Julián Chaubell

2.0k total citations
29 papers, 712 citations indexed

About

Julián Chaubell is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Julián Chaubell has authored 29 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 21 papers in Environmental Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Julián Chaubell's work include Soil Moisture and Remote Sensing (21 papers), Precipitation Measurement and Analysis (18 papers) and Cryospheric studies and observations (6 papers). Julián Chaubell is often cited by papers focused on Soil Moisture and Remote Sensing (21 papers), Precipitation Measurement and Analysis (18 papers) and Cryospheric studies and observations (6 papers). Julián Chaubell collaborates with scholars based in United States, France and Germany. Julián Chaubell's co-authors include Simon Yueh, Akiko Hayashi, Andreas Colliander, Dara Entekhabi, Oscar P. Bruno, Alexander G. Fore, G. A. Neumann, A. P. Freedman, Wenqing Tang and Gary Lagerloef and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Optics Letters.

In The Last Decade

Julián Chaubell

28 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julián Chaubell United States 11 528 439 172 125 79 29 712
S. Dinardo United States 12 537 1.0× 547 1.2× 163 0.9× 202 1.6× 78 1.0× 26 787
Alireza Tabatabaeenejad United States 13 475 0.9× 311 0.7× 39 0.2× 147 1.2× 68 0.9× 48 708
A. Monerris Spain 17 1.0k 1.9× 716 1.6× 129 0.8× 388 3.1× 62 0.8× 53 1.1k
Rashmi Shah United States 15 851 1.6× 534 1.2× 214 1.2× 452 3.6× 143 1.8× 68 1.0k
Michael Spencer United States 13 324 0.6× 410 0.9× 331 1.9× 172 1.4× 48 0.6× 40 706
Kimmo Rautiainen Finland 22 1.2k 2.2× 1.2k 2.7× 84 0.5× 227 1.8× 87 1.1× 72 1.4k
P.W. Gaiser United States 16 546 1.0× 864 2.0× 596 3.5× 194 1.6× 200 2.5× 48 1.2k
Mohammad M. Al-Khaldi United States 11 458 0.9× 311 0.7× 121 0.7× 246 2.0× 53 0.7× 35 533
Verónica González‐Gambau Spain 16 598 1.1× 562 1.3× 238 1.4× 212 1.7× 91 1.2× 78 841
Mariko Burgin United States 13 728 1.4× 582 1.3× 30 0.2× 220 1.8× 91 1.2× 47 867

Countries citing papers authored by Julián Chaubell

Since Specialization
Citations

This map shows the geographic impact of Julián Chaubell'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 Julián Chaubell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julián Chaubell more than expected).

Fields of papers citing papers by Julián Chaubell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julián Chaubell. 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 Julián Chaubell. The network helps show where Julián Chaubell may publish in the future.

Co-authorship network of co-authors of Julián Chaubell

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Chaubell. A scholar is included among the top collaborators of Julián Chaubell 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 Julián Chaubell. Julián Chaubell 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
1.
Liu, Yuqing, Xiaojun Li, Philippe Ciais, et al.. (2025). Spatio-temporal dynamics of L-band zeroth-order vegetation scattering albedo from SMAP observations in tropical forests. Remote Sensing of Environment. 328. 114890–114890. 1 indexed citations
2.
Yueh, Simon, Rashmi Shah, Julián Chaubell, et al.. (2022). A P-Band Signals of Opportunity Synthetic Aperture Radar Concept for Remote Sensing of Terrestrial Snow. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 17. 4244–4247. 2 indexed citations
3.
Chaparro, David, Andrew F. Feldman, Julián Chaubell, Simon Yueh, & Dara Entekhabi. (2022). Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 10 indexed citations
4.
Gao, Lun, Hankui K. Zhang, Xiaojun Li, et al.. (2022). A deep neural network based SMAP soil moisture product. Remote Sensing of Environment. 277. 113059–113059. 35 indexed citations
5.
Gao, Lun, Ardeshir Ebtehaj, Julián Chaubell, et al.. (2021). Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth. Remote Sensing of Environment. 264. 112627–112627. 44 indexed citations
6.
7.
Das, Narendra N., Dara Entekhabi, Scott Dunbar, et al.. (2019). The SMAP and Copernicus Sentinel 1A/B Microwave Active-Passive High Resolution Surface Soil Moisture Product and Its Applications. elib (German Aerospace Center). 1 indexed citations
8.
Chaubell, Julián, Simon Yueh, S. Chan, et al.. (2019). Smap Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth. 5312–5315. 5 indexed citations
9.
Das, Narendra N., Dara Entekhabi, R. S. Dunbar, et al.. (2019). The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product. Remote Sensing of Environment. 233. 111380–111380. 212 indexed citations
10.
Ye, Nan, Jeffrey P. Walker, Rajat Bindlish, et al.. (2018). Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations. Remote Sensing of Environment. 221. 363–372. 9 indexed citations
11.
Piepmeier, Jeffrey R., Jinzheng Peng, Sidharth Misra, et al.. (2018). Smap Microwave Radiometer: Instrument Status and Calibration for the First Three Years of Operation. 3751–3753. 1 indexed citations
12.
Fore, Alexander G., G. A. Neumann, A. P. Freedman, et al.. (2015). Aquarius Scatterometer Calibration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(12). 5424–5432. 5 indexed citations
13.
Yueh, Simon, Wenqing Tang, Alexander G. Fore, et al.. (2013). L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval. IEEE Transactions on Geoscience and Remote Sensing. 51(9). 4619–4632. 129 indexed citations
14.
Yueh, Simon & Julián Chaubell. (2011). Sea Surface Salinity and Wind Retrieval Using Combined Passive and Active L-Band Microwave Observations. IEEE Transactions on Geoscience and Remote Sensing. 50(4). 1022–1032. 60 indexed citations
15.
Esteban-Fernández, Daniel, et al.. (2010). Design considerations for a dual-frequency radar for sea spray measurement in hurricanes. 57. 2896–2899. 3 indexed citations
16.
17.
Lowe, S., Julián Chaubell, & G. A. Hajj. (2007). A GNSS-reflections simulator and its application to widelane observations. 37. 5101–5104. 2 indexed citations
18.
Bruno, Oscar P. & Julián Chaubell. (2005). One-dimensional inverse scattering problem for optical coherence tomography. Inverse Problems. 21(2). 499–524. 16 indexed citations
19.
Bruno, Oscar P. & Julián Chaubell. (2003). Inverse scattering problem for optical coherence tomography. Optics Letters. 28(21). 2049–2049. 19 indexed citations
20.
Chaubell, Julián, et al.. (1999). Inversion of turbidity measurements of polymer latex using wavelet functions. Chemometrics and Intelligent Laboratory Systems. 47(1). 89–97. 4 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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