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Full-Text PDF | GitHub Repository Title: D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research Authors: Jan Philip Wahle, Terry Ruas, Saif M. Mohammad, and Bela Gipp Contact email: hello@jpwahle.com; ruas@uni-goettingen.de Venue: LREC Year: 2022
FOS: Computer and information sciences, Computer Science - Computation and Language, AI, research trends, Computer Science - Digital Libraries, Digital Libraries (cs.DL), computer science, DBLP, Computation and Language (cs.CL), scientometrics, NLP
FOS: Computer and information sciences, Computer Science - Computation and Language, AI, research trends, Computer Science - Digital Libraries, Digital Libraries (cs.DL), computer science, DBLP, Computation and Language (cs.CL), scientometrics, NLP
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 89 |

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