Knowledge Graph Analytics
Knowledge Graph Analytics is a scholarly research contribution that advances the theory, methodology, or application of analytical techniques specifically designed for extracting, modeling, or inferring structured knowledge from graph-based representations of entities and their interrelationships.
137
Publications
6.3K
Citations
535
Authors
242
Institutions
Publications per year
2017–2026
102
Parents
137
Microsoft Academic Graph: When experts are not enough
Kuansan Wang, Z. Shen, Chiyuan Huang et al. · Quantitative Science Studies · 2020 · 505 citations · Full text
Computational Fact Checking from Knowledge Networks
Giovanni Luca Ciampaglia, Prashant Shiralkar, Luís M. Rocha et al. · PLoS ONE · 2015 · 498 citations · Full text
Industry-scale Knowledge Graphs: Lessons and Challenges
Natasha Noy, Yuqing Gao, Anshu Jain et al. · Queue · 2019 · 258 citations · Full text
Management, Information Technology, Knowledge Management +13
Extracting Large-Scale Knowledge Bases from the Web
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan et al. · 1999 · 237 citations
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242

Chinese Academy of Sciences
Beijing, China
8 h-index
25 publications
2.7K citations

Leibniz University Hannover
Hanover, Germany
4 h-index
7 publications
560 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
8 publications
715 citations
University of Bonn
Bonn, Germany
4 h-index
13 publications
426 citations

Technische Informationsbibliothek (TIB)
Hanover, Germany
4 h-index
16 publications
1.6K citations
L3S Research Center
Hanover, Germany
4 h-index
7 publications
560 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
12 publications
503 citations
University of Maryland, College Park
College Park, United States
4 h-index
8 publications
226 citations
1–8 of 242
3 publications · 71 citations
3
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Repository · 3 publications · 59 citations
3
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2 publications · 112 citations
2
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2 publications · 512 citations
2
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PVLDB · 2 publications · 38 citations
2
h-index
1–5