Rosemary Morrow

6.0k total citations · 2 hit papers
83 papers, 3.3k citations indexed

About

Rosemary Morrow is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Rosemary Morrow has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Oceanography, 35 papers in Atmospheric Science and 35 papers in Global and Planetary Change. Recurrent topics in Rosemary Morrow's work include Oceanographic and Atmospheric Processes (69 papers), Ocean Waves and Remote Sensing (35 papers) and Climate variability and models (28 papers). Rosemary Morrow is often cited by papers focused on Oceanographic and Atmospheric Processes (69 papers), Ocean Waves and Remote Sensing (35 papers) and Climate variability and models (28 papers). Rosemary Morrow collaborates with scholars based in France, United States and Australia. Rosemary Morrow's co-authors include Pierre‐Yves Le Traon, Lee‐Lueng Fu, Dudley B. Chelton, Alexis Chaigneau, Florence Birol, Jean‐Baptiste Sallée, Gérald Dibarboure, Cori Pegliasco, F. Fang and Kevin Speer and has published in prestigious journals such as Nature, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Rosemary Morrow

79 papers receiving 3.2k citations

Hit Papers

Global Observations of Fine-Scale Ocean Surface Topograph... 2019 2026 2021 2023 2019 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosemary Morrow France 30 3.0k 1.6k 1.2k 168 148 83 3.3k
J. Thomas Farrar United States 31 2.3k 0.8× 1.3k 0.8× 1.3k 1.1× 256 1.5× 67 0.5× 108 2.8k
Yannice Faugère France 23 2.4k 0.8× 1.0k 0.6× 858 0.7× 88 0.5× 161 1.1× 54 2.6k
Paolo Cipollini United Kingdom 31 3.0k 1.0× 1.2k 0.7× 1.1k 0.9× 230 1.4× 307 2.1× 118 3.6k
Ichiro Fukumori United States 41 3.5k 1.2× 2.5k 1.5× 1.9k 1.6× 106 0.6× 263 1.8× 100 4.3k
Gérald Dibarboure France 24 2.1k 0.7× 886 0.6× 760 0.6× 54 0.3× 145 1.0× 74 2.3k
Kristian Mogensen United Kingdom 20 1.8k 0.6× 2.5k 1.6× 2.2k 1.8× 68 0.4× 121 0.8× 32 3.2k
Nicolas Picot France 28 3.1k 1.0× 1.1k 0.7× 1.2k 1.0× 106 0.6× 474 3.2× 90 3.6k
Michäel Ablain France 29 2.8k 0.9× 1.2k 0.7× 1000 0.8× 113 0.7× 581 3.9× 65 3.3k
G. Larnicol France 17 1.6k 0.6× 932 0.6× 723 0.6× 96 0.6× 94 0.6× 24 1.9k
Stefano Vignudelli Italy 21 1.6k 0.5× 532 0.3× 536 0.4× 179 1.1× 129 0.9× 81 1.9k

