Data sets for author name disambiguation: An empirical analysis and a new resource

View Publication
Abstract:
No abstract specified

SEEK ID: https://publications.h-its.org/publications/286

SEEK ID: https://publications.h-its.org/publications/286

DOI: 10.1007/s11192-017-2363-5

Research Groups: Natural Language Processing

Publication type: Journal

Journal: Scientometrics

Citation: Scientometrics, 111(3):1467-1500

Date Published: 2017

URL: https://link.springer.com/content/pdf/10.1007%2Fs11192-017-2363-5.pdf

Registered Mode: imported from a bibtex file

Authors: Mark-Christoph Müller, Florian Reitz, Nicolas Roy

Citation
Müller, M.-C., Reitz, F., & Roy, N. (2017). Data sets for author name disambiguation: an empirical analysis and a new resource. In Scientometrics (Vol. 111, Issue 3, pp. 1467–1500). Springer Science and Business Media LLC. https://doi.org/10.1007/s11192-017-2363-5
Activity

Views: 5865

Created: 7th Sep 2019 at 11:46

Last updated: 5th Mar 2024 at 21:23

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
 (v.1.14.2)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH