Kompetenznetzwerk Bibliometrie (KB)
Published November 26, 2024 | Version v1
Presentation Open

Applied Graph Techniques for Bibliometrics

Authors/Creators

  • 1. ROR icon GESIS - Leibniz-Institute for the Social Sciences

Contributors

Project leader:

  • 1. ROR icon GESIS - Leibniz-Institute for the Social Sciences

Description

This presentation details an overview of the capabilites of graph databases and techniques in the field of bibliometrics, and the utilisation and future plans for utilisation of these techniques in the Kompetenznetzwerk Bibliometrie.

Files

Files (10.2 MB)

Additional details

Funding

Federal Ministry of Education and Research
The OpenBib Project 16WIK2301B
Federal Ministry of Education and Research
Kompetenznetzwerk Bibliometrie 01PQ17001

Dates

Other
2024-11-26
Presented

References

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  • De Bonis M, Falchi F, Manghi P. 2023. Graph-based methods for Author Name Disambiguation: a survey. PeerJ Computer Science 9:e1536 https://doi.org/10.7717/peerj-cs.1536
  • Zhang Sifan, Niu Zhendong, Lu Hao, et al. Predicting Citations Based on Graph Convolution Embedding and Feature Cross:Case Study of Transportation Research[J]. Data Analysis and Knowledge Discovery, 2020, 4(9): 56-67 https://doi.org/10.11925/infotech.2096-3467.2020.0531
  • Rabindra Nath Nandi, Suman Maity, Brian Uzzi, and Sourav Medya. 2024. An Experimental Analysis on Evaluating Patent Citations. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 373–387, Miami, Florida, USA. Association for Computational Linguistics.
  • Xuemei Gu, Mario Krenn. 2024 Forecasting high-impact research topics via machine learning on evolving knowledge graphs. ArXiv Preprint. Doi: https://doi.org/10.48550/arXiv.2402.08640