Sam Hatfield

805 total citations · 1 hit paper
14 papers, 389 citations indexed

About

Sam Hatfield is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Networks and Communications. According to data from OpenAlex, Sam Hatfield has authored 14 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 2 papers in Computer Networks and Communications. Recurrent topics in Sam Hatfield's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Sam Hatfield is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Sam Hatfield collaborates with scholars based in United Kingdom, United States and Japan. Sam Hatfield's co-authors include T. N. Palmer, Peter Düben, Matthew Chantry, Peter Dueben, Milan Klöwer, Philippe Lopez, Peter Nørgaard, Álvaro Sánchez‐González, Jamie Smith and Michael P. Brenner and has published in prestigious journals such as Nature, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Sam Hatfield

13 papers receiving 375 citations

Hit Papers

align trajectories

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.

Neural general circulation models for weather and climate

2024 153 citations Dmitrii Kochkov, Janni Yuval et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Hatfield United Kingdom	9	267	224	51	49	44	14	389
Alban Farchi France	10	228 0.9×	175 0.8×	28 0.5×	62 1.3×	65 1.5×	27	438
Tom Beucler United States	11	263 1.0×	237 1.1×	27 0.5×	70 1.4×	81 1.8×	30	453
Ian Langmore United States	10	155 0.6×	138 0.6×	28 0.5×	59 1.2×	50 1.1×	20	444
Aidan Clark United Kingdom	4	359 1.3×	275 1.2×	30 0.6×	125 2.6×	90 2.0×	5	593
Andrew Dawson United Kingdom	10	379 1.4×	379 1.7×	130 2.5×	24 0.5×	17 0.4×	17	502
Janni Yuval United States	12	431 1.6×	417 1.9×	101 2.0×	83 1.7×	60 1.4×	20	623
Ellen Clancy United Kingdom	2	358 1.3×	275 1.2×	30 0.6×	124 2.5×	70 1.6×	2	572
Matthew Norman United States	11	300 1.1×	244 1.1×	28 0.5×	48 1.0×	27 0.6×	36	491
Rachel Prudden United Kingdom	5	431 1.6×	346 1.5×	44 0.9×	135 2.8×	77 1.8×	6	650
Matthias Morzfeld United States	11	116 0.4×	57 0.3×	31 0.6×	26 0.5×	35 0.8×	30	249

Countries citing papers authored by Sam Hatfield

Since Specialization

Citations

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

Fields of papers citing papers by Sam Hatfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Hatfield

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

All Works

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14 of 14 papers shown

Polichtchouk, Inna, Kristian Mogensen, Elizabeth R. Sanabia, et al.. (2025). Effects of Atmosphere and Ocean Horizontal Model Resolution on Tropical Cyclone and Upper-Ocean Response Forecasts in Four Major Hurricanes. Monthly Weather Review. 153(11). 2257–2278.

Klöwer, Milan, J. Willmert, Gregory LeClaire Wagner, et al.. (2024). SpeedyWeather.jl: Reinventing atmospheric generalcirculation models towards interactivity and extensibility. The Journal of Open Source Software. 9(98). 6323–6323. 3 indexed citations

Kochkov, Dmitrii, Janni Yuval, Ian Langmore, et al.. (2024). Neural general circulation models for weather and climate. Nature. 632(8027). 1060–1066. 153 indexed citations breakdown →

Klöwer, Milan, et al.. (2022). Fluid Simulations Accelerated With 16 Bits: Approaching 4x Speedup on A64FX by Squeezing ShallowWaters.jl Into Float16. Journal of Advances in Modeling Earth Systems. 14(2). e2021MS002684–e2021MS002684. 10 indexed citations

Anantharaj, Valentine, Sam Hatfield, Inna Polichtchouk, et al.. (2022). An open science exploration of global 1-km simulations of the earth's atmosphere. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Lang, Simon, Andrew Dawson, Michail Diamantakis, et al.. (2021). More accuracy with less precision. Quarterly Journal of the Royal Meteorological Society. 147(741). 4358–4370. 19 indexed citations

Hatfield, Sam, Matthew Chantry, Peter Dueben, et al.. (2021). Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks. Journal of Advances in Modeling Earth Systems. 13(9). 44 indexed citations

Chantry, Matthew, Sam Hatfield, Peter Düben, Inna Polichtchouk, & T. N. Palmer. (2021). Machine learning emulation of gravity wave drag in numerical weather forecasting. 15 indexed citations

Saffin, Leo, Sam Hatfield, Peter Düben, & T. N. Palmer. (2020). Reduced‐precision parametrization: lessons from an intermediate‐complexity atmospheric model. Quarterly Journal of the Royal Meteorological Society. 146(729). 1590–1607. 6 indexed citations

10.

Hatfield, Sam, Andrew T. T. McRae, T. N. Palmer, & Peter Düben. (2020). Single-Precision in the Tangent-Linear and Adjoint Models of Incremental 4D-Var. Monthly Weather Review. 148(4). 1541–1552. 3 indexed citations

11.

Wedi, Nils, Inna Polichtchouk, Peter Dueben, et al.. (2020). A Baseline for Global Weather and Climate Simulations at 1 km Resolution. Journal of Advances in Modeling Earth Systems. 12(11). 76 indexed citations

12.

Hatfield, Sam, Matthew Chantry, Peter Düben, & T. N. Palmer. (2019). Accelerating High-Resolution Weather Models with Deep-Learning Hardware. 1–11. 19 indexed citations

13.

Hatfield, Sam, Peter Düben, Matthew Chantry, et al.. (2018). Choosing the Optimal Numerical Precision for Data Assimilation in the Presence of Model Error. Journal of Advances in Modeling Earth Systems. 10(9). 2177–2191. 18 indexed citations

14.

Hatfield, Sam, Aneesh C. Subramanian, T. N. Palmer, & Peter Düben. (2017). Improving Weather Forecast Skill through Reduced-Precision Data Assimilation. Monthly Weather Review. 146(1). 49–62. 22 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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