Susan Steele‐Dunne

5.9k total citations · 3 hit papers
84 papers, 3.4k citations indexed

About

Susan Steele‐Dunne is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Susan Steele‐Dunne has authored 84 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Environmental Engineering, 40 papers in Atmospheric Science and 21 papers in Global and Planetary Change. Recurrent topics in Susan Steele‐Dunne's work include Soil Moisture and Remote Sensing (57 papers), Precipitation Measurement and Analysis (21 papers) and Soil and Unsaturated Flow (17 papers). Susan Steele‐Dunne is often cited by papers focused on Soil Moisture and Remote Sensing (57 papers), Precipitation Measurement and Analysis (21 papers) and Soil and Unsaturated Flow (17 papers). Susan Steele‐Dunne collaborates with scholars based in Netherlands, United States and Austria. Susan Steele‐Dunne's co-authors include H. H. G. Savenije, Bettina Schaefli, Ruud van der Ent, Nick van de Giesen, Jasmeet Judge, Alexandra G. Konings, Alejandro Monsiváis-Huertero, Pang‐Wei Liu, K. H. Rao and J. S. Selker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Susan Steele‐Dunne

80 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Origin and fate of atmospheric moisture over continents

2010 662 citations H. H. G. Savenije, Susan Steele‐Dunne et al. Water Resources Research profile →
Radar Remote Sensing of Agricultural Canopies: A Review

2017 274 citations Susan Steele‐Dunne, Alejandro Monsiváis-Huertero et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Soil hydrology in the Earth system

2022 189 citations Alexandra G. Konings, Susan Steele‐Dunne et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan Steele‐Dunne Netherlands	28	1.5k	1.4k	1.2k	720	585	84	3.4k
Jian Peng China	33	1.4k 1.0×	1.6k 1.1×	1.4k 1.1×	954 1.3×	404 0.7×	157	3.9k
Hans Lievens Belgium	23	2.0k 1.3×	1.8k 1.3×	2.1k 1.7×	1.2k 1.7×	355 0.6×	68	4.0k
Luigi J. Renzullo Australia	30	1.2k 0.8×	1.4k 1.0×	980 0.8×	804 1.1×	670 1.1×	87	2.8k
John Bolten United States	29	1.2k 0.8×	1.3k 0.9×	1.2k 1.0×	720 1.0×	346 0.6×	82	2.5k
Jinyang Du China	28	1.9k 1.3×	1.5k 1.0×	2.3k 1.9×	405 0.6×	520 0.9×	111	3.8k
Alexander Loew Germany	31	2.8k 1.8×	1.5k 1.0×	2.9k 2.4×	482 0.7×	309 0.5×	89	4.2k
Vahid Naeimi Austria	22	2.4k 1.6×	804 0.6×	2.3k 1.9×	587 0.8×	303 0.5×	50	3.2k
R. J. Gurney United Kingdom	24	1.5k 1.0×	1.3k 0.9×	1.5k 1.2×	571 0.8×	319 0.5×	106	2.9k
Maria‐José Escorihuela France	28	3.4k 2.3×	787 0.5×	3.0k 2.5×	460 0.6×	494 0.8×	72	4.5k
Catherine Ottlé France	36	2.7k 1.8×	3.0k 2.1×	1.8k 1.5×	999 1.4×	885 1.5×	111	5.1k

Countries citing papers authored by Susan Steele‐Dunne

Since Specialization

Citations

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

Fields of papers citing papers by Susan Steele‐Dunne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Steele‐Dunne. 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 Susan Steele‐Dunne. The network helps show where Susan Steele‐Dunne may publish in the future.

Co-authorship network of co-authors of Susan Steele‐Dunne

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

All Works

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20 of 20 papers shown

Steele‐Dunne, Susan, Mohammad El Hajj, Martin Schrön, et al.. (2025). Accounting for biomass water equivalent variations in soil moisture retrievals from cosmic ray neutron sensor. Agricultural Water Management. 313. 109493–109493. 1 indexed citations

Hajj, Mohammad El, Susan Steele‐Dunne, Kasper Johansen, et al.. (2025). Synergistic Use of Ground-Based GNSS-R and Sentinel-2 Imagery for Soil Moisture Estimation Across an Irrigated Grassland. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–10. 1 indexed citations

Hajj, Mohammad El, et al.. (2023). Ground-Based Soil Moisture Retrieval Using the Correlation Between Dual-Polarization GNSS-R Interference Patterns. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 2 indexed citations

Kumar, Sujay V., Jana Kolassa, Rolf H. Reichle, et al.. (2022). An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space. Journal of Advances in Modeling Earth Systems. 14(11). 30 indexed citations

Pfeil, Isabella, Wolfgang Wagner, Raphael Quast, et al.. (2022). Analysis of short-term soil moisture effects on the ASCAT backscatter-incidence angle dependence. SHILAP Revista de lepidopterología. 5. 100053–100053. 2 indexed citations

Steele‐Dunne, Susan, et al.. (2022). The influence of vegetation water dynamics on the ASCAT backscatter–incidence angle relationship in the Amazon. Hydrology and earth system sciences. 26(11). 2997–3019. 10 indexed citations

Steele‐Dunne, Susan, et al.. (2022). Extrapolating continuous vegetation water content to understand sub-daily backscatter variations. Hydrology and earth system sciences. 26(5). 1223–1241. 12 indexed citations

Steele‐Dunne, Susan, et al.. (2021). The influence of vegetation water dynamics on the ASCAT backscatter-incidence angle relationship in the Amazon. 1 indexed citations

Durand, Michael, Ana P. Barros, Jeff Dozier, et al.. (2021). Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations. AGU Advances. 2(4). 19 indexed citations

10.

Steele‐Dunne, Susan, et al.. (2020). Response of Subdaily L-Band Backscatter to Internal and Surface Canopy Water Dynamics. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7322–7337. 25 indexed citations

11.

Bouaziz, Laurène, Susan Steele‐Dunne, Jaap Schellekens, et al.. (2020). Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index. Water Resources Research. 56(3). 32 indexed citations

12.

Steele‐Dunne, Susan, et al.. (2019). Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. EGUGA. 13849. 1 indexed citations

13.

Vreugdenhil, Mariëtte, Sebastian Hahn, Wouter Dorigo, Susan Steele‐Dunne, & Wolfgang Wagner. (2019). Sentinel-1 backscatter dynamics for vegetation monitoring: Synergies and discordances with Vegetation Optical Depth. EGUGA. 7502. 1 indexed citations

14.

Emmerik, Tim van, Susan Steele‐Dunne, Pierre Gentine, et al.. (2018). Ideas and perspectives: Tree–atmosphere interaction responds to water-related stem variations. Biogeosciences. 15(21). 6439–6449. 6 indexed citations

15.

Tangdamrongsub, Natthachet, Susan Steele‐Dunne, B. C. Gunter, et al.. (2017). Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model. Hydrology and earth system sciences. 21(4). 2053–2074. 55 indexed citations

16.

Dong, Jianzhi, Susan Steele‐Dunne, Tyson E. Ochsner, & Nick van de Giesen. (2016). Determining soil moisture and soil properties in vegetated areas by assimilating soil temperatures. Water Resources Research. 52(6). 4280–4300. 35 indexed citations

17.

Tangdamrongsub, Natthachet, Susan Steele‐Dunne, B. C. Gunter, et al.. (2016). Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model. 3 indexed citations

18.

Liu, Pang‐Wei, Tara Bongiovanni, Alejandro Monsiváis-Huertero, et al.. (2016). Assimilation of Active and Passive Microwave Observations for Improved Estimates of Soil Moisture and Crop Growth. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(4). 1357–1369. 18 indexed citations

19.

Tangdamrongsub, Natthachet, Susan Steele‐Dunne, B. C. Gunter, P. Ditmar, & Albrecht Weerts. (2015). Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin. Hydrology and earth system sciences. 19(4). 2079–2100. 74 indexed citations

20.

Tangdamrongsub, Natthachet, Susan Steele‐Dunne, B. C. Gunter, P. Ditmar, & Albrecht Weerts. (2014). Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin. Publication Database GFZ (GFZ German Research Centre for Geosciences). 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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