Peter Uhe

2.9k total citations · 1 hit paper
27 papers, 1.3k citations indexed

About

Peter Uhe is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Peter Uhe has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 5 papers in Water Science and Technology. Recurrent topics in Peter Uhe's work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (13 papers) and Hydrology and Drought Analysis (5 papers). Peter Uhe is often cited by papers focused on Climate variability and models (14 papers), Meteorological Phenomena and Simulations (13 papers) and Hydrology and Drought Analysis (5 papers). Peter Uhe collaborates with scholars based in United Kingdom, United States and Australia. Peter Uhe's co-authors include Friederike E. L. Otto, Heidi Cullen, Christopher Sampson, Jeffrey Neal, Laurence Hawker, James Savage, Jeison Sosa, Geert Jan van Oldenborgh, Dann Mitchell and Sarah Kew and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Science Advances.

In The Last Decade

Peter Uhe

27 papers receiving 1.3k citations

Hit Papers

A 30 m global map of elevation with forests and buildings... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Uhe United Kingdom 16 874 527 257 196 137 27 1.3k
Jianqing Zhai China 20 912 1.0× 536 1.0× 456 1.8× 191 1.0× 148 1.1× 31 1.4k
Elisa Ragno Netherlands 14 1.4k 1.6× 636 1.2× 335 1.3× 206 1.1× 226 1.6× 23 1.9k
Diana Rechid Germany 23 1.3k 1.4× 853 1.6× 174 0.7× 221 1.1× 109 0.8× 69 1.6k
Annette L. Hirsch Australia 20 1.2k 1.4× 686 1.3× 164 0.6× 273 1.4× 117 0.9× 34 1.5k
Selma B. Guerreiro United Kingdom 15 1.5k 1.7× 845 1.6× 431 1.7× 298 1.5× 159 1.2× 21 1.8k
Oluwafemi E. Adeyeri Australia 24 913 1.0× 392 0.7× 387 1.5× 319 1.6× 116 0.8× 63 1.3k
Ali Mehran United States 14 1.2k 1.4× 725 1.4× 493 1.9× 279 1.4× 181 1.3× 21 1.8k
Andreas M. Fischer Switzerland 23 1.0k 1.2× 891 1.7× 143 0.6× 156 0.8× 86 0.6× 43 1.4k
Sarah Sparrow United Kingdom 25 1.5k 1.7× 995 1.9× 186 0.7× 148 0.8× 194 1.4× 88 2.1k
Bridget Thrasher United States 11 1.2k 1.3× 701 1.3× 480 1.9× 164 0.8× 123 0.9× 20 1.8k

Countries citing papers authored by Peter Uhe

Since Specialization
Citations

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

Fields of papers citing papers by Peter Uhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Uhe

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Uhe. A scholar is included among the top collaborators of Peter Uhe 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 Peter Uhe. Peter Uhe 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.
Uhe, Peter, Dann Mitchell, Paul Bates, et al.. (2021). Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0. Geoscientific model development. 14(8). 4865–4890. 4 indexed citations
2.
Añel, Juan Antonio, et al.. (2020). Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits. Computers. 9(2). 52–52. 12 indexed citations
3.
Uhe, Peter. (2020). pfuhe1/flood-cascade: Version 1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Uhe, Peter, Dann Mitchell, Paul Bates, et al.. (2020). Method Uncertainty Is Essential for Reliable Confidence Statements of Precipitation Projections. Journal of Climate. 34(3). 1227–1240. 10 indexed citations
5.
Lo, Y. T. Eunice, Dann Mitchell, Antonio Gasparrini, et al.. (2019). Increasing mitigation ambition to meet the Paris Agreement’s temperature goal avoids substantial heat-related mortality in U.S. cities. Science Advances. 5(6). eaau4373–eaau4373. 48 indexed citations
6.
Mitchell, Dann, Kai Kornhuber, Chris Huntingford, & Peter Uhe. (2019). The day the 2003 European heatwave record was broken. The Lancet Planetary Health. 3(7). e290–e292. 45 indexed citations
7.
Uhe, Peter, Dann Mitchell, Paul Bates, et al.. (2019). Enhanced flood risk with 1.5 °C global warming in the Ganges–Brahmaputra–Meghna basin. Environmental Research Letters. 14(7). 74031–74031. 41 indexed citations
8.
Oldenborgh, Geert Jan van, Sjoukje Philip, Sarah Kew, et al.. (2018). Extreme heat in India and anthropogenic climate change. Natural hazards and earth system sciences. 18(1). 365–381. 127 indexed citations
9.
King, Andrew D., Reto Knutti, Peter Uhe, et al.. (2018). On the Linearity of Local and Regional Temperature Changes from 1.5°C to 2°C of Global Warming. Journal of Climate. 31(18). 7495–7514. 35 indexed citations
10.
Guillod, Benoît P., Richard Jones, Andy Bowery, et al.. (2017). weather@home 2: validation of an improved global–regional climate modelling system. Geoscientific model development. 10(5). 1849–1872. 71 indexed citations
11.
Añel, Juan Antonio, et al.. (2017). Enabling BOINC in infrastructure as a service cloud system. Geoscientific model development. 10(2). 811–826. 10 indexed citations
12.
Uhe, Peter, Sjoukje Philip, Sarah Kew, et al.. (2017). Attributing drivers of the 2016 Kenyan drought. International Journal of Climatology. 38(S1). 73 indexed citations
13.
Otto, Friederike E. L., Karin van der Wiel, Geert Jan van Oldenborgh, et al.. (2017). Climate change increases the probability of heavy rains in Northern England/Southern Scotland like those of storm Desmond—a real-time event attribution revisited. Environmental Research Letters. 13(2). 24006–24006. 79 indexed citations
14.
Haustein, Karsten, Friederike E. L. Otto, Peter Uhe, Myles Allen, & Heidi Cullen. (2016). Fast-track extreme event attribution: How fast can we disentangle thermodynamic (forced) and dynamic (internal) contributions?. EGU General Assembly Conference Abstracts. 2 indexed citations
16.
Haustein, Karsten, Friederike E. L. Otto, Peter Uhe, et al.. (2016). Real-time extreme weather event attribution with forecast seasonal SSTs. Environmental Research Letters. 11(6). 64006–64006. 36 indexed citations
17.
Haustein, Karsten, Friederike E. L. Otto, Peter Uhe, Myles Allen, & Heidi Cullen. (2015). Climate Central World Weather Attribution (WWA) project: Real-time extreme weather event attribution analysis. EGUGA. 12788. 1 indexed citations
18.
Uhe, Peter & Marcus Thatcher. (2015). A spectral nudging method for the ACCESS1.3 atmospheric model. Geoscientific model development. 8(6). 1645–1658. 10 indexed citations
19.
Dix, Martin, Peter Vohralik, Daohua Bi, et al.. (2013). The ACCESS coupled model: documentation of core CMIP5 simulations and initial results. 63(1). 83–99. 70 indexed citations
20.
Marsland, Simon, Daohua Bi, Petteri Uotila, et al.. (2013). Evaluation of ACCESS climate model ocean diagnostics in CMIP5 simulations. 63(1). 101–119. 26 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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