The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Advances in Large-Scale Metrology – Review and future trends
Open accessAbstract
The field of Large-Scale Metrology has been studied extensively for many decades and represents the combination and competition of topics as diverse as geodesy and laboratory calibration. A primary reason that Large-Scale Metrology continues to represent the research frontier is that technological advances introduced and perfected at a conventional scale face additional challenges which increase non-linearly with size. This necessitates new ways of considering the entire measuring process, resulting in the application of concepts such as virtual measuring processes and cyber-physical systems. This paper reports on the continuing evolution of Large-Scale Metrology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476
Zienkiewicz, O. C. (1989) · Cited by 14,802
Introduction to Statistical Quality Control
Sauter, R. M., & Montgomery, D. C. (1992) · Technometrics · doi:10.2307/1269251 · Cited by 7,842
GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT
Standard, S. (2006) · Cited by 6,460
Bundle Adjustment — A Modern Synthesis
Triggs, B., McLauchlan, P. F., Hartley, R. I., & Fitzgibbon, A. W. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44480-7_21 · Cited by 3,988
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,525
The Finite Element Method: its Basis and Fundamentals
(2013) · Elsevier eBooks · doi:10.1016/c2009-0-24909-9 · Cited by 3,469
Building Information Modeling (BIM) for existing buildings — Literature review and future needs
Volk, R., Stengel, J., & Schultmann, F. (2014) · Automation in Construction · doi:10.1016/j.autcon.2013.10.023 · Cited by 2,199
Succar, B. (2009) · Automation in Construction · doi:10.1016/j.autcon.2008.10.003 · Cited by 1,741
Cyber-physical systems in manufacturing
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.06.005 · Cited by 1,697
Metadata
- Authors
- Schmitt, R. H., Peterek, M., Morse, E., Knapp, W., Galetto, M., Härtig, F., Goch, G., Hughes, B., Forbes, A., & Estler, W. T.
- Venue
- CIRP Annals
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 65
- Issue
- 2
- Pages
- 643-665
- ISSN
- 0007-8506 (ISSN-L)
- OpenAlex
- W2465146196
- Cited by
- 264
- References
- 56
- FWCI
- 18.30
- Type
- journal article
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances in Large-Scale Metrology – Review and future trends. https://app.cochat.ai/papers/10.1016/j.cirp.2016.05.002
- The paper
- Schmitt, R. H., Peterek, M., Morse, E., Knapp, W., Galetto, M., Härtig, F., Goch, G., Hughes, B., Forbes, A., & Estler, W. T. (2016). Advances in Large-Scale Metrology – Review and future trends. CIRP Annals. https://doi.org/10.1016/j.cirp.2016.05.002
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.
