The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Economics of Science
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
Coase, R. H. (1937) · Economica · doi:10.1111/j.1468-0335.1937.tb00002.x · Cited by 23,972
Innovation and Learning: The Two Faces of R & D
Cohen, W. M., & Levinthal, D. A. (1989) · The Economic Journal · doi:10.2307/2233763 · Cited by 7,530
The Matthew Effect in Science: The reward and communication systems of science are considered.
Merton, R. K. (1968) · Science · doi:10.1126/science.159.3810.56 · Cited by 6,720
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
Toward a new economics of science
Partha, D., & David, P. A. (1994) · Research Policy · doi:10.1016/0048-7333(94)01002-1 · Cited by 2,448
The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property
Merton, R. K. (1988) · Isis · doi:10.1086/354848 · Cited by 1,397
The Human Genome Project: Lessons from Large-Scale Biology
Collins, F. S., Morgan, M., & Patrinos, A. (2003) · Science · doi:10.1126/science.1084564 · Cited by 1,284
The Burden of Knowledge and the “Death of the Renaissance Man”: Is Innovation Getting Harder?
JONES, B. F. (2009) · Review of Economic Studies · doi:10.1111/j.1467-937x.2008.00531.x · Cited by 1,058
Some bibliometric correlates of quality in scientific research
Lawani, S. M. (1986) · Scientometrics · doi:10.1007/bf02016604 · Cited by 222
Cited by
Open source software and the “private-collective” innovation model: Issues for organization science
Hippel, E. V., & Krogh, G. V. (2003) · Organization Science · doi:10.1287/orsc.14.2.209.14992 · Cited by 2,145
Investigating the factors that diminish the barriers to university–industry collaboration
Bruneel, J., D’Este, P., & Salter, A. (2010) · Research Policy · doi:10.1016/j.respol.2010.03.006 · Cited by 1,400
Health metrics and evaluation: strengthening the science
Murray, C. J., & Frenk, J. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60526-7 · Cited by 849
Roach, M., & Sauermann, H. (2010) · Research Policy · doi:10.1016/j.respol.2010.01.004 · Cited by 520
Earnings Dynamics, Changing Job Skills, and STEM Careers*
Deming, D. J., & Noray, K. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaa021 · Cited by 418
Misinformation in and about science
West, J. D., & Bergstrom, C. T. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912444117 · Cited by 391
The double-edged sword of industry collaboration: Evidence from engineering academics in the UK
Banal-Estañol, A., Jofre-Bonet, M., & Lawson, C. (2015) · Research Policy · doi:10.1016/j.respol.2015.02.006 · Cited by 205
The incidence and role of negative citations in science
Catalini, C., Lacetera, N., & Oettl, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502280112 · Cited by 189
Governing knowledge in the scientific community: Exploring the role of retractions in biomedicine
Furman, J. L., Jensen, K., & Murray, F. (2012) · Research Policy · doi:10.1016/j.respol.2011.11.001 · Cited by 151
How the publish-or-perish principle divides a science: the case of economists
van Dalen, H. P. (2021) · Scientometrics · doi:10.1007/s11192-020-03786-x · Cited by 128
The scientific economy of attention: A novel approach to the collective rationality of science
Franck, G. (2002) · Scientometrics · doi:10.1023/a:1016059402618 · Cited by 66
Ribeiro, B., Meckin, R., Balmer, A., & Shapira, P. (2023) · Research Policy · doi:10.1016/j.respol.2022.104607 · Cited by 51
Active versus passive academic networking: Evidence from micro-level data
Goel, R. K., & Grimpe, C. (2013) · The Journal of Technology Transfer · doi:10.1007/s10961-011-9236-5 · Cited by 21
Metadata
- Authors
- Stephan, P. E.
- Venue
- Handbook of the Economics of Innovation
- Publisher
- Elsevier
- Published
- 2010
- Volume
- 1
- Pages
- 217-273
- ISSN
- 2210-8807 (ISSN-L)
- OpenAlex
- W1522203109
- Cited by
- 906
- References
- 9
- FWCI
- 285.64
- Type
- book chapter
- 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.
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
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.