129 citations as recorded by crossref.

1. Study of GPS-TEC related to Wenchuan earthquake (M=7.9) of 12 May 2008 and their fractal analysis V. Chauhan et al. https://doi.org/10.1541/jae.30.63
2. Morphology of GPS and DPS TEC over an equatorial station: validation of IRI and NeQuick 2 models O. Odeyemi et al. https://doi.org/10.5194/angeo-36-1457-2018
3. Ionospheric single-station TEC short-term forecast using RBF neural network Z. Huang & H. Yuan https://doi.org/10.1002/2013RS005247
4. COMPARATIVE STUDY OF METHODS FOR CALCULATING IONOSPHERIC POINTS AND DESCRIBING THE GNSS SIGNAL PATH F. Prol et al. https://doi.org/10.1590/s1982-21702017000400044
5. Long-term impact of ionospheric scintillations on kinematic precise point positioning: seasonal and solar activity dependence over Indian low latitudes M. Yousuf et al. https://doi.org/10.1007/s10291-022-01378-1
6. Global Response of Vertical Total Electron Content to Mother’s Day G5 Geomagnetic Storm of May 2024: Insights from IGS and GIM Observations S. Pal et al. https://doi.org/10.3390/atmos16050529
7. Estimation of Ionospheric Critical Plasma Frequencies From GNSS‐TEC Measurements Using Artificial Neural Networks V. Otugo et al. https://doi.org/10.1029/2019SW002257
8. Ionospheric TEC prediction using hybrid method based on ensemble empirical mode decomposition (EEMD) and long short-term memory (LSTM) deep learning model over India S. Nath et al. https://doi.org/10.1016/j.asr.2022.10.067
9. On the variations in equatorial and low-latitude GPS-TEC and assessment of NeQuick-2, IRI-2016 and IRI-2020 models in the African longitude during solar cycle 24–25 A. Ogwala et al. https://doi.org/10.1016/j.asr.2024.05.031
10. Characterisation of GPS-TEC in the African equatorial and low latitude region and the regional evaluation of the IRI model S. Adebiyi et al. https://doi.org/10.1016/j.jastp.2016.03.003
11. Modeling of Ionospheric Time Delays Based on a Multishell Spherical Harmonics Function Approach D. Ratnam et al. https://doi.org/10.1109/JSTARS.2017.2743695
12. Pre-Seismic Irregularities during the 2020 Samos (Greece) Earthquake (M = 6.9) as Investigated from Multi-Parameter Approach by Ground and Space-Based Techniques S. Sasmal et al. https://doi.org/10.3390/atmos12081059
13. A novel ionospheric TEC mapping function with azimuth parameters and its application to the Chinese region X. Huo et al. https://doi.org/10.1007/s00190-023-01819-w
14. Vertical coupling of atmospheres: dependence on strength of sudden stratospheric warming and solar activity F. Laskar et al. https://doi.org/10.1186/1880-5981-66-94
15. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. https://doi.org/10.1029/2018JA025455
16. On the significant impact of the moderate geomagnetic disturbance of March 2008 on the equatorial ionization anomaly region over Indian longitudes N. Mridula et al. https://doi.org/10.1029/2011JA016615
17. Atmospheric Impact of Typhoon Hagibis: A Multi-Layer Investigation of Stratospheric and Ionospheric Responses K. Nanda et al. https://doi.org/10.3390/atmos17020167
18. Seasonal and solar activity dependence of TEC over Bharati station, Antarctica G. Seemala et al. https://doi.org/10.1016/j.polar.2023.101001
19. Assessment of Variability of the TEC in the Equatorial Anomaly Region with a Focus over Africa Using Rz and F10.7 as Input Drivers Y. Tariku https://doi.org/10.3847/1538-3881/abaf02
20. Anomalous Variation in GPS TEC, Land and Ocean Parameters Prior to 3 Earthquakes K. Yadav et al. https://doi.org/10.1515/acgeo-2015-0057
21. Performance evaluation of ionospheric models over equatorial Indian region N. Mridula et al. https://doi.org/10.1016/j.asr.2023.12.040
