Michael Uddstrom

1.9k total citations
39 papers, 1.3k citations indexed

About

Michael Uddstrom is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Michael Uddstrom has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 21 papers in Atmospheric Science and 10 papers in Oceanography. Recurrent topics in Michael Uddstrom's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Michael Uddstrom is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Michael Uddstrom collaborates with scholars based in New Zealand, United States and United Kingdom. Michael Uddstrom's co-authors include Niles Oien, Martyn Clark, Jochen Schmidt, A. G. Slater, Ross Woods, Richard P. Ibbitt, Xiaogu Zheng, David E. Rupp, W. R. Gray and Larry M. McMillin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the Atmospheric Sciences and Journal of Animal Ecology.

In The Last Decade

Michael Uddstrom

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Uddstrom New Zealand 17 705 606 455 285 258 39 1.3k
K. Laval France 20 1.2k 1.7× 622 1.0× 498 1.1× 175 0.6× 315 1.2× 28 1.5k
Hervé Douville France 23 1.4k 1.9× 932 1.5× 405 0.9× 168 0.6× 256 1.0× 30 1.7k
Alejandro N. Flores United States 21 392 0.6× 501 0.8× 348 0.8× 332 1.2× 341 1.3× 86 1.4k
Michael Sparrow United Kingdom 15 850 1.2× 732 1.2× 165 0.4× 445 1.6× 346 1.3× 23 1.5k
Changgui Lin China 18 1.4k 2.0× 1.8k 3.0× 306 0.7× 479 1.7× 178 0.7× 28 2.3k
Sylvain Biancamaria France 23 1.5k 2.1× 501 0.8× 1.3k 2.8× 319 1.1× 412 1.6× 59 2.0k
Bertrand Bonan France 14 1.9k 2.7× 1.7k 2.8× 310 0.7× 467 1.6× 212 0.8× 36 2.5k
Michael A. Brunke United States 20 1.1k 1.5× 995 1.6× 187 0.4× 173 0.6× 417 1.6× 40 1.5k
Manuela Girotto United States 21 691 1.0× 1.1k 1.8× 583 1.3× 387 1.4× 380 1.5× 44 1.8k
Frederiek Sperna Weiland Netherlands 15 1.0k 1.5× 440 0.7× 706 1.6× 136 0.5× 178 0.7× 28 1.4k

Countries citing papers authored by Michael Uddstrom

Since Specialization
Citations

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

Fields of papers citing papers by Michael Uddstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Uddstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Uddstrom. A scholar is included among the top collaborators of Michael Uddstrom 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 Michael Uddstrom. Michael Uddstrom 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.
Uddstrom, Michael. (2023). Environmental prediction and innovation. 68(1). 37–41.
2.
Carey‐Smith, Trevor, et al.. (2015). Prediction of Moderate and Heavy Rainfall in New Zealand Using Data Assimilation and Ensemble. Advances in Meteorology. 2015. 1–14. 2 indexed citations
3.
Turner, Richard, Natalia Pardo, Gábor Kereszturi, et al.. (2014). The use of Numerical Weather Prediction and a Lagrangian transport (NAME-III) and dispersion (ASHFALL) models to explain patterns of observed ash deposition and dispersion following the August 2012 Te Maari, New Zealand eruption. Journal of Volcanology and Geothermal Research. 286. 437–451. 16 indexed citations
4.
McMillan, Hilary, Einar Örn Hreinsson, Martyn Clark, et al.. (2013). Operational hydrological data assimilation with the recursive ensemble Kalman filter. Hydrology and earth system sciences. 17(1). 21–38. 98 indexed citations
5.
Uddstrom, Michael, et al.. (2013). Soil moisture simulation by JULES in New Zealand: verification and sensitivity tests. Meteorological Applications. 21(4). 888–897. 7 indexed citations
6.
7.
Uddstrom, Michael, et al.. (2010). Numerical Simulations of Effects of Soil Moisture and Modification by Mountains over New Zealand in Summer. Monthly Weather Review. 139(2). 494–510. 11 indexed citations
8.
Webster, Stuart, et al.. (2008). A high‐resolution modelling case study of a severe weather event over New Zealand. Atmospheric Science Letters. 9(3). 119–128. 29 indexed citations
9.
Mills, James A., John W. Yarrall, Janet M. Bradford‐Grieve, et al.. (2008). The impact of climate fluctuation on food availability and reproductive performance of the planktivorous red‐billed gullLarus novaehollandiae scopulinus. Journal of Animal Ecology. 77(6). 1129–1142. 69 indexed citations
10.
Hadfield, Mark G., G. J. Rickard, & Michael Uddstrom. (2007). A hydrodynamic model of Chatham Rise, New Zealand. New Zealand Journal of Marine and Freshwater Research. 41(2). 239–264. 31 indexed citations
11.
Ibbitt, Richard P., Martyn Clark, Ross Woods, et al.. (2007). Hydrological Data Assimilation with the Ensemble Kalman Filter: Use of Streamflow Observations to Update States in a Distributed Hydrological Model. AGU Fall Meeting Abstracts. 2007. 2 indexed citations
12.
Snelder, Ton H., John R. Leathwick, Katie Dey, et al.. (2006). Development of an Ecologic Marine Classification in the New Zealand Region. Environmental Management. 39(1). 12–29. 42 indexed citations
13.
Durre, Imke, Anthony Reale, David Carlson, et al.. (2005). Improving the Usefulness of Operational Radiosonde Data. Bulletin of the American Meteorological Society. 86(3). 411–416. 12 indexed citations
14.
Kirby, David S., et al.. (2003). Tuna schools/aggregations in surface longline data 1993–98. New Zealand Journal of Marine and Freshwater Research. 37(3). 633–644. 4 indexed citations
15.
Chang, F. Hoe, Stephen M. Chiswell, & Michael Uddstrom. (2001). Occurrence and distribution of Karenia brevisulcata (Dinophyceae) during the 1998 summer toxic outbreaks on the central east coast of New Zealand. Phycologia. 40(3). 215–221. 26 indexed citations
16.
Uddstrom, Michael, et al.. (2001). A High-Resolution Analysis of Cloud Amount and Type over Complex Topography. Journal of Applied Meteorology. 40(1). 16–33. 11 indexed citations
17.
Oien, Niles, et al.. (1998). Coherent signals in the temperature and height of the sea surface off North Cape, New Zealand. New Zealand Journal of Marine and Freshwater Research. 32(2). 187–202. 4 indexed citations
18.
Uddstrom, Michael & W. R. Gray. (1996). Satellite Cloud Classification and Rain-Rate Estimation Using Multispectral Radiances and Measures of Spatial Texture. Journal of Applied Meteorology. 35(6). 839–858. 35 indexed citations
19.
McMillin, Larry M., et al.. (1992). A Procedure for Correcting Radiosonde Reports for Radiation Errors. Journal of Atmospheric and Oceanic Technology. 9(6). 801–811. 21 indexed citations
20.
Uddstrom, Michael. (1988). Retrieval of Atmospheric Profiles from Satellite Radiance Data by Typical Shape Function Maximum a Posteriori Simultaneous Retrieval Estimators. Journal of Applied Meteorology. 27(5). 515–549. 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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