Alex Schuddeboom

903 total citations · 1 hit paper
17 papers, 466 citations indexed

About

Alex Schuddeboom is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Alex Schuddeboom has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 2 papers in Artificial Intelligence. Recurrent topics in Alex Schuddeboom's work include Atmospheric aerosols and clouds (10 papers), Climate variability and models (9 papers) and Atmospheric chemistry and aerosols (8 papers). Alex Schuddeboom is often cited by papers focused on Atmospheric aerosols and clouds (10 papers), Climate variability and models (9 papers) and Atmospheric chemistry and aerosols (8 papers). Alex Schuddeboom collaborates with scholars based in New Zealand, United Kingdom and Sweden. Alex Schuddeboom's co-authors include Adrian McDonald, Laura E. Revell, Sally Gaw, Helena Ruffell, Michelle LaRue, Alex Aves, Mike Harvey, Olaf Morgenstern, James Renwick and Vidya Varma and has published in prestigious journals such as Geophysical Research Letters, Nature Geoscience and Atmospheric chemistry and physics.

In The Last Decade

Alex Schuddeboom

15 papers receiving 458 citations

Hit Papers

First evidence of microplastics in Antarctic snow 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Schuddeboom New Zealand 9 235 188 182 160 43 17 466
Peter Kuma New Zealand 9 219 0.9× 159 0.8× 154 0.8× 152 0.9× 50 1.2× 18 437
Jane Eert Canada 7 200 0.9× 81 0.4× 68 0.4× 131 0.8× 33 0.8× 9 389
Weimin Wang China 8 443 1.9× 210 1.1× 145 0.8× 339 2.1× 129 3.0× 21 714
Chengde Yang China 7 161 0.7× 70 0.4× 198 1.1× 134 0.8× 45 1.0× 13 405
Takahito Ikenoue Japan 14 108 0.5× 180 1.0× 86 0.5× 81 0.5× 18 0.4× 31 441
Md. Rashedul Haque Bangladesh 8 205 0.9× 76 0.4× 35 0.2× 147 0.9× 22 0.5× 18 332
Seongbong Seo South Korea 9 187 0.8× 48 0.3× 57 0.3× 121 0.8× 36 0.8× 23 306
Xuehai Liu China 8 255 1.1× 41 0.2× 32 0.2× 211 1.3× 85 2.0× 20 389
Tianning Wu United States 7 512 2.2× 38 0.2× 59 0.3× 416 2.6× 104 2.4× 13 655

Countries citing papers authored by Alex Schuddeboom

Since Specialization
Citations

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

Fields of papers citing papers by Alex Schuddeboom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Schuddeboom

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

All Works

17 of 17 papers shown
1.
Revell, Laura E., Adrian McDonald, Alexander T. Archibald, et al.. (2024). Aerosol and Dimethyl Sulfide Sensitivity to Sulfate Chemistry Schemes. Journal of Geophysical Research Atmospheres. 129(12). 3 indexed citations
2.
McDonald, Adrian, N Chris, Dáithí A. Stone, et al.. (2024). Regional characteristics of extreme precipitation events over Aotearoa New Zealand. Weather and Climate Extremes. 44. 100687–100687.
3.
Kuma, Peter, Frida A.‐M. Bender, Alex Schuddeboom, Adrian McDonald, & Øyvind Seland. (2023). Machine learning of cloud types in satellite observations and climate models. Atmospheric chemistry and physics. 23(1). 523–549. 12 indexed citations
4.
McDonald, Adrian, et al.. (2023). Positive correlation between wet-day frequency and intensity linked to universal precipitation drivers. Nature Geoscience. 16(5). 410–415. 23 indexed citations
5.
McDonald, Adrian, et al.. (2023). An Assessment of Extra‐Tropical Cyclone Precipitation Extremes Over the Southern Hemisphere Using ERA5. Geophysical Research Letters. 50(17). 5 indexed citations
6.
McDonald, Adrian, N Chris, Dáithí A. Stone, et al.. (2023). Regional Characteristics of Extreme Precipitation Events Over Aotearoa New Zealand. SSRN Electronic Journal.
7.
Revell, Laura E., Alex Schuddeboom, Adrian McDonald, et al.. (2023). The sensitivity of Southern Ocean atmospheric dimethyl sulfide (DMS) to modeled oceanic DMS concentrations and emissions. Atmospheric chemistry and physics. 23(24). 15181–15196. 6 indexed citations
8.
McDonald, Adrian, et al.. (2023). An Assessment of Southern Hemisphere Extratropical Cyclones in ERA5 Using WindSat. Journal of Geophysical Research Atmospheres. 128(22). 4 indexed citations
9.
Aves, Alex, Laura E. Revell, Sally Gaw, et al.. (2022). First evidence of microplastics in Antarctic snow. ˜The œcryosphere. 16(6). 2127–2145. 256 indexed citations breakdown →
10.
Kuma, Peter, Frida A.‐M. Bender, Alex Schuddeboom, Adrian McDonald, & Øyvind Seland. (2022). Machine learning of cloud types in satellite observations and climate models. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Kuma, Peter, Frida A.‐M. Bender, Alex Schuddeboom, Adrian McDonald, & Øyvind Seland. (2022). Machine learning of cloud types in satellite observations and climate models. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
McDonald, Adrian, et al.. (2021). Comparing Satellite‐ and Ground‐Based Observations of Cloud Occurrence Over High Southern Latitudes. Journal of Geophysical Research Atmospheres. 126(6). 21 indexed citations
13.
Schuddeboom, Alex & Adrian McDonald. (2021). The Southern Ocean Radiative Bias, Cloud Compensating Errors, and Equilibrium Climate Sensitivity in CMIP6 Models. Journal of Geophysical Research Atmospheres. 126(22). 44 indexed citations
14.
Schuddeboom, Alex, Vidya Varma, Adrian McDonald, et al.. (2019). Cluster‐Based Evaluation of Model Compensating Errors: A Case Study of Cloud Radiative Effect in the Southern Ocean. Geophysical Research Letters. 46(6). 3446–3453. 14 indexed citations
15.
Revell, Laura E., Stefanie Kremser, Mike Harvey, et al.. (2019). The sensitivity of Southern Ocean aerosols and cloud microphysics to sea spray and sulfate aerosol production in the HadGEM3-GA7.1 chemistry–climate model. Atmospheric chemistry and physics. 19(24). 15447–15466. 37 indexed citations
16.
Schuddeboom, Alex, et al.. (2018). Regional Regime‐Based Evaluation of Present‐Day General Circulation Model Cloud Simulations Using Self‐Organizing Maps. Journal of Geophysical Research Atmospheres. 123(8). 4259–4272. 19 indexed citations
17.
McDonald, Adrian, et al.. (2016). An automated satellite cloud classification scheme using self‐organizing maps: Alternative ISCCP weather states. Journal of Geophysical Research Atmospheres. 121(21). 20 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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