Pavel Sakov

3.4k total citations
41 papers, 2.2k citations indexed

About

Pavel Sakov is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Pavel Sakov has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 22 papers in Oceanography. Recurrent topics in Pavel Sakov's work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (25 papers) and Oceanographic and Atmospheric Processes (19 papers). Pavel Sakov is often cited by papers focused on Climate variability and models (29 papers), Meteorological Phenomena and Simulations (25 papers) and Oceanographic and Atmospheric Processes (19 papers). Pavel Sakov collaborates with scholars based in Australia, France and Norway. Pavel Sakov's co-authors include Peter R. Oke, Laurent Bertino, Marc Bocquet, François Counillon, Knut Arild Lisæter, Paul A. Sandery, Alexander Korablev, Dean S. Oliver, Geir Evensen and Stuart Corney and has published in prestigious journals such as Nature Communications, Journal of Climate and Monthly Weather Review.

In The Last Decade

Pavel Sakov

41 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Sakov Australia 22 1.5k 1.4k 995 271 244 41 2.2k
Gerrit Burgers Netherlands 18 1.9k 1.3× 2.0k 1.4× 937 0.9× 444 1.6× 215 0.9× 24 2.9k
Pierre Brasseur France 32 1.2k 0.8× 1.6k 1.1× 2.0k 2.0× 134 0.5× 98 0.4× 86 2.6k
Tamay M. Özgökmen United States 39 1.9k 1.3× 1.5k 1.0× 3.3k 3.3× 148 0.5× 370 1.5× 141 4.4k
Steven D. Meyers United States 20 929 0.6× 1.0k 0.7× 771 0.8× 134 0.5× 90 0.4× 55 2.1k
Patrick F. Cummins Canada 27 901 0.6× 955 0.7× 1.6k 1.6× 55 0.2× 183 0.8× 64 2.4k
Laure Zanna United States 27 1.6k 1.1× 1.9k 1.4× 1.7k 1.7× 151 0.6× 74 0.3× 89 2.8k
Annalisa Griffa Italy 34 1.3k 0.8× 1.2k 0.9× 2.3k 2.3× 85 0.3× 224 0.9× 89 3.0k
Rolf G. Lueck Canada 33 1.2k 0.8× 767 0.6× 2.2k 2.3× 85 0.3× 286 1.2× 72 2.9k
Sarah L. Dance United Kingdom 26 1.4k 1.0× 1.5k 1.1× 221 0.2× 400 1.5× 116 0.5× 82 2.1k
Franz J. Meyer United States 29 1.1k 0.7× 371 0.3× 311 0.3× 462 1.7× 301 1.2× 167 2.8k

Countries citing papers authored by Pavel Sakov

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Sakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Sakov

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Sakov. A scholar is included among the top collaborators of Pavel Sakov 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 Pavel Sakov. Pavel Sakov 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.
Brassington, Gary B., et al.. (2023). OceanMAPS v4.0i: a global eddy resolving EnKF ocean forecasting system. 1–8. 2 indexed citations
2.
Colberg, Frank, et al.. (2019). High and medium resolution ocean models for the Great Barrier Reef. Ocean Modelling. 145. 101507–101507. 10 indexed citations
3.
Sakov, Pavel & Marc Bocquet. (2018). Asynchronous data assimilation with the EnKF in presence of additive model error. Tellus A Dynamic Meteorology and Oceanography. 70(1). 1414545–1414545. 8 indexed citations
4.
Okane, T., Paul A. Sandery, Didier P. Monselesan, et al.. (2018). Coupled Data Assimilation and Ensemble Initialization with Application to Multiyear ENSO Prediction. Journal of Climate. 32(4). 997–1024. 30 indexed citations
5.
Xie, Jiping, Laurent Bertino, François Counillon, Knut Arild Lisæter, & Pavel Sakov. (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013. Ocean science. 13(1). 123–144. 76 indexed citations
6.
Sandery, Paul A. & Pavel Sakov. (2017). Ocean forecasting of mesoscale features can deteriorate by increasing model resolution towards the submesoscale. Nature Communications. 8(1). 1566–1566. 43 indexed citations
7.
Oke, Peter R., Pavel Sakov, Madeleine Cahill, et al.. (2013). Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3. Ocean Modelling. 67. 52–70. 124 indexed citations
8.
Sakov, Pavel, François Counillon, Laurent Bertino, et al.. (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean science. 8(4). 633–656. 294 indexed citations
9.
Counillon, François, et al.. (2010). Development of TOPAZ4 prototype. EGU General Assembly Conference Abstracts. 10486. 1 indexed citations
10.
Sakov, Pavel & Laurent Bertino. (2010). Dependence of the minimal ensemble size in the EnKF on the ensemble spread. EGU General Assembly Conference Abstracts. 8289. 1 indexed citations
11.
Herzfeld, Michael, et al.. (2010). Modelling the physical oceanography of the D'Entrecasteaux Channel and the Huon Estuary, south-eastern Tasmania. Marine and Freshwater Research. 61(5). 568–586. 28 indexed citations
12.
Sakov, Pavel, Geir Evensen, & Laurent Bertino. (2010). Asynchronous data assimilation with the EnKF. Tellus A Dynamic Meteorology and Oceanography. 6 indexed citations
13.
Counillon, François, Pavel Sakov, & Laurent Bertino. (2009). Application of a hybrid EnKF-OI to ocean forecasting. Ocean science. 5(4). 389–401. 20 indexed citations
14.
Oke, Peter R., Pavel Sakov, & Eric Schulz. (2009). A comparison of shelf observation platforms for assimilation in an eddy-resolving ocean model. Dynamics of Atmospheres and Oceans. 48(1-3). 121–142. 26 indexed citations
15.
Sakov, Pavel & Peter R. Oke. (2008). A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters. Tellus A Dynamic Meteorology and Oceanography. 60(2). 361–361. 223 indexed citations
16.
Sakov, Pavel & Peter R. Oke. (2008). Objective Array Design: Application to the Tropical Indian Ocean. Journal of Atmospheric and Oceanic Technology. 25(5). 794–807. 36 indexed citations
17.
Sakov, Pavel & Peter R. Oke. (2008). Implications of the Form of the Ensemble Transformation in the Ensemble Square Root Filters. Monthly Weather Review. 136(3). 1042–1053. 136 indexed citations
18.
Oke, Peter R. & Pavel Sakov. (2008). Representation Error of Oceanic Observations for Data Assimilation. Journal of Atmospheric and Oceanic Technology. 25(6). 1004–1017. 108 indexed citations
19.
Sakov, Pavel & John Parslow. (2003). Optimisation technique for calculating water transport in a box model (Gippsland Lakes, Victoria, Australia). Estuarine Coastal and Shelf Science. 59(3). 417–428. 6 indexed citations
20.
Sakov, Pavel, et al.. (1993). Sound scattering by a vortex filament. Acoustical Physics. 39(3). 280–282. 14 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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