Ramon Padullés

419 total citations
27 papers, 241 citations indexed

About

Ramon Padullés is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Ramon Padullés has authored 27 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 18 papers in Atmospheric Science and 12 papers in Aerospace Engineering. Recurrent topics in Ramon Padullés's work include Ionosphere and magnetosphere dynamics (20 papers), Meteorological Phenomena and Simulations (13 papers) and Precipitation Measurement and Analysis (12 papers). Ramon Padullés is often cited by papers focused on Ionosphere and magnetosphere dynamics (20 papers), Meteorological Phenomena and Simulations (13 papers) and Precipitation Measurement and Analysis (12 papers). Ramon Padullés collaborates with scholars based in Spain, United States and Netherlands. Ramon Padullés's co-authors include Estel Cardellach, F. Joseph Turk, Manuel de la Torre Juárez, C. O. Ao, S. Tomás, A. Rius, Santi Oliveras, Serni Ribó, J. David Neelin and Weiqiang Li and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Journal of the Atmospheric Sciences.

In The Last Decade

Ramon Padullés

24 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ramon Padullés Spain 11 158 125 88 79 50 27 241
Juha-Pekka Luntama Germany 7 151 1.0× 183 1.5× 90 1.0× 104 1.3× 94 1.9× 10 302
Peng Guo China 9 99 0.6× 192 1.5× 82 0.9× 140 1.8× 59 1.2× 47 294
Steven D. Swadley United States 6 277 1.8× 94 0.8× 58 0.7× 29 0.4× 120 2.4× 11 318
Ming Shangguan China 10 130 0.8× 80 0.6× 82 0.9× 75 0.9× 110 2.2× 16 218
C. Suresh Raju India 10 204 1.3× 104 0.8× 88 1.0× 97 1.2× 157 3.1× 31 303
Xiangguang Meng China 9 72 0.5× 149 1.2× 139 1.6× 137 1.7× 15 0.3× 33 262
Charles H. Hersom Canada 5 80 0.5× 100 0.8× 31 0.4× 22 0.3× 47 0.9× 9 156
S. Tomás Spain 9 200 1.3× 45 0.4× 24 0.3× 41 0.5× 186 3.7× 23 280
Monti Chakraborty India 8 116 0.7× 190 1.5× 35 0.4× 75 0.9× 78 1.6× 15 307
D. J. Boucher United States 5 160 1.0× 111 0.9× 30 0.3× 22 0.3× 72 1.4× 9 271

Countries citing papers authored by Ramon Padullés

Since Specialization
Citations

This map shows the geographic impact of Ramon Padullés's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramon Padullés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramon Padullés more than expected).

Fields of papers citing papers by Ramon Padullés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramon Padullés. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramon Padullés. The network helps show where Ramon Padullés may publish in the future.

Co-authorship network of co-authors of Ramon Padullés

This figure shows the co-authorship network connecting the top 25 collaborators of Ramon Padullés. A scholar is included among the top collaborators of Ramon Padullés based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramon Padullés. Ramon Padullés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Padullés, Ramon, et al.. (2025). Polarimetric Radio Occultation Forward Scattering Sensitivity to Hydrometeor Habit. Geophysical Research Letters. 52(14).
3.
Padullés, Ramon, et al.. (2025). Initial Polarimetric Radio Occultation Results from Spire’s Nanosatellite Constellation: Independent Assessment and Potential Applications. Bulletin of the American Meteorological Society. 106(4). E735–E751. 1 indexed citations
4.
Chen, Shu-Ya, et al.. (2025). Comparisons of polarimetric radio occultation measurements with WRF model simulation for tropical cyclones. Atmospheric measurement techniques. 18(19). 5265–5280.
5.
Padullés, Ramon, et al.. (2024). Evaluating the Polarimetric Radio Occultation Technique Using NEXRAD Weather Radars. Remote Sensing. 16(7). 1118–1118. 1 indexed citations
6.
Padullés, Ramon, Estel Cardellach, Santi Oliveras, et al.. (2024). The PAZ polarimetric radio occultation research dataset for scientific applications. Earth system science data. 16(12). 5643–5663. 2 indexed citations
7.
Turk, F. Joseph, Estel Cardellach, Manuel de la Torre Juárez, et al.. (2024). Advances in the Use of Global Navigation Satellite System Polarimetric Radio Occultation Measurements for NWP and Weather Applications. Bulletin of the American Meteorological Society. 105(6). E905–E914. 5 indexed citations
8.
Padullés, Ramon, Estel Cardellach, & F. Joseph Turk. (2023). On the global relationship between polarimetric radio occultation differential phase shift and ice water content. Atmospheric chemistry and physics. 23(3). 2199–2214. 8 indexed citations
9.
Padullés, Ramon, Yi‐Hung Kuo, J. David Neelin, et al.. (2022). Global Tropical Precipitation Relationships to Free-Tropospheric Water Vapor Using Radio Occultations. Journal of the Atmospheric Sciences. 79(6). 1585–1600. 5 indexed citations
11.
Turk, F. Joseph, Sarah Ringerud, Daniele Casella, et al.. (2021). Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sensing. 13(12). 2264–2264. 30 indexed citations
12.
Ao, C. O., et al.. (2021). The Effects of Heavy Precipitation on Polarimetric Radio Occultation (PRO) Bending Angle Observations. Journal of Atmospheric and Oceanic Technology. 39(2). 149–161. 6 indexed citations
13.
Padullés, Ramon, Estel Cardellach, F. Joseph Turk, et al.. (2021). Sensing Horizontally Oriented Frozen Particles With Polarimetric Radio Occultations Aboard PAZ: Validation Using GMI Coincident Observations and Cloudsat a Priori Information. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 13 indexed citations
14.
Padullés, Ramon, C. O. Ao, F. Joseph Turk, et al.. (2020). Calibration and validation of the Polarimetric Radio Occultation and Heavy Precipitation experiment aboard the PAZ satellite. Atmospheric measurement techniques. 13(3). 1299–1313. 12 indexed citations
15.
Turk, F. Joseph, Ramon Padullés, C. O. Ao, et al.. (2019). Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements. Remote Sensing. 11(20). 2399–2399. 12 indexed citations
16.
Padullés, Ramon, et al.. (2018). Assessment of GNSS radio occultation refractivity under heavyprecipitation. Biogeosciences (European Geosciences Union). 2 indexed citations
17.
Padullés, Ramon, et al.. (2018). Assessment of global navigation satellite system (GNSS) radio occultation refractivity under heavy precipitation. Atmospheric chemistry and physics. 18(16). 11697–11708. 9 indexed citations
18.
Cardellach, Estel, Ramon Padullés, S. Tomás, et al.. (2017). Probability of intense precipitation from polarimetric GNSS radio occultation observations. Quarterly Journal of the Royal Meteorological Society. 144(S1). 206–220. 18 indexed citations
19.
Padullés, Ramon, Estel Cardellach, Manuel de la Torre Juárez, et al.. (2016). Atmospheric polarimetric effects on GNSS radio occultations: the ROHP-PAZ field campaign. Atmospheric chemistry and physics. 16(2). 635–649. 11 indexed citations
20.
Padullés, Ramon, Estel Cardellach, & A. Rius. (2016). Untangling rain structure from polarimetric GNSS Radio Occultation observables: a 2D tomographic approach. European Journal of Remote Sensing. 49(1). 571–585. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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