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This website describes data collection, processing, and different open access data files related to measuring the position and differentiation of firms in technology space. The document "0_Data Description Zenodo.pdf" below provides more details. If you use the code or data, please cite the following paper: Arts S, Cassiman B, Hou J (2023). Position and Differentiation of Firms in Technology Space. Management Science 69 (12): 7253-7265. https://doi.org/10.1287/mnsc.2023.00282 The data matching U.S. public firms to U.S. patents comes from the DISCERN patent database (available from: https://zenodo.org/record/3709084). Please cite the following paper if you use this data: Arora A, Belenzon S, Sheer L (2021) Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. Research Policy 50(5):104217.
patent, NLP, firm technology portfolio, technology space
patent, NLP, firm technology portfolio, technology space
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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