Countries citing papers authored by Rosemary Morrow

Since Specialization
Citations

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

Fields of papers citing papers by Rosemary Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Morrow. A scholar is included among the top collaborators of Rosemary Morrow 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 Rosemary Morrow. Rosemary Morrow 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.
Siegelman, Lia, et al.. (2025). Southern Ocean 3D Eddy Diagnostics Derived From SWOT. Journal of Geophysical Research Oceans. 130(9).
2.
Siegelman, Lia, et al.. (2024). Surface Quasi Geostrophic Reconstruction of Vertical Velocities and Vertical Heat Fluxes in the Southern Ocean: Perspectives for SWOT. Journal of Geophysical Research Oceans. 129(9). 5 indexed citations
3.
Fu, Lee‐Lueng, Tamlin M. Pavelsky, Jean‐François Crétaux, et al.. (2024). The Surface Water and Ocean Topography Mission: A Breakthrough in Radar Remote Sensing of the Ocean and Land Surface Water. Geophysical Research Letters. 51(4). 136 indexed citations breakdown →
4.
Morrow, Rosemary, et al.. (2023). Global submesoscale diagnosis using along-track satellite altimetry. Ocean science. 19(2). 363–379. 7 indexed citations
5.
Morrow, Rosemary, et al.. (2023). Ocean 2D eddy energy fluxes from small mesoscale processes with SWOT. Ocean science. 19(5). 1413–1435. 5 indexed citations
6.
Ballarotta, Maxime, Clément Ubelmann, Pierre Prandi, et al.. (2023). Improved global sea surface height and current maps from remote sensing and in situ observations. Earth system science data. 15(1). 295–315. 17 indexed citations
7.
Koch‐Larrouy, Ariane, et al.. (2022). Internal tides off the Amazon shelf during two contrasted seasons: interactions with background circulation and SSH imprints. Ocean science. 18(6). 1591–1618. 17 indexed citations
8.
Pegliasco, Cori, Antoine Delepoulle, Evan Mason, et al.. (2022). META3.1exp: a new global mesoscale eddy trajectory atlas derived from altimetry. Earth system science data. 14(3). 1087–1107. 94 indexed citations
9.
Morrow, Rosemary, et al.. (2021). Publisher Correction: Southern Ocean in-situ temperature trends over 25 years emerge from interannual variability. Nature Communications. 12(1). 1840–1840. 1 indexed citations
10.
Pegliasco, Cori, Antoine Delepoulle, Rosemary Morrow, Yannice Faugère, & Gérald Dibarboure. (2021). META3.1exp : A new Global Mesoscale Eddy Trajectories Atlas derived from altimetry. 6 indexed citations
11.
Morrow, Rosemary, et al.. (2021). Southern Ocean in-situ temperature trends over 25 years emerge from interannual variability. Nature Communications. 12(1). 514–514. 70 indexed citations
12.
Sterckx, Sindy, Ian A. Brown, Andreas Kääb, et al.. (2020). Towards a European Cal/Val service for earth observation. International Journal of Remote Sensing. 41(12). 4496–4511. 10 indexed citations
13.
Sérazin, Guillaume, et al.. (2020). Scale-dependent analysis of in situ observations in the mesoscale to submesoscale range around New Caledonia. Ocean science. 16(4). 907–925. 5 indexed citations
14.
Herrmann, Marine, et al.. (2019). Contributions of Wind, Ocean Intrinsic Variability, and ENSO to the Interannual Variability of the South Vietnam Upwelling: A Modeling Study. Journal of Geophysical Research Oceans. 124(9). 6545–6574. 21 indexed citations
15.
Gourdeau, Lionel, et al.. (2018). Spectral signatures of the tropical Pacific dynamics from model and altimetry: a focus on the meso-/submesoscale range. Ocean science. 14(5). 1283–1301. 25 indexed citations
16.
Morrow, Rosemary, Florence Birol, Fernando Niño, et al.. (2017). Observability of fine-scale ocean dynamics in the northwestern Mediterranean Sea. Ocean science. 13(1). 13–29. 24 indexed citations
17.
Dufau, Claire, et al.. (2016). Mesoscale resolution capability of altimetry: Present and future. Journal of Geophysical Research Oceans. 121(7). 4910–4927. 133 indexed citations
18.
Morrow, Rosemary, Lee‐Lueng Fu, & Ernesto Rodríguez. (2013). SWOT: A high-resolution wide-swath altimetry mission for oceanography and hydrology. EGUGA.
19.
Morrow, Rosemary & Pierre‐Yves Le Traon. (2011). Recent advances in observing mesoscale ocean dynamics with satellite altimetry. Advances in Space Research. 50(8). 1062–1076. 125 indexed citations
20.
Birol, Florence, L. Roblou, Florent Lyard, et al.. (2006). Towards Using Satellite Altimetry for the Observation of Coastal Dynamics. ESASP. 614. 23. 10 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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