The prevalence of weak patents in the United States
A new method to identify weak patents and the implications for patent policy
Bibliographic Data
| ID | 11238944 |
|---|---|
| Authors | Seokbeom Kwon (0000-0003-4074-9342, The University of Tokyo, corresponding author) |
| Year | 2021 |
| Volume | 64 |
| Pages | 101469 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2020.101469 |
| OpenAlex | W3113093268 |
| Language | EN |
| Citations received | 2 |
| References cited | 42 |
Actuarial science · Business · Data science · Economics · Incentive · Intellectual property · Microeconomics · Patent analysis · Patent application · Patent law · Patent portfolio · Patent troll · Political science · Computer Science · Firm Innovation and Growth · Innovation Policy and RD · Intellectual Property and Patents · Law
The Importance of Patent Scope
Protecting Their Intellectual Assets
The Patent Paradox Revisited
The NBER Patent Citation Data File
Patent Statistics as an Innovation Indicator
Misclassification between Patent Offices
Examiner Characteristics and Patent Office Outcomes
Strategic Citation
What's wrong with the patent system? Fuzzy boundaries and the patent tax
Preemptive patenting, human genomics, and the US biotechnology sector
The impact of biotechnology on patent law
Technology standards development, patent ambush, and US antitrust policy
Evergreening
Probabilistic Patents
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |