Sam Hatfield

914 citations
14 papers · 553 · 1 hit paper · h-index 9

Impact in

Papers in

Sam Hatfield

14 papers receiving 539 citations

Sam Hatfield's Hit Papers

Neural general circulation models for weather and climate 2024 · 267 citations
2670+1Years since publication50100150200250

Peers

Sam Hatfield
Comparison fields: 5 of 52
  • Atmospheric Science 308
  • Global and Planetary Change 122
  • Hardware and Architecture 39
  • Environmental Engineering 46
  • Statistical and Nonlinear Physics 41
Replace Peter D. Düben with:
Peter D. Düben United Kingdom
Matthew Chantry United Kingdom
James W. Lottes United States
Willem Deconinck United Kingdom
Baudouin Raoult United Kingdom
Simon T. K. Lang United Kingdom
Atanas L. Trayanov United States
Panagiotis A. Adamidis Germany
Christian Kühnlein United Kingdom
Oswald Knoth Germany
Sam Hatfield relative to Peter D. Düben United Kingdom Peter D. Düben's profile →
Citations per field
00.5×1.5×
Peter D. Düben · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sam Hatfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Hatfield Line = papers co-authored together Sam Hatfield links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Neural general circulation models for weather and climate
Hit paper breakdown →
2024267
2 202091
3 202157
4 201725
5 201925
6 202125
7 201818
8 202217
9 202411
10 20209
11 20203
12 20243
13 20221
14 20251

About Sam Hatfield

Sam Hatfield is a scholar working on Atmospheric Science, Hardware and Architecture, Information Systems and Management, Computational Theory and Mathematics and Global and Planetary Change, having authored 14 papers that have together received 553 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (11 papers), Tropical and Extratropical Cyclones Research (1 paper), Research Data Management Practices (1 paper), Climate variability and models (1 paper), Parallel Computing and Optimization Techniques (1 paper), Scientific Computing and Data Management (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Atmospheric Science (308 citations), Global and Planetary Change (122 citations), Hardware and Architecture (39 citations), Environmental Engineering (46 citations) and Statistical and Nonlinear Physics (41 citations). Sam Hatfield has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Tim Palmer, Peter Dominik Dueben, Peter D. Düben, Milan Klöwer, Matthew Chantry, Peter Nørgaard, James W. Lottes, Stephan Rasp, Dmitrii Kochkov and Peter Battaglia. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, Monthly Weather Review, Quarterly Journal of the Royal Meteorological Society, Nature and Procedia Computer Science.

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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