Peter Haynes

12.8k total citations · 3 hit papers
129 papers, 9.1k citations indexed

About

Peter Haynes is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Peter Haynes has authored 129 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Atmospheric Science, 77 papers in Global and Planetary Change and 31 papers in Oceanography. Recurrent topics in Peter Haynes's work include Atmospheric Ozone and Climate (63 papers), Climate variability and models (53 papers) and Atmospheric chemistry and aerosols (33 papers). Peter Haynes is often cited by papers focused on Atmospheric Ozone and Climate (63 papers), Climate variability and models (53 papers) and Atmospheric chemistry and aerosols (33 papers). Peter Haynes collaborates with scholars based in United Kingdom, United States and France. Peter Haynes's co-authors include M. E. McIntyre, James R. Holton, L. Pfister, A. R. Douglass, Richard B. Rood, Emily Shuckburgh, T. G. Shepherd, S. Fueglistaler, Keith P. Shine and C. J. Marks and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Peter Haynes

125 papers receiving 8.6k citations

Hit Papers

Stratosphere‐troposphere exchange 1991 2026 2002 2014 1995 2001 1991 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Haynes United Kingdom 42 7.9k 6.8k 1.8k 1.4k 330 129 9.1k
Geoffrey K. Vallis United States 43 5.2k 0.7× 5.0k 0.7× 966 0.5× 4.3k 3.1× 915 2.8× 148 8.2k
Lorenzo M. Polvani United States 66 13.0k 1.6× 12.1k 1.8× 1.8k 1.0× 3.0k 2.2× 555 1.7× 269 15.3k
Akio Arakawa United States 38 6.8k 0.9× 6.2k 0.9× 470 0.3× 2.0k 1.5× 1.2k 3.6× 98 8.8k
Brian F. Farrell United States 41 3.4k 0.4× 3.6k 0.5× 613 0.3× 1.6k 1.2× 2.6k 7.9× 107 6.6k
J. G. Charney United States 20 5.1k 0.6× 5.2k 0.8× 893 0.5× 2.1k 1.5× 379 1.1× 30 7.4k
David G. Dritschel United Kingdom 38 2.4k 0.3× 1.2k 0.2× 1.2k 0.7× 2.2k 1.6× 1.8k 5.6× 181 4.9k
R. Alan Plumb United States 46 6.7k 0.8× 5.8k 0.9× 1.5k 0.8× 1.6k 1.1× 151 0.5× 112 7.6k
Joseph Tribbia United States 40 4.2k 0.5× 4.4k 0.6× 365 0.2× 1.8k 1.3× 415 1.3× 137 5.5k
Norman A. Phillips United States 23 2.7k 0.3× 2.2k 0.3× 465 0.3× 1.7k 1.2× 800 2.4× 56 4.6k
R. M. Samelson United States 37 3.6k 0.5× 3.9k 0.6× 138 0.1× 6.1k 4.5× 219 0.7× 125 7.3k

Countries citing papers authored by Peter Haynes

Since Specialization
Citations

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

Fields of papers citing papers by Peter Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Haynes

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Haynes. A scholar is included among the top collaborators of Peter Haynes 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 Haynes. Peter Haynes 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.
Kerswell, Rich R., et al.. (2024). Stochastic Latent Transformer: Efficient Modeling of Stochastically Forced Zonal Jets. Journal of Advances in Modeling Earth Systems. 16(6). 2 indexed citations
2.
Haynes, Peter, et al.. (2024). A simple model linking radiative–convective instability, convective aggregation and large-scale dynamics. Weather and Climate Dynamics. 5(3). 1153–1185.
3.
Haynes, Peter, et al.. (2024). How heating tracers drive self-lofting long-lived stratospheric anticyclones: simple dynamical models. Weather and Climate Dynamics. 5(2). 559–585.
4.
Haynes, Peter, et al.. (2024). Diagnosing tracer transport in convective penetration of a stably stratified layer. Journal of Fluid Mechanics. 997.
5.
Scaife, Adam A., Mark Baldwin, Amy H. Butler, et al.. (2022). Long-range prediction and the stratosphere. Atmospheric chemistry and physics. 22(4). 2601–2623. 40 indexed citations
6.
Scaife, Adam A., Mark Baldwin, Amy H. Butler, et al.. (2021). Long Range Prediction and the Stratosphere. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations
7.
Haynes, Peter, Peter B. Hitchcock, Matthew H. Hitchman, et al.. (2021). The Influence of the Stratosphere on the Tropical Troposphere. Journal of the Meteorological Society of Japan Ser II. 99(4). 803–845. 41 indexed citations
8.
Haynes, Peter, et al.. (2021). Excitable Madden–Julian Oscillation like behaviour of a simple model of equatorial moist dynamics results from a time step that is too large. Quarterly Journal of the Royal Meteorological Society. 148(743). 770–777. 2 indexed citations
9.
Haynes, Peter, et al.. (2021). Zonal scale and temporal variability of the Asian monsoon anticyclone in an idealised numerical model. Weather and Climate Dynamics. 2(2). 413–431. 6 indexed citations
10.
Haynes, Peter, et al.. (2021). Sensitivity of stratospheric water vapour to variability in tropical tropopause temperatures and large-scale transport. Atmospheric chemistry and physics. 21(4). 2469–2489. 8 indexed citations
11.
Ricaud, Philippe, et al.. (2021). Ice injected into the tropopause by deep convection – Part 2: Over the Maritime Continent. Atmospheric chemistry and physics. 21(3). 2191–2210. 1 indexed citations
12.
Hitchman, Matthew H., et al.. (2020). An Observational History of the Direct Influence of the Stratospheric Quasi-biennial Oscillation on the Tropical and Subtropical Upper Troposphere and Lower Stratosphere. Journal of the Meteorological Society of Japan Ser II. 99(2). 239–267. 34 indexed citations
13.
Ricaud, Philippe, et al.. (2019). Ice injected into the tropopause by deep convection – Part 1: In the austral convective tropics. Atmospheric chemistry and physics. 19(9). 6459–6479. 6 indexed citations
14.
Ming, Alison, Amanda C. Maycock, Peter B. Hitchcock, & Peter Haynes. (2016). The radiative role of ozone and water vapour in the temperatureannual cycle in the tropical tropopause layer. 3 indexed citations
15.
Cooper, Fenwick & Peter Haynes. (2013). Assessment of the fluctuation-dissipation theorem as an estimator of the tropospheric response to forcing.. EGU General Assembly Conference Abstracts. 13337. 2 indexed citations
16.
Haynes, Peter, et al.. (2007). Small-scale spatial structure in plankton distributions. Biogeosciences. 4(2). 173–179. 30 indexed citations
17.
Haynes, Peter, et al.. (2006). Small-scale spatial structure in plankton distributions. 4 indexed citations
18.
Pan, Likun, Heini Wernli, Horst Fischer, et al.. (2005). Processes governing the chemical composition of the extra-tropical UTLS. elib (German Aerospace Center). 1 indexed citations
19.
Schekochihin, A. A., Peter Haynes, & S. C. Cowley. (2004). Diffusion of passive scalar in a finite-scale random flow. Physical Review E. 70(4). 46304–46304. 19 indexed citations
20.
Bonazzola, Marine & Peter Haynes. (2003). A trajectory-based study of transport and dehydration in the tropical tropopause. EGS - AGU - EUG Joint Assembly. 9361. 1 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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