The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research
Open accessAbstract
This paper assesses the validity and accuracy of firms' backward patent citations as a measure of knowledge flows from public research by employing a newly constructed data set that matches patents to survey data at the level of the research and development lab. Using survey-based measures of the dimensions of knowledge flows, we identify sources of systematic measurement error associated with backward citations to both patent and nonpatent references. We find that patent citations reflect the codified knowledge flows from public research, but they appear to miss knowledge flows that are more private and contract based in nature, as well as those used in firm basic research. We also find that firms' patenting and citing strategies affect patent citations, making citations less indicative of knowledge flows. In addition, an illustrative analysis examining the magnitude and direction of measurement error bias suggests that measuring knowledge flows with patent citations can lead to substantial underestimation of the effect of public research on firms' innovative performance. Throughout our analyses we find that nonpatent references (e.g., journals, conferences, etc.), not the more commonly used patent references, are a better measure of knowledge originating from public research. This paper was accepted by Lee Fleming, entrepreneurship and innovation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations
Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993) · The Quarterly Journal of Economics · doi:10.2307/2118401 · Cited by 7,791
Patent Statistics as Economic Indicators: A Survey
Griliches, Z. (1990) · National Bureau of Economic Research · doi:10.3386/w3301 · Cited by 5,828
von Hippel, E. (2007) · Das Summa Summarum des Management · doi:10.1007/978-3-8349-9320-5_10 · Cited by 5,098
The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools
Hall, B., Jaffe, A., & Trajtenberg, M. (2001) · National Bureau of Economic Research · doi:10.3386/w8498 · Cited by 3,507
Cohen, W., Nelson, R., & Walsh, J. (2000) · National Bureau of Economic Research · doi:10.3386/w7552 · Cited by 3,025
Self-citationScience and Engineering Indicators
Washington, E., & Warren, M. E. (2004) · Cited by 2,822
Beyond local search: boundary‐spanning, exploration, and impact in the optical disk industry
Rosenkopf, L., & Nerkar, A. (2001) · Strategic Management Journal · doi:10.1002/smj.160 · Cited by 2,610
Localization of Knowledge and the Mobility of Engineers in Regional Networks
Almeida, P., & Kogut, B. (1999) · Management Science · doi:10.1287/mnsc.45.7.905 · Cited by 2,565
Links and Impacts: The Influence of Public Research on Industrial R&D
Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002) · Management Science · doi:10.1287/mnsc.48.1.1.14273 · Cited by 2,269
Self-citationMeasurement Error in Nonlinear Models
Carroll, R. J., Ruppert, D., Stefanski, L. A., & Crainiceanu, C. M. (2006) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420010138 · Cited by 2,116
Cited by
Belderbos, R., Cassiman, B., Faems, D., Leten, B., & Van Looy, B. (2014) · Research Policy · doi:10.1016/j.respol.2013.08.013 · Cited by 351
Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules
Azoulay, P., Graff Zivin, J. S., Li, D., & Sampat, B. N. (2019) · The Review of Economic Studies · doi:10.1093/restud/rdy034 · Cited by 349
Forman, C., & van Zeebroeck, N. (2019) · Research Policy · doi:10.1016/j.respol.2018.10.021 · Cited by 305
Reliance on science: Worldwide front‐page patent citations to scientific articles
Marx, M., & Fuegi, A. (2020) · Strategic Management Journal · doi:10.1002/smj.3145 · Cited by 266
Contribution of NIH funding to new drug approvals 2010–2016
Galkina Cleary, E., Beierlein, J. M., Khanuja, N. S., McNamee, L. M., & Ledley, F. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715368115 · Cited by 248
Metadata
- Authors
- Roach, M., & Cohen, W. M.
- Venue
- Management Science
- Published
- 2013-02
- Volume
- 59
- Issue
- 2
- Pages
- 504-525
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2035687655
- Cited by
- 302
- References
- 49
- FWCI
- 34.90
- Type
- journal article
- Language
- en
- Open access
- green
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research. https://app.cochat.ai/papers/10.1287/mnsc.1120.1644
- The paper
- Roach, M., & Cohen, W. M. (2013). Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research. Management Science. https://doi.org/10.1287/mnsc.1120.1644
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.