Frédéric Vitart

41.5k total citations · 4 hit papers
144 papers, 8.5k citations indexed

About

Frédéric Vitart is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Frédéric Vitart has authored 144 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Atmospheric Science, 137 papers in Global and Planetary Change and 43 papers in Oceanography. Recurrent topics in Frédéric Vitart's work include Climate variability and models (135 papers), Meteorological Phenomena and Simulations (115 papers) and Tropical and Extratropical Cyclones Research (51 papers). Frédéric Vitart is often cited by papers focused on Climate variability and models (135 papers), Meteorological Phenomena and Simulations (115 papers) and Tropical and Extratropical Cyclones Research (51 papers). Frédéric Vitart collaborates with scholars based in United Kingdom, United States and China. Frédéric Vitart's co-authors include Andrew W. Robertson, Tim Stockdale, Magdalena Balmaseda, Franco Molteni, Gianpaolo Balsamo, David L. T. Anderson, J. G. Anderson, Duane E. Waliser, Thomas Jung and Steven J. Woolnough and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Frédéric Vitart

140 papers receiving 8.3k citations

Hit Papers

ERA-20C: An Atmospheric Reanalysis of the Twenti... 2008 2026 2014 2020 2016 2008 2015 2018 250 500 750
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.

  1. ERA-20C: An Atmospheric Reanalysis of the Twentieth Century
    2016 839 citations Dick Dee, Frédéric Vitart et al. Journal of Climate profile →
  2. Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales
    2008 520 citations Frédéric Vitart, Gianpaolo Balsamo et al. Quarterly Journal of the Royal Meteorological Society profile →
  3. ERA-Interim/Land: a global land surface reanalysis data set
    2015 436 citations Gianpaolo Balsamo, Clément Albergel et al. profile →
  4. The sub-seasonal to seasonal prediction project (S2S) and the prediction of extreme events
    2018 263 citations Frédéric Vitart, Andrew W. Robertson npj Climate and Atmospheric Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Vitart United Kingdom 51 7.7k 7.5k 2.5k 480 407 144 8.5k
Doug Smith United Kingdom 45 7.3k 0.9× 6.7k 0.9× 3.0k 1.2× 251 0.5× 277 0.7× 140 8.5k
Kazutoshi Onogi Japan 12 5.5k 0.7× 5.2k 0.7× 1.8k 0.7× 245 0.5× 361 0.9× 15 6.3k
Hirotaka Kamahori Japan 16 5.6k 0.7× 5.4k 0.7× 1.9k 0.8× 239 0.5× 359 0.9× 26 6.5k
Hirokazu Endo Japan 20 5.8k 0.8× 5.4k 0.7× 1.7k 0.7× 232 0.5× 458 1.1× 45 6.6k
Kiyotoshi Takahashi Japan 10 5.4k 0.7× 5.1k 0.7× 1.8k 0.7× 226 0.5× 353 0.9× 14 6.2k
Magdalena Balmaseda United Kingdom 55 8.0k 1.0× 6.6k 0.9× 5.5k 2.2× 302 0.6× 239 0.6× 160 9.3k
Kyung‐Ja Ha South Korea 41 5.0k 0.6× 4.6k 0.6× 1.8k 0.7× 423 0.9× 204 0.5× 226 5.8k
Suranjana Saha United States 15 5.6k 0.7× 5.4k 0.7× 2.1k 0.8× 403 0.8× 386 0.9× 26 6.8k
Rucong Yu China 40 6.5k 0.8× 6.2k 0.8× 1.1k 0.5× 283 0.6× 466 1.1× 128 7.0k
J. J. Hnilo United States 11 5.9k 0.8× 5.4k 0.7× 1.9k 0.8× 241 0.5× 257 0.6× 16 6.6k

Countries citing papers authored by Frédéric Vitart

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Vitart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Vitart