22. Anomalies observed in TEC and foF<SUB>2</SUB> data related to large magnitude earthquakes occurred in the year 2007 V. Chauhan & O. Singh https://doi.org/10.1541/jae.31.51
23. Study of equatorial plasma bubbles using all sky imager and scintillation technique from Kolhapur station: a case study A. Sharma et al. https://doi.org/10.1007/s10509-018-3303-4
24. Impact of Ionospheric Electron Density on Second-Order Ionospheric Error at L5 and S1 Frequencies Using Dual-Frequency NavIC System . Raj Gusain et al. https://doi.org/10.1134/S0016793224601017
25. On the spatial scales of ionospheric perturbations caused by moderate earthquakes that occurred in Indian subcontinents K. Chaudhary et al. https://doi.org/10.1007/s12648-020-01992-0
26. Machine learning based storm time modeling of ionospheric vertical total electron content over Ethiopia A. Nigusie et al. https://doi.org/10.1038/s41598-024-69738-0
27. Study of ionospheric precursors using GPS and GIM-TEC data related to earthquakes occurred on 16 April and 24 September, 2013 in Pakistan region D. Pundhir et al. https://doi.org/10.1016/j.asr.2017.07.010
28. Detecting ionospheric disturbances using GPS without aliasing caused by non-uniform spatial sampling: Algorithm, validation and illustration K. Shimna & M. Vijayan https://doi.org/10.1016/j.jastp.2020.105400
29. Potential of IRNSS/NavIC L5 signals for ionospheric studies A. Sharma et al. https://doi.org/10.1016/j.asr.2019.01.029
30. Influence of ionospheric diurnal variation on the estimated GPS differential code bias L. Li et al. https://doi.org/10.11728/cjss2015.02.143
31. Performance evaluation of IRI, IRI Plas and SAMI2 during the consecutive prolonged solar minimum of cycles 23 and 24 around 100°E A. Hazarika et al. https://doi.org/10.1016/j.asr.2023.04.048
32. Total electron content at equatorial and low-, middle- and high-latitudes in African longitude sector and its comparison with IRI-2016 and IRI-PLAS 2017 models A. Ogwala et al. https://doi.org/10.1016/j.asr.2020.07.013
33. Seasonal characteristics of COSMIC measurements over Indian sub-continent during different phases of solar activity M. Aggarwal & D. Sharma https://doi.org/10.1016/j.asr.2017.02.018
34. Ground‐Based GNSS and C/NOFS Observations of Ionospheric Irregularities Over Africa: A Case Study of the 2013 St. Patrick’s Day Geomagnetic Storm P. Amaechi et al. https://doi.org/10.1029/2020SW002631
35. An investigation of ionospheric F region response in the Brazilian sector to the super geomagnetic storm of May 2005 A. de Abreu et al. https://doi.org/10.1016/j.asr.2011.05.036
36. The influence of ionospheric thin shell height on TEC retrieval from GPS observation X. Wang et al. https://doi.org/10.1088/1674-4527/16/7/116
37. Comparison of GPS based TEC measurements with the IRI-2012 model for the period of low to moderate solar activity (2009–2012) at the crest of equatorial anomaly in Indian region S. Karia et al. https://doi.org/10.1016/j.asr.2014.10.026
38. Ionospheric TEC response to severe geomagnetic storm and annular solar eclipse through GNSS based TEC observations and assessment of IRI-2016 model and global ionosphere maps over Sri Lankan equatorial and low latitude region R. Jenan et al. https://doi.org/10.1007/s10509-022-04051-8
39. A study on chaotic behaviour of equatorial/low latitude ionosphere over Indian subcontinent, using GPS-TEC time series K. Unnikrishnan & S. Ravindran https://doi.org/10.1016/j.jastp.2010.07.003
40. Storm time IRI-Plas model forecast for an African equatorial station S. Adebiyi et al. https://doi.org/10.1016/j.heliyon.2019.e01844
41. Geomagnetic storm main phase effect on the equatorial ionosphere over Ile–Ife as measured from GPS observations A. Olabode & E. Ariyibi https://doi.org/10.1016/j.sciaf.2020.e00472
42. Anomalous variation in total electron content (TEC) associated with earthquakes in India during September 2006–November 2007 O. Singh et al. https://doi.org/10.1016/j.pce.2008.07.012
43. Geomagnetic Activity Control of Irregularities Occurrences Over the Crests of the African EIA P. Amaechi et al. https://doi.org/10.1029/2020EA001183
44. Geometric deep learning for ionospheric TEC modeling using a temporal graph convolutional network M. Kaselimi et al. https://doi.org/10.1007/s00521-025-11017-8
45. Removal of solar radiation effect based on nonlinear data processing technique for Seismo-Ionospheric Anomaly before few earthquakes K. Yadav et al. https://doi.org/10.1080/19475705.2015.1021864
46. Effects of the Super Intense Geomagnetic Storm on 10-11 May, 2024 on Total Electron Content at Bhopal A. Jain et al. https://doi.org/10.1016/j.asr.2024.09.029
47. Analysis of ionosphere variability over low-latitude GNSS stations during 24th solar maximum period D. Venkata Ratnam et al. https://doi.org/10.1016/j.asr.2016.08.041
48. Change in refractivity of the atmosphere and large variation in TEC associated with some earthquakes, observed from GPS receiver S. Karia & K. Pathak https://doi.org/10.1016/j.asr.2010.09.019
49. Inter-hourly variability of Total Electron Content during the quiet condition over Nigeria, within the Equatorial Ionization Anomaly region T. Ayorinde et al. https://doi.org/10.1016/j.jastp.2016.04.005
50. Kriging‐based ionospheric TEC, ROTI and amplitude scintillation index (S4) maps for India P. Babu Sree Harsha et al. https://doi.org/10.1049/iet-rsn.2020.0202
51. Variability of the African equatorial ionization anomaly (EIA) crests during the year 2013 P. Amaechi et al. https://doi.org/10.1139/cjp-2017-0985
52. Statistical Study of Global Lightning Activity and Thunderstorm‐Induced Gravity Waves in the Ionosphere Using WWLLN and GNSS‐TEC S. Chowdhury et al. https://doi.org/10.1029/2022JA030516
53. Performance analysis of Navigation with Indian Constellation satellites R. Mukesh et al. https://doi.org/10.1016/j.jksues.2019.06.002
54. A Critical Investigation on the Reliability of GPS-Derived TEC Data at Agra for Earthquake Predictions by Using the Support Vector Machine (SVM) Algorithm . Swati et al. https://doi.org/10.1134/S0016793224700324
55. Determination of the optimized single-layer ionospheric height for electron content measurements over China M. Li et al. https://doi.org/10.1007/s00190-017-1054-6
56. Precursor analysis of ionospheric GPS-TEC variations before the 2010M7.2 Baja California earthquake M. Ulukavak & M. Yalcinkaya https://doi.org/10.1080/19475705.2016.1208684
57. New results of ionospheric total electron content measurements from a low-cost global navigation satellite system receiver and comparisons with other data sources D. Okoh et al. https://doi.org/10.1016/j.asr.2021.07.018
58. A study of the ionospheric response during intense geomagnetic storms over the Indian low-latitude region during the period 2017–2023 P. Chougule et al. https://doi.org/10.1016/j.asr.2025.09.088
59. Storm‐Time Modeling of the African Regional Ionospheric Total Electron Content Using Artificial Neural Networks D. Okoh et al. https://doi.org/10.1029/2020SW002525
60. Ultra-low-frequency (ULF) and total electron content (TEC) anomalies observed at Agra and their association with regional earthquakes V. Chauhan et al. https://doi.org/10.1016/j.jog.2009.06.002
61. Assessment of IRI and IRI‐Plas models over the African equatorial and low‐latitude region S. Adebiyi et al. https://doi.org/10.1002/2016JA022697
62. A Possible Explanation of Interhemispheric Asymmetry of Equatorial Plasma Bubbles in Airglow Images D. Hickey et al. https://doi.org/10.1029/2019JA027592
63. Manyetik Fırtına Kaynaklı İyonosferik Değişimlerin GNSS Ölçüleri Kullanılarak İrdelenmesi S. İNYURT & E. ŞENTÜRK https://doi.org/10.17798/bitlisfen.557313
64. On the ionospheric and thermospheric response of solar flare events of 19 January 2005: An investigation using radio and optical techniques S. Sumod et al. https://doi.org/10.1002/2013JA019714
65. Mapping of S4 Over the Arabian Peninsula During Solar Minimum A. Darya et al. https://doi.org/10.1109/LGRS.2022.3202245
66. Modelling ionospheric phenomena and assessing the performance of IRI-Plas2017 during different phases of solar cycle 24 Y. Kayode et al. https://doi.org/10.15407/kfnt2025.02.047
67. Reconstruction of Storm‐Time Total Electron Content Using Ionospheric Tomography and Artificial Neural Networks: A Comparative Study Over the African Region J. Uwamahoro et al. https://doi.org/10.1029/2017RS006499
68. GPS TEC near the crest of the EIA at 95°E during the ascending half of solar cycle 24 and comparison with IRI simulations P. Bhuyan & R. Hazarika https://doi.org/10.1016/j.asr.2013.06.029
69. Modelling Ionospheric Phenomena and Assessing the Performance of IRIPlas2017 during Different Phases of Solar Cycle 24 Y. Kayode et al. https://doi.org/10.3103/S0884591325020035
70. A statistical comparison of IRI TEC prediction with GPS TEC measurement over Varanasi, India V. Rathore et al. https://doi.org/10.1016/j.jastp.2015.01.006
71. Influences of the day‐night differences of ionospheric variability on the estimation of GPS differential code bias L. Li et al. https://doi.org/10.1002/2014RS005565
72. Short term variations of total electron content (TEC) fitting to a regional GPS network over the Kingdom of Saudi Arabia (KSA) A. Alothman et al. https://doi.org/10.1016/j.asr.2011.04.017
73. Comparison between IRI-2012 and GPS-TEC observations over the western Black Sea S. Inyurt et al. https://doi.org/10.5194/angeo-35-817-2017
74. Characterization of the effective height of the ionosphere using GPS data over East Africa, a low latitude region P. Opio et al. https://doi.org/10.1016/j.asr.2023.02.035
75. A Novel Approach to Study Regional Ionospheric Variations Using a Real-Time TEC Model S. C. Chakravarty https://doi.org/10.4236/pos.2014.51001
76. Comparison of Performance of the IRI 2016, IRI‐Plas 2017, and NeQuick 2 Models During Different Solar Activity (2013–2018) Years Over South American Sector Y. Tariku https://doi.org/10.1029/2019RS007047
77. A machine learning approach for total electron content (TEC) prediction over the northern anomaly crest region in Egypt W. Rukundo et al. https://doi.org/10.1016/j.asr.2022.10.052
78. Temporal evolution of the EIA along 95°E as obtained from GNSS TEC measurements and SAMI3 model G. Kakoti et al. https://doi.org/10.1016/j.asr.2018.03.008
79. Quiet Time Ionopheric Irregularities Over the African Equatorial Ionization Anomaly Region P. Amaechi et al. https://doi.org/10.1029/2020RS007077
80. Investigation of the Ionospheric Effects of the Solar Eclipse of April 8, 2024 Using Multi-Instrument Measurements A. Sanyal et al. https://doi.org/10.3390/atmos16020161
81. Pattern of the variation of the TEC extracted from the GPS, IRI 2016, IRI-Plas 2017 and NeQuick 2 over polar region, Antarctica Y. Tariku https://doi.org/10.1016/j.lssr.2020.02.004
82. Investigation of ionospheric irregularities during the severe geomagnetic storm of 10–11 may 2024 E. Uluma et al. https://doi.org/10.1007/s12648-025-03734-6
83. GPS based TEC measurements for a period August 2008– December 2009 near the northern crest of Indian equatorial ionospheric anomaly region S. KARIA & K. PATHAK https://doi.org/10.1007/s12040-011-0114-1
