The DOI matches its Crossref record.
Game Analytics: Maximizing the Value of Player Data
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Citations
Cited by
The social metaverse: Battle for privacy
Falchuk, B., Loeb, S., & Neff, R. (2018) · IEEE Technology and Society Magazine · doi:10.1109/mts.2018.2826060 · Cited by 354
Predicting player churn in the wild
Hadiji, F., Sifa, R., Drachen, A., Thurau, C., Kersting, K., & Bauckhage, C. (2014) · 2014 IEEE Conference on Computational Intelligence and Games · doi:10.1109/cig.2014.6932876 · Cited by 171
Self-citationEvaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review
McCallum, C., Rooksby, J., & Gray, C. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9054 · Cited by 126
Automated Playtesting With Procedural Personas Through MCTS With Evolved Heuristics
Holmgard, C., Green, M. C., Liapis, A., & Togelius, J. (2019) · IEEE Transactions on Games · doi:10.1109/tg.2018.2808198 · Cited by 125
Self-citationHuman-Like Playtesting with Deep Learning
Gudmundsson, S. F., Eisen, P., Poromaa, E., Nodet, A., Purmonen, S., Kozakowski, B., Meurling, R., & Cao, L. (2018) · 2018 IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2018.8490442 · Cited by 90
Metadata
- Venue
- Springer eBooks
- Publisher
- Springer London
- Published
- 2013
- OpenAlex
- W4299998071
- Cited by
- 228
- References
- 0
- FWCI
- 19.05
- Type
- book
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Game Analytics: Maximizing the Value of Player Data. https://app.cochat.ai/papers/10.1007/978-1-4471-4769-5
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- Game Analytics: Maximizing the Value of Player Data. (2013). Springer eBooks. https://doi.org/10.1007/978-1-4471-4769-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
