Richard Loft

1.3k citations
31 papers · 934 indexed · h-index 14

Richard Loft

31 papers receiving 898 citations

Peers

Richard Loft
Comparison fields: 5 of 63
  • Atmospheric Science 483
  • Oceanography 229
  • Computational Mechanics 321
  • Global and Planetary Change 316
  • Numerical Analysis 74
Replace Xinhao Liao with:
Xinhao Liao China
Alexandros Alexakis France
Eric Vanden Eijnden Belgium
C. Ronchi United States
Thomas L. Clune United States
Daniel Lecoanet United States
Bruce Turkington United States
Andrew D. Gilbert United Kingdom
Marcel Oliver Germany
Ulrich Achatz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Richard Loft

Since Specialization
Citations

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

Fields of papers citing papers by Richard Loft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Richard Loft, 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 Richard Loft Line = papers co-authored together Richard Loft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20207
2
Machine Learning Parameterization of the Surface Layer: Bridging the Observation-Modeling Gap
20191
3
Accelerating MPAS-A model radiation schemes on GPUs using OpenACC
20191
4
Using Machine Learning to Emulate Critical Cloud Microphysical Processes
20183
5 20183
6 2012192
7 200810
8 20088
9 200735
10 20057
11 2005126
12 20048
13 200247
14 200152
15 19981
16 19965
17
A Data Parallel Implementation of the NCAR Community Climate Model (CCM2).
19952
18 199518
19 19898
20 198753

About Richard Loft

Richard Loft is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Numerical Analysis and Nuclear and High Energy Physics, having authored 31 papers that have together received 934 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (17 papers), Climate variability and models (13 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Oceanographic and Atmospheric Processes (6 papers), Particle physics theoretical and experimental studies (4 papers), High-Energy Particle Collisions Research (4 papers), Quantum Chromodynamics and Particle Interactions (4 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Atmospheric Science (483 citations), Oceanography (229 citations), Computational Mechanics (321 citations), Global and Planetary Change (316 citations) and Numerical Analysis (74 citations). Richard Loft has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen Thomas, Ramachandran D. Nair, Thomas DeGrand, John M. Dennis, Robert A. Tomas, Frank O. Bryan, Ben P. Kirtman, Cristiana Stan, Cecilia M. Bitz and James L. Kinter. Their work appears in journals such as Journal of Scientific Computing, Monthly Weather Review, Parallel Computing, Computer Physics Communications and The International Journal of High Performance Computing Applications.

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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