84. Effects of local time on the variations of the total electron contents at an American and Asian longitudes and their comparison with IRI-2016, IRI-Plas2017 and NeQuick-2 models during solar cycle 24 Y. Kayode et al. https://doi.org/10.1016/j.jastp.2024.106271
85. Influence of spatial gradients on ionospheric mapping using thin layer models H. Jiang et al. https://doi.org/10.1007/s10291-017-0671-0
86. Seasonal and solar cycle effects on TEC at 95°E in the ascending half (2009–2014) of the subdued solar cycle 24: Consistent underestimation by IRI 2012 G. Kakoti et al. https://doi.org/10.1016/j.asr.2016.09.002
87. Imaging ionosphere’s wave like structure using interferometry data B. Brawar et al. https://doi.org/10.1016/j.asr.2025.07.059
88. Mapping of the Ionospheric Total Electron Content over the East African Low–Latitude Region G. Cele et al. https://doi.org/10.1016/j.asr.2023.01.006
89. The Ionospheric view of the 2011 Tohoku-Oki earthquake seismic source: the first 60 seconds of the rupture M. Bagiya et al. https://doi.org/10.1038/s41598-020-61749-x
90. Two-Shell Ionospheric Model for Indian Region: A Novel Approach A. Shukla et al. https://doi.org/10.1109/TGRS.2009.2017520
91. Machine learning approach for detection of plasma depletions from TEC C. Kapil & G. Seemala https://doi.org/10.1016/j.asr.2023.04.042
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93. The First Evidence for the Detection of CIDs Masked by Equatorial Plasma Bubbles From GPS‐TEC Data R. Rajesh & J. Catherine https://doi.org/10.1029/2021JA029798
94. Observation of medium‐scale traveling ionospheric disturbances over Peninsular Malaysia based on IPP trajectories A. Husin et al. https://doi.org/10.1029/2010RS004408
95. Study of TEC changes during geomagnetic storms occurred near the crest of the equatorial ionospheric ionization anomaly in the Indian sector R. Trivedi et al. https://doi.org/10.1016/j.asr.2011.08.008
96. On the optimal height of ionospheric shell for single-site TEC estimation J. Zhao & C. Zhou https://doi.org/10.1007/s10291-018-0715-0
97. Conjugate hemisphere ionospheric response to the St. Patrick's Day storms of 2013 and 2015 in the 100°E longitude sector B. Kalita et al. https://doi.org/10.1002/2016JA023119
98. Performance Comparison of NavIC and GPS for a High-Intensity Long-Duration Continuous AE Activity (HILDCAA) Event in 2017 A. Nema et al. https://doi.org/10.3390/atmos17010116
99. The variation of the estimated GPS instrumental bias and its possible connection with ionospheric variability D. Zhang et al. https://doi.org/10.1007/s11431-013-5419-7
100. Detection of Effects of Shallow Major Earthquakes (M ≥ 5.0, depth ≤ 30 km) Occurred in India, Nepal, and China on Ionosphere Using Statistical Approaches R. Singh et al. https://doi.org/10.1134/S0016793224600887
101. On the GPS TEC variability for full solar cycle and its comparison with IRI-2016 model C. Jethva et al. https://doi.org/10.1007/s10509-022-04112-y
102. Identification of Seismogenic Anomalies Induced by 11 April, 2012 Indonesian Earthquake (M = 8.5) at Indian Latitudes Using GPS-TEC and ULF/VLF Measurements . Devbrat Pundhir et al. https://doi.org/10.1134/S0016793221030129
103. Latitudinal and longitudinal variability of ionospheric TEC responses to the severe geomagnetic storm of May 10-11, 2024 N. Dubey et al. https://doi.org/10.1016/j.jastp.2026.106767
104. Performance Evaluation of Adjusted Spherical Harmonics Ionospheric Model Over Indian Region K. Krishna et al. https://doi.org/10.1109/ACCESS.2020.3024920
105. Ionospheric Spatial Gradient Detector Based on GLRT Using GNSS Observations S. Raghunath & D. Ratnam https://doi.org/10.1109/LGRS.2016.2551728
