Peter Harrington

856 total citations · 1 hit paper
12 papers, 189 citations indexed

About

Peter Harrington is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Global and Planetary Change. According to data from OpenAlex, Peter Harrington has authored 12 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 4 papers in Astronomy and Astrophysics and 4 papers in Global and Planetary Change. Recurrent topics in Peter Harrington's work include Meteorological Phenomena and Simulations (5 papers), Climate variability and models (4 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Peter Harrington is often cited by papers focused on Meteorological Phenomena and Simulations (5 papers), Climate variability and models (4 papers) and Galaxies: Formation, Evolution, Phenomena (4 papers). Peter Harrington collaborates with scholars based in United States, Switzerland and Germany. Peter Harrington's co-authors include Jaideep Pathak, Thorsten Kurth, Anima Anandkumar, Shashank Subramanian, Karthik Kashinath, David Hall, Morteza Mardani, Zarija Lukić, George Stein and Benjamin Horowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

Peter Harrington

10 papers receiving 168 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.

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators

2023 98 citations Thorsten Kurth, Shashank Subramanian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Harrington United States	7	54	37	34	33	27	12	189
Anthony J. Martino United States	8	40 0.7×	42 1.1×	43 1.3×	16 0.5×	35 1.3×	32	221
Peter Nørgaard United States	4	92 1.7×	78 2.1×	14 0.4×	27 0.8×	5 0.2×	9	193
Mostafa Kiani Shahvandi Switzerland	9	21 0.4×	32 0.9×	37 1.1×	24 0.7×	6 0.2×	31	245
Tsae-Pyng J. Shen United States	7	133 2.5×	122 3.3×	19 0.6×	21 0.6×	45 1.7×	15	317
Vassilios Dallas United Kingdom	9	16 0.3×	22 0.6×	60 1.8×	32 1.0×	6 0.2×	17	282
Pablo Ruiz United States	9	17 0.3×	15 0.4×	21 0.6×	125 3.8×	90 3.3×	29	328
Carlos Osuna Switzerland	8	183 3.4×	132 3.6×	10 0.3×	16 0.5×	7 0.3×	15	342
Sandro Rambaldi Italy	10	39 0.7×	60 1.6×	13 0.4×	6 0.2×	12 0.4×	43	344
Kartik P. Iyer United States	11	86 1.6×	89 2.4×	35 1.0×	8 0.2×	8 0.3×	17	330
Salvatore Di Girolamo Switzerland	11	114 2.1×	112 3.0×	4 0.1×	31 0.9×	23 0.9×	29	373

Countries citing papers authored by Peter Harrington

Since Specialization

Citations

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

Fields of papers citing papers by Peter Harrington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Harrington

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Brenowitz, Noah, Yair Cohen, Jaideep Pathak, et al.. (2025). A Practical Probabilistic Benchmark for AI Weather Models. Geophysical Research Letters. 52(7). 8 indexed citations

2.

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators. Geoscientific model development. 18(17). 5575–5603. 2 indexed citations

3.

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators. Geoscientific model development. 18(17). 5605–5633. 1 indexed citations

4.

Xu, Wenbin, Adeesh Kolluru, Bowen Deng, et al.. (2025). Spin-informed universal graph neural networks for simulating magnetic ordering. Proceedings of the National Academy of Sciences. 122(27). e2422973122–e2422973122. 1 indexed citations

5.

Cohen, Yair, Peter Harrington, Michael S. Pritchard, et al.. (2025). Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales. Journal of Advances in Modeling Earth Systems. 17(10). 2 indexed citations

6.

Subramanian, Shashank, Ermal Rrapaj, Peter Harrington, et al.. (2024). Comprehensive Performance Modeling and System Design Insights for Foundation Models. 1380–1397.

7.

Kurth, Thorsten, Shashank Subramanian, Peter Harrington, et al.. (2023). FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. 1–11. 98 indexed citations breakdown →

8.

Harrington, Peter, et al.. (2023). Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning. The Astrophysical Journal. 958(1). 21–21. 6 indexed citations

9.

Stein, George, et al.. (2022). Mining for Strong Gravitational Lenses with Self-supervised Learning. The Astrophysical Journal. 932(2). 107–107. 29 indexed citations

10.

Horowitz, Benjamin, et al.. (2022). hyphy: Deep Generative Conditional Posterior Mapping of Hydrodynamical Physics. The Astrophysical Journal. 941(1). 42–42. 7 indexed citations

11.

Harrington, Peter, et al.. (2022). Fast, High-fidelity Lyα Forests with Convolutional Neural Networks. The Astrophysical Journal. 929(2). 160–160. 9 indexed citations

12.

Maruyama, Naoya, Nikoli Dryden, Erin McCarthy, et al.. (2020). The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism. IEEE Transactions on Parallel and Distributed Systems. 1–1. 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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