Name
Title | ||
|---|---|---|
A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale? |
Abstract | ||
|---|---|---|
This study advances a four-part indicator for technical emergence. While doing so it focuses on a particular class of emergent concepts--those which display the ability to repeatedly maintain an emergent status over multiple time periods. The authors refer to this quality as staying power and argue that those concepts which maintain this ability are deserving of greater attention. The case study we consider consists of 15 subdatatsets within the dye-sensitized solar cell framework. In this study the authors consider the impact technical domain and scale have on the behavior of persistently emergent concepts and test which of these has a greater influence. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11192-017-2342-x | Scientometrics |
Keywords | Field | DocType |
Technical emergence,Technology space,Staying power | Data science,Data mining,Computer science,Artificial intelligence | Journal |
Volume | Issue | ISSN |
111 | 3 | 0138-9130 |
Citations | PageRank | References |
3 | 0.45 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen Carley | 1 | 90 | 6.68 |
| Nils Newman | 2 | 77 | 7.07 |
| Alan L. Porter | 3 | 398 | 32.61 |
| Jon Garner | 4 | 9 | 1.57 |