The DOI matches its Crossref record.
Matrix-Geometric Solutions to Stochastic Models
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Citations
Cited by
To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems
Hassin, R., & Haviv, M. (2003) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4615-0359-0 · Cited by 1,045
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
Duong, T. V., Bui, H. H., Phung, D. Q., & Venkatesh, S. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.61 · Cited by 535
Regenerative Analysis and Steady State Distributions for Markov Chains
Grassmann, W. K., Taksar, M. I., & Heyman, D. P. (1985) · Operations Research · doi:10.1287/opre.33.5.1107 · Cited by 364
Efficient duration and hierarchical modeling for human activity recognition
Duong, T., Phung, D., Bui, H., & Venkatesh, S. (2009) · Artificial Intelligence · doi:10.1016/j.artint.2008.12.005 · Cited by 115
Metadata
- Authors
- Neuts, M. F.
- Venue
- Operations Research Proceedings
- Publisher
- Springer Berlin Heidelberg
- Published
- 1984
- Pages
- 425-425
- ISSN
- 0721-5924 (ISSN-L)
- OpenAlex
- W1968661925
- Cited by
- 1,660
- References
- 0
- FWCI
- 91.41
- Type
- book chapter
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Matrix-Geometric Solutions to Stochastic Models. https://app.cochat.ai/papers/10.1007/978-3-642-69546-9_91
- The paper
- Neuts, M. F. (1984). Matrix-Geometric Solutions to Stochastic Models. Operations Research Proceedings. https://doi.org/10.1007/978-3-642-69546-9_91
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.
