Natalie Kiesler
Munich University of Applied Sciences
ORCID: 0000-0002-6843-2729Also affiliated with Georg Simon Ohm University of Applied Sciences Nuremberg
Computer ScienceSocial Sciences
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Top 100%percentile
Indexed papers
0in pilot corpus
Papers
Driven by 1 paper. Top paper: “Why We Need Open Data in Computer Science Education Research”.
Why We Need Open Data in Computer Science Education Research
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1(2023)10.1145/3587102.3588860
N/A
14 citations
Daniel Schiffner, Natalie Kiesler