The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
South American regional ionospheric maps computed by GESA: A pilot service in the framework of SIRGAS
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The STEC from LPIM is estimated based on GNSS observables and accounts for the IFBs, which are estimated by the well known technique described inCiraolo et al. (2007), Brunini et al. (2008) and Brunini andAzpilicueta (2009, 2010).”
From Accuracy assessment of Precise Point Positioning with multi-constellation GNSS data under ionospheric scintillation effects (2018) · cites this paper as Brunini et al., 2008
Citations
Cites
Lerner, R. G., & Trigg, G. L. (1991) · Cited by 1,153
Mapping and predicting the Earth's ionosphere using the Global Positioning System.
Schaer, S. (1999) · Cited by 861
Calibration errors on experimental slant total electron content (TEC) determined with GPS
Ciraolo, L., Azpilicueta, F., Brunini, C., Meza, A., & Radicella, S. M. (2007) · Journal of Geodesy · doi:10.1007/s00190-006-0093-1 · Cited by 589
Self-citationNew approaches in global ionospheric determination using ground GPS data
Pajares, M. H., Zornoza, J. M. J., & Subirana, J. S. (1999) · Journal of Atmospheric and Solar-Terrestrial Physics · doi:10.1016/s1364-6826(99)00054-1 · Cited by 395
The International GPS Service (IGS): An interdisciplinary service in support of Earth sciences
Beutler, G., Rothacher, M., Schaer, S., Springer, T. A., Kouba, J., & Neilan, R. E. (1999) · Advances in Space Research · doi:10.1016/s0273-1177(99)00160-x · Cited by 311
Studying the ionosphere with the Global Positioning System
Davies, K., & Hartmann, G. K. (1997) · Radio Science · doi:10.1029/97rs00451 · Cited by 200
Centered and eccentric geomagnetic dipoles and their poles, 1600–1985
Fraser‐Smith, A. C. (1987) · Reviews of Geophysics · doi:10.1029/rg025i001p00001 · Cited by 186
Evaluation of the TOPEX/POSEIDON dual‐frequency ionosphere correction
Imel, D. (1994) · Journal of Geophysical Research Atmospheres · doi:10.1029/94jc01869 · Cited by 165
Temporal and spatial variability of the bias between TOPEX- and GPS-derived total electron content
Brunini, C., Meza, A. M., & Bosch, W. (2005) · Journal of Geodesy · doi:10.1007/s00190-005-0448-z · Cited by 77
Self-citationGlobal ionospheric maps from GPS observations using modip latitude
Azpilicueta, F., Brunini, C. A., & Radicella, S. M. (2005) · Advances in Space Research · doi:10.1016/j.asr.2005.07.069 · Cited by 75
Self-citation
Research works printed but not linked: 4
- Feltens, J. Chapman profile approach for 3-d global TEC representation. In: Proceedings of the 1998 IGS Analysis Centres Workshop Darmstadt, pp. 285–297, 1998.
- Feltens, J., Schaer, S. IGS Products for the ionosphere. In: Proceedings of the 1998 IGS Analysis Centres Workshop, Darmstadt, pp. 285–297, 1998.
- Y. Gao, P. Heroux, J. Kouba. Estimation of GPS receiver and satellite L1/L2 signal delay biases using data from CACS. In: Proceedings of the KIS-94, Banff, pp. 109–117, 1994.
- Hernández-Pajares, M. Summary and current status of IGS Ionosphere WG activities. IGS Workshop, Darmstadt, 2006.
Cited by
Marques, H. A., Marques, H. A. S., Aquino, M., Veettil, S. V., & Monico, J. F. G. (2018) · Journal of Space Weather and Space Climate · doi:10.1051/swsc/2017043 · Cited by 61
“The STEC from LPIM is estimated based on GNSS observables and accounts for the IFBs, which are estimated by the well known technique described inCiraolo et al. (2007), Brunini et al. (2008) and Brunini and Azpilicueta (2009, 2010).”
Method
Metadata
- Authors
- Brunini, C., Meza, A., Gende, M., & Azpilicueta, F.
- Affiliations
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Corresponding author
- Brunini, C.
- Venue
- Advances in Space Research
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 42
- Issue
- 4
- Pages
- 737-744
- ISSN
- 0273-1177 (ISSN-L)
- OpenAlex
- W2037926973
- Cited by
- 34
- References
- 17
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 3 · 2021: 3 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 2
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Advances in Space Research (publishedVersion)
- Funders
- Gastroenterological Society of Australia
- National Geospatial-Intelligence Agency
- Topics
- Physical Sciences › Earth and Planetary Sciences › Space and Planetary Science › Ionosphere and magnetosphere dynamics
- Physical Sciences › Engineering › Aerospace Engineering › GNSS positioning and interference
- Physical Sciences › Earth and Planetary Sciences › Geophysics › Earthquake Detection and Analysis
- Keywords
- ionospheric maps, vertical total electron content, SIRGAS, GNSS, ionospheric correction, low-latitude ionosphere, ionospheric mapping, South America
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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.
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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: South American regional ionospheric maps computed by GESA: A pilot service in the framework of SIRGAS. https://app.cochat.ai/papers/10.1016/j.asr.2007.08.041
- The paper
- Brunini, C., Meza, A., Gende, M., & Azpilicueta, F. (2008). South American regional ionospheric maps computed by GESA: A pilot service in the framework of SIRGAS. Advances in Space Research. https://doi.org/10.1016/j.asr.2007.08.041
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.