106. Modeling of Ionospheric Responses to Atmospheric Acoustic and Gravity Waves Driven by the 2015 Nepal 7.8 Gorkha Earthquake P. Inchin et al. https://doi.org/10.1029/2019JA027200
107. Equinoctial asymmetry in ionosphere over Indian region during 2006–2013 using COSMIC measurements M. Aggarwal et al. https://doi.org/10.1016/j.asr.2017.05.020
108. Dichotomy in mode propagation of coseismic ionospheric disturbance: Observations from 11 April 2012 Indian Ocean earthquake J. Catherine et al. https://doi.org/10.1002/2014JA020621
109. The Short-Term Prediction of Low-Latitude Ionospheric Irregularities Leveraging a Hybrid Ensemble Model H. Liu et al. https://doi.org/10.1109/TGRS.2023.3346449
110. Climatology of the ionospheric slab thickness along the longitude of 120° E in China and its adjacent region during the solar minimum years of 2007–2009 Z. Huang & H. Yuan https://doi.org/10.5194/angeo-33-1311-2015
111. A Method for Measuring Gravitational Potential of Satellite’s Orbit Using Frequency Signal Transfer Technique between Satellites Z. Shen et al. https://doi.org/10.3390/rs15143514
112. Effect of Some Major Shallow Earthquakes (M > 6.0, Depth < 30 km) that Occurred in and Around India on the GPS-Based Total Electron Content (TEC) of the Ionosphere . Manish Awasthi et al. https://doi.org/10.1134/S0016793223600819
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116. Analysis and improvement of ionospheric thin shell model used in SBAS for China region Z. Huang & H. Yuan https://doi.org/10.1016/j.asr.2012.12.018
117. L-band scintillation and TEC variations on St. Patrick’s Day storm of 17 March 2015 over Indian longitudes using GPS and GLONASS observations V. Srinivasu et al. https://doi.org/10.1007/s12040-019-1097-6
118. Satellite‐based augmentation systems: A novel and cost‐effective tool for ionospheric and space weather studies S. Sunda et al. https://doi.org/10.1002/2014SW001103
119. Ionospheric responses over the Antarctic region to intense space weather events: Plasma convection vs. auroral precipitation S. Chakraborty & G. Seemala https://doi.org/10.1016/j.asr.2025.10.107
120. Performance evaluation of ionospheric time delay forecasting models using GPS observations at a low-latitude station G. Sivavaraprasad & D. Venkata Ratnam https://doi.org/10.1016/j.asr.2017.01.031
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122. Detecting aliasing and artifact free co-seismic and tsunamigenic ionospheric perturbations using GPS M. Sithartha Muthu Vijayan & K. Shimna https://doi.org/10.1016/j.asr.2021.10.040
123. Ionospheric Total Electron Content and Disturbance Observations From Space-Borne Coherent GNSS-R Measurements Y. Wang & Y. Morton https://doi.org/10.1109/TGRS.2021.3093328
124. Multi-instrument investigation of the longitudinal variability of ionospheric irregularities during the 23–24 April 2023 geomagnetic storm I. Katual et al. https://doi.org/10.3389/fspas.2026.1797555
125. A morphological study of GPS-TEC data at Agra and their comparison with the IRI model V. Chauhan & O. Singh https://doi.org/10.1016/j.asr.2010.03.018
126. Application of SST to forecast ionospheric delays using GPS observations S. Gampala & V. Devanaboyina https://doi.org/10.1049/iet-rsn.2016.0311
127. Performance of NavIC for studying the ionosphere at an EIA region in India D. Ayyagari et al. https://doi.org/10.1016/j.asr.2019.12.019
128. Occurrence and zonal drifts of small-scale ionospheric irregularities over an equatorial station during solar maximum – Magnetic quiet and disturbed conditions M. Muella et al. https://doi.org/10.1016/j.asr.2009.03.017
129. Evaluation of Dynamic Attributes and Variability of Ionospheric Slant Total Electron Content Using NavIC Satellite System . Raj Gusain et al. https://doi.org/10.1134/S0016793223600625