Sam Arts
Impact in
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- Intellectual Property and Patents
- Strategy and Management top 5%
- Innovation and Knowledge Management
Papers in
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- Intellectual Property and Patents 11
- Entrepreneurship Studies and Influences 2
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- Research, Science, and Academia 4
- Co-authors
- Juan Carlos Gómez (3 shared papers)Reinhilde Veugelers (7 shared papers)Bruno Cassiman (6 shared papers)Lee Fleming (1 shared paper)Francesco Paolo Appio (2 shared papers)Ivanka Visnjic (1 shared paper)Dimo P. Ringov (1 shared paper)Bart Van Looy (2 shared papers)
In The Last Decade
Sam Arts
15 papers receiving 744 citations
Peers
Comparison fields: 5 of 52
- Management of Technology and Innovation 401
- Strategy and Management 205
- Statistics, Probability and Uncertainty 57
- Marketing 62
- Economics and Econometrics 92
Countries citing papers authored by Sam Arts
This map shows the geographic impact of Sam Arts'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 Sam Arts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Arts more than expected).
Fields of papers citing papers by Sam Arts
This network shows the impact of papers produced by Sam Arts. 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 Sam Arts. The network helps show where Sam Arts may publish in the future.
Co-authors
The 8 scholars most cited alongside Sam Arts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 168 | |
| 2 | 2020 | 153 | |
| 3 | 2014 | 137 | |
| 4 | 2018 | 84 | |
| 5 | 2018 | 56 | |
| 6 | 2013 | 53 | |
| 7 | 2018 | 47 | |
| 8 | 2023 | 25 | |
| 9 | 2020 | 14 | |
| 10 | 2025 | 9 | |
| 11 | 2025 | 8 | |
| 12 | Text Mining to Measure Novelty and Diffusion of Technological Innovation. | 2019 | 4 |
| 13 | Tracing the effect of links between science and industry: The role of researcher interaction and mobility between firms and research organizations | 2009 | 3 |
| 14 | Validating Patent Indicators that Asses Technological Radicalness: The Case of Biotechnology | 2012 | 3 |
| 15 | 2012 | 1 | |
| 16 | 2025 | 0 |
About Sam Arts
Sam Arts is a scholar working on Management of Technology and Innovation, Information Systems and Management, Strategy and Management, Statistics, Probability and Uncertainty and General Social Sciences, having authored 16 papers that have together received 765 indexed citations. Recurring topics across this work include Intellectual Property and Patents (11 papers), Research, Science, and Academia (4 papers), Innovation and Knowledge Management (3 papers), scientometrics and bibliometrics research (2 papers), Entrepreneurship Studies and Influences (2 papers), Science, Technology, and Education in Latin America (1 paper), Firm Innovation and Growth (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Management of Technology and Innovation (401 citations), Strategy and Management (205 citations), Statistics, Probability and Uncertainty (57 citations), Marketing (62 citations) and Economics and Econometrics (92 citations). Sam Arts has collaborated with scholars based in Belgium, Spain and China. Frequent co-authors include Juan Carlos Gómez, Reinhilde Veugelers, Bruno Cassiman, Lee Fleming, Francesco Paolo Appio, Ivanka Visnjic, Dimo P. Ringov and Bart Van Looy. Their work appears in journals such as Research Policy, Strategic Management Journal, Industrial and Corporate Change, Organization Science and Management Science.
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.