Stephanie J. Johnson

1.3k total citations · 1 hit paper
16 papers, 787 citations indexed

About

Stephanie J. Johnson is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stephanie J. Johnson has authored 16 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Stephanie J. Johnson's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (15 papers) and Oceanographic and Atmospheric Processes (7 papers). Stephanie J. Johnson is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (15 papers) and Oceanographic and Atmospheric Processes (7 papers). Stephanie J. Johnson collaborates with scholars based in United Kingdom, Austria and Malaysia. Stephanie J. Johnson's co-authors include Antje Weisheimer, Tim Stockdale, Damien Decremer, Magdalena Balmaseda, Franco Molteni, Gianpaolo Balsamo, Linus Magnusson, Steffen Tietsche, Laura Ferranti and Kristian Mogensen and has published in prestigious journals such as Geophysical Research Letters, Quarterly Journal of the Royal Meteorological Society and Climate Dynamics.

In The Last Decade

Stephanie J. Johnson

15 papers receiving 778 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.

SEAS5: the new ECMWF seasonal forecast system

2019 448 citations Stephanie J. Johnson, Tim Stockdale et al. Geoscientific model development profile →

Peers

Countries citing papers authored by Stephanie J. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie J. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie J. Johnson. 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 Stephanie J. Johnson. The network helps show where Stephanie J. Johnson may publish in the future.

Co-authorship network of co-authors of Stephanie J. Johnson

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Understanding the Intermittency of the Wintertime North Atlantic Oscillation and East Atlantic Pattern Seasonal Forecast Skill in the Copernicus C3S Multi‐Model Ensemble 2024 ·Geophysical Research Letters ·Laura Baker, Len Shaffrey, Stephanie J. Johnson, Antje Weisheimer	4
2	The Relative Role of Indian and Pacific Tropical Heating as Seasonal Predictability Drivers for the North Atlantic Oscillation 2024 ·Journal of Geophysical Research Atmospheres ·Retish Senan, Magdalena Balmaseda, Franco Molteni, Tim Stockdale, Antje Weisheimer, Stephanie J. Johnson, Christopher D. Roberts	0
3	Assessment of seasonal forecasting errors of the ECMWF system in the eastern Indian Ocean 2023 ·Climate Dynamics ·Michael Mayer, Magdalena Balmaseda, Stephanie J. Johnson, Frédéric Vitart	4
4	The representation of winter Northern Hemisphere atmospheric blocking in ECMWF seasonal prediction systems 2021 ·Quarterly Journal of the Royal Meteorological Society ·Paolo Davini, Antje Weisheimer, Magdalena Balmaseda, Stephanie J. Johnson, Franco Molteni, Christopher D. Roberts, Retish Senan, Tim Stockdale	23
5	Forecast skill of the Indian monsoon and its onset in the ECMWF seasonal forecasting system 5 (SEAS5) 2021 ·Climate Dynamics ·Amulya Chevuturi, Andrew G. Turner, Stephanie J. Johnson, Antje Weisheimer, Jonathan K. P. Shonk, Tim Stockdale, Retish Senan	25
6	Dynamical mechanisms linking Indian monsoon precipitation and the circumglobal teleconnection 2021 ·Climate Dynamics ·(unknown), Steven J. Woolnough, Laura Baker, Stephanie J. Johnson, Antje Weisheimer, Christopher O’Reilly	25
7	SEAS5: the new ECMWF seasonal forecast system breakdown → 2019 ·Geoscientific model development ·Stephanie J. Johnson, Tim Stockdale, Laura Ferranti, Magdalena Balmaseda, Franco Molteni, Linus Magnusson, Steffen Tietsche, Damien Decremer, Antje Weisheimer, Gianpaolo Balsamo, Sarah Keeley, Kristian Mogensen, Hao Zuo, Beatriz M. Monge-Sanz	448
8	When and where do ECMWF seasonal forecast systems exhibit anomalously low signal‐to‐noise ratio? 2019 ·Quarterly Journal of the Royal Meteorological Society ·Andrew Charlton‐Perez, Jochen Bröcker, Tim Stockdale, Stephanie J. Johnson	5
9	Mean and extreme precipitation over European river basins better simulated in a 25 km AGCM 2018 ·Hydrology and earth system sciences ·R. Schiemann, Pier Luigi Vidale, Len Shaffrey, Stephanie J. Johnson, Malcolm Roberts, Marie‐Estelle Demory, Matthew Mizielinski, Jane Strachan	21
10	The northern hemisphere circumglobal teleconnection in a seasonal forecast model and its relationship to European summer forecast skill 2018 ·Climate Dynamics ·(unknown), Steven J. Woolnough, Laura Baker, Stephanie J. Johnson, Antje Weisheimer	39
11	How confident are predictability estimates of the winter North Atlantic Oscillation? 2018 ·Quarterly Journal of the Royal Meteorological Society ·Antje Weisheimer, Damien Decremer, David MacLeod, Christopher O’Reilly, Tim Stockdale, Stephanie J. Johnson, T. N. Palmer	42
12	The resolution sensitivity of the Asian summer monsoon and its inter-model comparison between MRI-AGCM and MetUM 2017 ·Climate Dynamics ·Tomomichi Ogata, Stephanie J. Johnson, R. Schiemann, Marie‐Estelle Demory, Ryo Mizuta, Kohei Yoshida, Osamu Arakawa	10
13	Maritime Continent seasonal climate biases in AMIP experiments of the CMIP5 multimodel ensemble 2017 ·Climate Dynamics ·(unknown), Andrew G. Turner, Stephanie J. Johnson, Christopher E. Holloway	21
14	Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model 2016 ·Climate Dynamics ·A. Jayakumar, Andrew G. Turner, Stephanie J. Johnson, E. N. Rajagopal, Saji Mohandas, Ashis K. Mitra	6
15	An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon interannual variability in the Met Office GloSea5-GC2 system 2016 ·Climate Dynamics ·Stephanie J. Johnson, Andrew G. Turner, Steven J. Woolnough, Gill Martin, Craig MacLachlan	40
16	The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM 2015 ·Climate Dynamics ·Stephanie J. Johnson, Richard C. Levine, Andrew G. Turner, Gill Martin, Steven J. Woolnough, R. Schiemann, Matthew Mizielinski, Malcolm Roberts, Pier Luigi Vidale, Marie‐Estelle Demory, Jane Strachan	74

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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