Germany
Johan Lindeque Switzerland
Suhaib Anagreh United Arab Emirates
Oliviero A. Carboni Italy
Vincent Van Roy relative to Giacomo Damioli Italy Giacomo Damioli's profile →
Citations per field
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Giacomo Damioli · 1×
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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
#WorkIndexed citations
1 0
2 14
3 6
4 3
5 1
6 34
7
The impact of artificial intelligence on labor productivitybreakdown →
165
8
Detecting the labour-friendly nature of AI product innovation
1
9 5
10 4
11 14
12 19
13 117
14 2
15 3
16 6
17 33
18 0
19 1
20
Productivity Spillovers from Foreign Affiliates and Domestic Firm Internationalization: Firm-Level Evidence for Belgium
1

About Vincent Van Roy

Vincent Van Roy is a scholar working on Management of Technology and Innovation, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 20 papers that have together received 429 indexed citations. Recurring topics across this work include Innovation Policy and R&D (13 papers), Firm Innovation and Growth (12 papers) and Entrepreneurship Studies and Influences (6 papers). The work is most often cited by research in Economics and Econometrics (280 citations), Management of Technology and Innovation (55 citations) and Strategy and Management (79 citations). Vincent Van Roy has collaborated with scholars based in Belgium, Italy and Netherlands. Frequent co-authors include Dániel Vértesy, Giacomo Damioli, Marco Vivarelli, Daniel Nepelski, René Belderbos, Bart Thijs, Bart Leten, Annarosa Pesole, Leo Sleuwaegen and Antoine Proulx. Their work appears in journals such as Research Policy, Technological Forecasting and Social Change and Environment and Planning A Economy and Space.

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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