The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The relative effectiveness of patents and secrecy for appropriation
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Citations
Cites
Health Measurement Scales: A Practical Guide to Their Development and Use
Streiner, D. L., Norman, G. R., & Cairney, J. (1989) · Cited by 9,595
Appropriating the Returns from Industrial Research and Development
Levin, R. C., Klevorick, A. K., Nelson, R. R., Winter, S. G., Gilbert, R., & Griliches, Z. (1987) · Brookings Papers on Economic Activity · doi:10.2307/2534454 · Cited by 3,772
Entry, Exit, Growth, and Innovation over the Product Life Cycle
Klepper, S. (1996) · American Economic Review · Cited by 2,384
Health Measurement Scales--A Practical Guide to Their Development and Use
Waclawski, E. R. (2010) · Occupational Medicine · doi:10.1093/occmed/kqp179 · Cited by 1,874
Standing on the Shoulders of Giants: Cumulative Research and the Patent Law
Scotchmer, S. (1991) · Journal of Economic Perspectives · doi:10.1257/jep.5.1.29 · Cited by 1,302
What percentage of innovations are patented? empirical estimates for European firms
Arundel, A., & Kabla, I. (1998) · Research Policy · doi:10.1016/s0048-7333(98)00033-x · Cited by 991
Self-citationInterpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
Liao, T. F. (1994) · Medical Entomology and Zoology · Cited by 960
The benefits and costs of strong patent protection: a contribution to the current debate
Mazzoleni, R., & Nelson, R. R. (1998) · Research Policy · doi:10.1016/s0048-7333(98)00048-1 · Cited by 622
Innovative output, and a firm's propensity to patent.
Brouwer, E., & Kleinknecht, A. (1999) · Research Policy · doi:10.1016/s0048-7333(99)00003-7 · Cited by 577
Firm Size, Market Structure, Opportunity, and the Output of Patented Inventions
Scherer, F. M. (2005) · Patents · doi:10.4337/9781035352845.00016 · Cited by 557
Cited by
Fifty Years of Empirical Studies of Innovative Activity and Performance
Cohen, W. M. (2010) · Handbook of the Economics of Innovation · doi:10.1016/s0169-7218(10)01004-x · Cited by 962
Selective revealing in open innovation processes: The case of embedded Linux
Henkel, J. (2006) · Research Policy · doi:10.1016/j.respol.2006.04.010 · Cited by 759
R&D spillovers, patents and the incentives to innovate in Japan and the United States
Cohen, W. M., Goto, A., Nagata, A., Nelson, R. R., & Walsh, J. P. (2002) · Research Policy · doi:10.1016/s0048-7333(02)00068-9 · Cited by 707
Protection of trade secrets and capital structure decisions
Klasa, S., Ortiz-Molina, H., Serfling, M., & Srinivasan, S. (2018) · Journal of Financial Economics · doi:10.1016/j.jfineco.2018.02.008 · Cited by 448
How should firms evaluate success in university–industry alliances? A performance measurement system
Perkmann, M., Neely, A., & Walsh, K. (2011) · R&D Management · doi:10.1111/j.1467-9310.2011.00637.x · Cited by 416
Metadata
- Authors
- Arundel, A.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2001-04
- Volume
- 30
- Issue
- 4
- Pages
- 611-624
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2086519041
- Cited by
- 848
- References
- 16
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: The relative effectiveness of patents and secrecy for appropriation. https://app.cochat.ai/papers/10.1016/s0048-7333(00)00100-1
- The paper
- Arundel, A. (2001). The relative effectiveness of patents and secrecy for appropriation. Research Policy. https://doi.org/10.1016/s0048-7333(00)00100-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
