Joshua Soderholm

900 total citations
42 papers, 537 citations indexed

About

Joshua Soderholm is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Joshua Soderholm has authored 42 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Joshua Soderholm's work include Meteorological Phenomena and Simulations (29 papers), Climate variability and models (21 papers) and Precipitation Measurement and Analysis (12 papers). Joshua Soderholm is often cited by papers focused on Meteorological Phenomena and Simulations (29 papers), Climate variability and models (21 papers) and Precipitation Measurement and Analysis (12 papers). Joshua Soderholm collaborates with scholars based in Australia, United States and Germany. Joshua Soderholm's co-authors include Hamish A. McGowan, Samuel K. Marx, Steven C. Sherwood, Jason P. Evans, Matthew R. Kumjian, Balz S. Kamber, Robert A. Warren, Kevin Walsh, Alain Protat and Tammy M. Weckwerth and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Joshua Soderholm

39 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Soderholm Australia 14 420 327 82 66 39 42 537
Martín Jacques‐Coper Chile 14 400 1.0× 377 1.2× 39 0.5× 56 0.8× 23 0.6× 31 560
Matilde Nicolini Argentina 9 813 1.9× 852 2.6× 56 0.7× 97 1.5× 32 0.8× 21 1.0k
Piia Post Estonia 12 485 1.2× 492 1.5× 76 0.9× 49 0.7× 54 1.4× 44 748
Duncan Ackerley United Kingdom 14 782 1.9× 771 2.4× 37 0.5× 47 0.7× 49 1.3× 38 944
Alexandra Jonko United States 12 528 1.3× 581 1.8× 65 0.8× 45 0.7× 10 0.3× 25 748
Anita D. Rapp United States 17 831 2.0× 854 2.6× 104 1.3× 40 0.6× 51 1.3× 49 1000
Baomin Han China 12 104 0.2× 273 0.8× 98 1.2× 221 3.3× 31 0.8× 31 523
Diego Araneo Argentina 13 284 0.7× 261 0.8× 27 0.3× 56 0.8× 20 0.5× 33 474
Panmao Zhai China 10 388 0.9× 630 1.9× 72 0.9× 46 0.7× 14 0.4× 21 764

Countries citing papers authored by Joshua Soderholm

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Soderholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Soderholm

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Soderholm. A scholar is included among the top collaborators of Joshua Soderholm 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 Joshua Soderholm. Joshua Soderholm 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.
Vincent, Claire, et al.. (2025). Joint modulation of coastal rainfall in Northeast Australia by local and large‐scale forcings. Quarterly Journal of the Royal Meteorological Society. 152(774).
2.
Jakob, Christian, et al.. (2025). Stormy Subtropics and Stratiform South: Radar‐Based Classification and Analysis of Australian Rainfall Events. Journal of Geophysical Research Atmospheres. 130(2).
3.
Soderholm, Joshua, Matthew R. Kumjian, Alain Protat, et al.. (2025). Measuring Hail-like Trajectories and Growth with the Hailsonde. Bulletin of the American Meteorological Society. 106(10). E2128–E2142. 1 indexed citations
4.
Vincent, Claire, et al.. (2025). Modulations of local rainfall in northeast Australia associated with the Madden–Julian oscillation during austral summer. Quarterly Journal of the Royal Meteorological Society. 151(771). 1 indexed citations
5.
Ackermann, Luis, et al.. (2024). Radar and environment-based hail damage estimates using machine learning. Atmospheric measurement techniques. 17(2). 407–422. 6 indexed citations
6.
Kumjian, Matthew R., et al.. (2024). Modeling Nonspherical Hailstones. Journal of the Atmospheric Sciences. 81(11). 1849–1881. 2 indexed citations
7.
Jakob, Christian, et al.. (2024). Identification of Rainfall Events and Heavy Rainfall Events From Radar Measurements in Southeastern Australia. Journal of Geophysical Research Atmospheres. 129(2). 2 indexed citations
8.
Soderholm, Joshua & Matthew R. Kumjian. (2023). Automating the analysis of hailstone layers. Atmospheric measurement techniques. 16(3). 695–706. 9 indexed citations
9.
Raupach, Tim, Joshua Soderholm, Robert A. Warren, & Steven C. Sherwood. (2023). Changes in hail hazard across Australia: 1979–2021. npj Climate and Atmospheric Science. 6(1). 5 indexed citations
10.
Guyot, Adrien, et al.. (2023). Segmentation of polarimetric radar imagery using statistical texture. Atmospheric measurement techniques. 16(19). 4571–4588.
11.
Protat, Alain, et al.. (2023). The Effects of Spatial Interpolation on a Novel, Dual-Doppler 3D Wind Retrieval Technique. Journal of Atmospheric and Oceanic Technology. 40(10). 1325–1347. 1 indexed citations
12.
Hu, Cheng, Joshua Soderholm, Jason W. Chapman, et al.. (2022). Prospects for monitoring bird migration along the East Asian‐Australasian Flyway using weather radar. Remote Sensing in Ecology and Conservation. 9(2). 169–181. 15 indexed citations
13.
Protat, Alain, et al.. (2022). Three-way calibration checks using ground-based, ship-based, and spaceborne radars. Atmospheric measurement techniques. 15(4). 915–926. 4 indexed citations
14.
15.
Soderholm, Joshua, et al.. (2020). Quantifying hail size distributions from the sky – application of drone aerial photogrammetry. Atmospheric measurement techniques. 13(2). 747–754. 17 indexed citations
16.
Dowdy, Andrew, et al.. (2020). Quantifying Hail and Lightning Risk Factors Using Long‐Term Observations Around Australia. Journal of Geophysical Research Atmospheres. 125(21). 16 indexed citations
17.
McGowan, Hamish A., et al.. (2018). Global warming in the context of 2000 years of Australian alpine temperature and snow cover. Scientific Reports. 8(1). 4394–4394. 32 indexed citations
18.
Mortlock, Thomas, et al.. (2018). Extreme water levels, waves and coastal impacts during a severe tropical cyclone in northeastern Australia: a case study for cross-sector data sharing. Natural hazards and earth system sciences. 18(9). 2603–2623. 10 indexed citations
19.
Soderholm, Joshua, Hamish A. McGowan, H. Richter, et al.. (2017). An 18‐year climatology of hailstorm trends and related drivers across southeast Queensland, Australia. Quarterly Journal of the Royal Meteorological Society. 143(703). 1123–1135. 29 indexed citations
20.
Soderholm, Joshua, et al.. (2012). The Convective Features within and Surrounding Severe Tropical Cyclone Larry (2006). SHILAP Revista de lepidopterología. 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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