Anthony Breitzman

TL;DR: The authors draw on 38 years of combined patent-related experience to discuss a number of techniques and metrics that have been found to work well in specific situations.

TL;DR: In this article, a portfolio selector technique is described for selecting publicly traded companies to include in a stock market portfolio, based on a technology score derived from the patent indicators of a set of technology companies with significant patent portfolios.

TL;DR: Patent analysis can be used for several aspects of Merger & acquisition activities, including targeting, due-diligence, compatibility, and valuation as discussed by the authors, and it can also be used to ensure that the target company's technology infrastructure is sound and that its key inventors still work at the company.

TL;DR: It is revealed that patents in emerging clusters consistently have a significantly higher impact on subsequent technological developments than patents outside these clusters, which suggests that the Emerging Clusters Model may be a useful tool for identifying interesting new technologies as they emerge.

TL;DR: For example, this paper found that a US paper among the top 1% most highly cited papers is nine times more likely to be cited by a US patent than a randomly chosen US paper.