Name
Title | ||
|---|---|---|
Evaluating and ranking patents with multiple criteria: How many criteria are required to find the most promising patents? |
Abstract | ||
|---|---|---|
•A novel methodology to evaluate and rank patents is proposed.•We propose eight criteria to rank patents.•An intuitive linear optimization formulation is proposed to determine criteria weights.•We automated and tested our methodology in a web-based decision support system.•We validate our methodology through several studies in chemical R&D analytics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compchemeng.2019.01.011 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Decision support systems,Multiple criteria analysis,Text analytics,Patent rankings,Optimization | Linear optimization problem,Mathematical optimization,Multiple criteria,Ranking,Decision support system,Citation analysis,Technological change,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
123 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 20 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolaos Ploskas | 1 | 23 | 6.91 |
| Tong Zhang | 2 | 53 | 18.56 |
| Nikolaos V. Sahinidis | 3 | 1909 | 136.89 |
| Flor A. Castillo | 4 | 0 | 0.34 |
| Krishnan Sankaranarayanan | 5 | 0 | 0.34 |