Patent-to-Paper Citations

The datafile containing the citations is pcsoa.csv. (Click on DOWNLOAD DATA to retrieve.) Each citation has the applicant/examiner flag, confidence score (1-10), whether the reference was a) only on the front page, b) only in the body text, or c) in both, and an indicator for a self-citation (i.e., one of the authors is an inventor on the patent).

There are two "shorthand" files, pcscountsbypatent.csv and pcscountsbypaper.csv, which collapse these to the paper and patent level by citation type: https://zenodo.org/records/10215169

If you use the data, please cite these two articles：

1. M. Marx & A. Fuegi, "Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations." forthcoming in Journal of Economics and Management Strategy. (http://doi.org/10.1111/jems.12455)

2. M. Marx, & A. Fuegi, "Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles" (2020), Strategic Management Journal 41(9):1572-1594. (https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145).

Note that we link to papers captured by OpenAlex. We provide a redistribution of select OpenAlex data here.