Groenendyk, M., & Ivan, L. (2025). Data as scholarly output: addressing challenges in data citation tracking through natural language processing automation. Scientometrics: An International Journal for All Quantitative Aspects of the Science of Science, Communication in Science and Science Policy, 1-11. https://doi.org/10.1007/s11192-025-05508-7
ISO-690 (author-date, English)GROENENDYK, Michael und IVAN, Laura, 2025. Data as scholarly output: addressing challenges in data citation tracking through natural language processing automation. Scientometrics: An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy. 18 Dezember 2025. P. 1-11. DOI 10.1007/s11192-025-05508-7.
Modern Language Association 9th editionGroenendyk, M., und L. Ivan. „Data As Scholarly Output: Addressing Challenges in Data Citation Tracking through Natural Language Processing Automation“. Scientometrics: An International Journal for All Quantitative Aspects of the Science of Science, Communication in Science and Science Policy, Dezember 2025, S. 1-11, https://doi.org/10.1007/s11192-025-05508-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Groenendyk, Michael/Ivan, Laura: Data as scholarly output: addressing challenges in data citation tracking through natural language processing automation, Scientometrics: An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy 2025, 1-11.
Emerald - HarvardGroenendyk, M. und Ivan, L. (2025), „Data as scholarly output: addressing challenges in data citation tracking through natural language processing automation“, Scientometrics: An International Journal for All Quantitative Aspects of the Science of Science, Communication in Science and Science Policy, S. 1-11.