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Vitart. A scholar is included among the top collaborators of Frédéric Vitart 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 Frédéric Vitart. Frédéric Vitart 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.
Balmaseda, Magdalena, Beena Balan Sarojini, Michael Mayer, et al.. (2024). Impact of the ocean in-situ observations on the ECMWF seasonal forecasting system. Frontiers in Marine Science. 11. 2 indexed citations
2.
Vitart, Frédéric & Magdalena Balmaseda. (2024). Sources of MJO teleconnection errors in the ECMWF extended‐range forecasts. Quarterly Journal of the Royal Meteorological Society. 150(761). 2028–2044. 2 indexed citations
3.
Grazzini, Federico, et al.. (2024). Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood. Natural hazards and earth system sciences. 24(9). 2995–3012. 7 indexed citations
4.
Yang, Jing, Tao Zhu, Frédéric Vitart, et al.. (2024). Synchronous Eurasian heat extremes tied to boreal summer combined extratropical intraseasonal waves. npj Climate and Atmospheric Science. 7(1). 6 indexed citations
5.
Grazzini, Federico, et al.. (2024). Improving forecasts of precipitation extremes over northern and central Italy using machine learning. Quarterly Journal of the Royal Meteorological Society. 150(762). 3167–3181. 2 indexed citations
6.
Sarojini, Beena Balan, Magdalena Balmaseda, Frédéric Vitart, et al.. (2024). Impact of ocean in-situ observations on ECMWF sub-seasonal forecasts. Frontiers in Marine Science. 11. 2 indexed citations
7.
Oertel, Annika, Julian Quinting, Linus Magnusson, et al.. (2023). Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave. Geophysical Research Letters. 50(3). 26 indexed citations
8.
Grams, Christian M., et al.. (2023). Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall. Quarterly Journal of the Royal Meteorological Society. 150(759). 776–795. 7 indexed citations
9.
Yang, Jing, Tao Zhu, & Frédéric Vitart. (2023). An extratropical window of opportunity for subseasonal prediction of East Asian summer surface air temperature. npj Climate and Atmospheric Science. 6(1). 11 indexed citations
10.
Zhang, Zhenhai, Michael J. DeFlorio, Luca Delle Monache, et al.. (2023). Multi‐Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western U.S.. Journal of Geophysical Research Atmospheres. 128(7). 2 indexed citations
11.
Wang, Xiaochun, Duane E. Waliser, Xianan Jiang, et al.. (2023). Evaluating western North Pacific tropical cyclone forecast in the subseasonal to seasonal prediction project database. Frontiers in Earth Science. 10. 2 indexed citations
12.
Mo, Ruping, Hai Lin, & Frédéric Vitart. (2022). An anomalous warm-season trans-Pacific atmospheric river linked to the 2021 western North America heatwave. Communications Earth & Environment. 3(1). 51 indexed citations
13.
Wulff, C. Ole, Frédéric Vitart, & Daniela I. V. Domeisen. (2022). Influence of trends on subseasonal temperature prediction skill. Quarterly Journal of the Royal Meteorological Society. 148(744). 1280–1299. 10 indexed citations
14.
González‐Alemán, Juan Jesús, Christian M. Grams, Blanca Ayarzagüena, et al.. (2021). Tropospheric Role in the Predictability of the Surface Impact of the 2018 Sudden Stratospheric Warming Event. Geophysical Research Letters. 49(1). 10 indexed citations
15.
Stockdale, Tim, Laura Ferranti, Franco Molteni, et al.. (2019). A study of teleconnections in state-of-the-art seasonal forecast systems. AGUFM. 2019. 1 indexed citations
16.
Vitart, Frédéric & Andrew W. Robertson. (2018). The sub-seasonal to seasonal prediction project (S2S) and the prediction of extreme events. npj Climate and Atmospheric Science. 1(1). 263 indexed citations breakdown →
17.
Balsamo, Gianpaolo, Clément Albergel, Anton Beljaars, et al.. (2013). ERA-Interim/Land: a global land water resources dataset. 50 indexed citations
18.
Vitart, Frédéric & Franco Molteni. (2010). Simulation of the Madden- Julian Oscillation and its teleconnections in the ECMWF forecast system. Quarterly Journal of the Royal Meteorological Society. 136(649). 842–855. 202 indexed citations
19.
Waliser, Duane E., Harry H. Hendon, D. Kim, et al.. (2008). MJO Simulation Diagnostics. Journal of Climate. 22(11). 3006–3030. 278 indexed citations
20.
Vitart, Frédéric. (1999). Tropical storm interannual and interdecadal variability in an ensemble of GCM integrations. PhDT. 2178. 4 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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