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D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research

Authors: Wahle, Jan Philip; Ruas, Terry; Mohammad, Saif M.; Gipp, Bela;

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research

Abstract

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

Country
Canada
Keywords

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

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
113
89
Green