H. K. Beaudoing

4.6k total citations · 1 hit paper
26 papers, 2.3k citations indexed

About

H. K. Beaudoing is a scholar working on Oceanography, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, H. K. Beaudoing has authored 26 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oceanography, 14 papers in Atmospheric Science and 8 papers in Environmental Engineering. Recurrent topics in H. K. Beaudoing's work include Geophysics and Gravity Measurements (16 papers), Meteorological Phenomena and Simulations (10 papers) and Soil Moisture and Remote Sensing (8 papers). H. K. Beaudoing is often cited by papers focused on Geophysics and Gravity Measurements (16 papers), Meteorological Phenomena and Simulations (10 papers) and Soil Moisture and Remote Sensing (8 papers). H. K. Beaudoing collaborates with scholars based in United States, Taiwan and Chile. H. K. Beaudoing's co-authors include Matthew Rodell, J. S. Famiglietti, J. T. Reager, Min‐Hui Lo, D. N. Wiese, Felix W. Landerer, Mutlu Özdoğan, D. L. Toll, Bailing Li and Joseph Nigro and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

H. K. Beaudoing

26 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging trends in global freshwater availability

2018 1.4k citations Matthew Rodell, J. S. Famiglietti et al. Nature profile →

Peers

H. K. Beaudoing

GPC

OCEAN

WST

EE

AS

Brian Thomas United States

Vincent Humphrey Switzerland

Augusto Getirana United States

Eugene Yan United States

Muriel Bergé‐Nguyen France

Mohamed Ahmed United States

In‐Young Yeo Australia

K. Voss United States

Virginia L. McGuire United States

Thanh Ngo‐Duc Vietnam

Brian Thomas United States

H. K. Beaudoing

840 ×0.9

GPC

1.0k ×1.2

OCEAN

920 ×1.1

WST

620 ×1.4

EE

135 ×0.3

AS

Citations per year, relative to H. K. Beaudoing H. K. Beaudoing (= 1×) peers Brian Thomas

Countries citing papers authored by H. K. Beaudoing

Since Specialization

Citations

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

Fields of papers citing papers by H. K. Beaudoing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. K. Beaudoing. 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 H. K. Beaudoing. The network helps show where H. K. Beaudoing may publish in the future.

Co-authorship network of co-authors of H. K. Beaudoing

This figure shows the co-authorship network connecting the top 25 collaborators of H. K. Beaudoing. A scholar is included among the top collaborators of H. K. Beaudoing 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 H. K. Beaudoing. H. K. Beaudoing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Vasco, D. W., Kyra H. Kim, T. G. Farr, et al.. (2022). Using Sentinel-1 and GRACE satellite data to monitor the hydrological variations within the Tulare Basin, California. Scientific Reports. 12(1). 3867–3867. 27 indexed citations

2.

Kim, Kyra H., Zhen Liu, Matthew Rodell, et al.. (2021). An Evaluation of Remotely Sensed and In Situ Data Sufficiency for SGMA‐Scale Groundwater Studies in the Central Valley, California. JAWRA Journal of the American Water Resources Association. 57(5). 664–674. 11 indexed citations

3.

Rui, Hualan, Lena Iredell, Jennifer Wei, et al.. (2020). GLDAS-2 Land Surface Model Data and Data Services at NASA GES DISC. AGU Fall Meeting Abstracts. 2020. 5 indexed citations

4.

Scanlon, Bridget R., Ashraf Rateb, Alexander Y. Sun, et al.. (2019). Tracking Seasonal Fluctuations in Land Water Storage Using Global Models and GRACE Satellites. Geophysical Research Letters. 46(10). 5254–5264. 103 indexed citations

5.

Getirana, Augusto, Matthew Rodell, Sujay V. Kumar, et al.. (2019). GRACE Improves Seasonal Groundwater Forecast Initialization over the United States. Journal of Hydrometeorology. 21(1). 59–71. 38 indexed citations

6.

Rui, Hualan, et al.. (2018). GRACE-Assimilated Drought Indicators for the U.S. Drought Monitor. 1 indexed citations

7.

Arsenault, Kristi R., Sujay V. Kumar, Shugong Wang, et al.. (2018). The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems. Geoscientific model development. 11(9). 3605–3621. 45 indexed citations

8.

Rodell, Matthew, J. S. Famiglietti, D. N. Wiese, et al.. (2018). Emerging trends in global freshwater availability. Nature. 557(7707). 651–659. 1352 indexed citations breakdown →

9.

Toure, Ally M., Kari Luojus, Matthew Rodell, H. K. Beaudoing, & Augusto Getirana. (2018). Evaluation of Simulated Snow and Snowmelt Timing in the Community Land Model Using Satellite‐Based Products and Streamflow Observations. Journal of Advances in Modeling Earth Systems. 10(11). 2933–2951. 14 indexed citations

10.

Arsenault, Kristi R., Sujay V. Kumar, Shugong Wang, et al.. (2017). The Land surface Data Toolkit (LDT). Figshare. 1 indexed citations

11.

Rui, Hualan, et al.. (2015). 65 Years of Reprocessed GLDAS Version 2.0 Data and Their Exploration Using the NASA GES DISC Giovanni. 2015 AGU Fall Meeting. 2015. 3 indexed citations

12.

Reager, J. T., Eric A. Sproles, Matthew Rodell, et al.. (2015). Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential. Remote Sensing. 7(11). 14663–14679. 72 indexed citations

13.

Toure, Ally M., Matthew Rodell, Zong‐Liang Yang, et al.. (2015). Evaluation of the Snow Simulations from the Community Land Model, Version 4 (CLM4). Journal of Hydrometeorology. 17(1). 153–170. 55 indexed citations

14.

Rui, Hualan, et al.. (2012). New and Improved GLDAS Data Sets and Data Services at NASA GES DISC. 1 indexed citations

15.

Rui, Hualan, William Teng, Bruce Vollmer, et al.. (2011). BRIDGING THE GAP BETWEEN NASA HYDROLOGICAL DATA AND THE GEOSPATIAL COMMUNITY. 445–453. 2 indexed citations

16.

Rodell, Matthew, et al.. (2011). Estimating evapotranspiration using an observation based terrestrial water budget. Hydrological Processes. 25(26). 4082–4092. 114 indexed citations

17.

Rui, Hualan, et al.. (2010). New and Improved GLDAS and NLDAS Data Sets and Data Services at HDISC/NASA. 2010. 1 indexed citations

18.

Özdoğan, Mutlu, Matthew Rodell, H. K. Beaudoing, & D. L. Toll. (2009). Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data. Journal of Hydrometeorology. 11(1). 171–184. 255 indexed citations

19.

Fang, Hongliang, H. K. Beaudoing, Matthew Rodell, William Teng, & Bruce Vollmer. (2009). Global Land Data Assimilation System (GLDAS) Products, Services and Application from NASA Hydrology Data and Information Services Center (HDISC). NASA Technical Reports Server (NASA). 37 indexed citations

20.

Fang, Hongliang, et al.. (2008). Customer-oriented Data Formats and Services for Global Land Data Assimilation System (GLDAS) Products at the NASA GES DISC. NASA Technical Reports Server (NASA). 2008. 9 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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