Anna Trevisan

714 total citations
22 papers, 458 citations indexed

About

Anna Trevisan is a scholar working on Atmospheric Science, Global and Planetary Change and Statistical and Nonlinear Physics. According to data from OpenAlex, Anna Trevisan has authored 22 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Anna Trevisan's work include Climate variability and models (12 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (5 papers). Anna Trevisan is often cited by papers focused on Climate variability and models (12 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (5 papers). Anna Trevisan collaborates with scholars based in Italy, United States and Spain. Anna Trevisan's co-authors include Francesco Uboldi, Luigi Palatella, Alberto Carrassi, Massimo D’Isidoro, Olivier Talagrand, Chester W. Newton, Maurizio Fantini, Franco Molteni, Sandro Rambaldi and A. Buzzi and has published in prestigious journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Anna Trevisan

22 papers receiving 437 citations

Peers

Anna Trevisan

GPC

AS

SNP

OCEAN

EE

Alexander Gluhovsky United States

Gábor Drótos Hungary

S. J. Hovde United States

Xiping Zeng United States

Joachim Biercamp Germany

S. Panchev Bulgaria

Sam Hatfield United Kingdom

Mankin Mak United States

Kwang-Y. Kim United States

Gualtiero Badin Germany

Alexander Gluhovsky United States

Anna Trevisan

352 ×1.1

GPC

279 ×0.9

AS

101 ×1.0

SNP

7 ×0.1

OCEAN

34 ×0.5

EE

Citations per year, relative to Anna Trevisan Anna Trevisan (= 1×) peers Alexander Gluhovsky

Countries citing papers authored by Anna Trevisan

Since Specialization

Citations

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

Fields of papers citing papers by Anna Trevisan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Trevisan

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

All Works

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20 of 20 papers shown

1.

Palatella, Luigi & Anna Trevisan. (2015). Interaction of Lyapunov vectors in the formulation of the nonlinear extension of the Kalman filter. Physical Review E. 91(4). 42905–42905. 13 indexed citations

2.

Palatella, Luigi, Anna Trevisan, & Sandro Rambaldi. (2013). Nonlinear stability of traffic models and the use of Lyapunov vectors for estimating the traffic state. Physical Review E. 88(2). 22901–22901. 11 indexed citations

3.

Palatella, Luigi, Alberto Carrassi, & Anna Trevisan. (2013). Lyapunov vectors and assimilation in the unstable subspace: theory and applications. Journal of Physics A Mathematical and Theoretical. 46(25). 254020–254020. 31 indexed citations

4.

Trevisan, Anna & Luigi Palatella. (2011). CHAOS AND WEATHER FORECASTING: THE ROLE OF THE UNSTABLE SUBSPACE IN PREDICTABILITY AND STATE ESTIMATION PROBLEMS. International Journal of Bifurcation and Chaos. 21(12). 3389–3415. 31 indexed citations

5.

Trevisan, Anna, Massimo D’Isidoro, & Olivier Talagrand. (2010). Four‐dimensional variational assimilation in the unstable subspace and the optimal subspace dimension. Quarterly Journal of the Royal Meteorological Society. 136(647). 487–496. 49 indexed citations

6.

Carrassi, Alberto, Anna Trevisan, & Francesco Uboldi. (2007). Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system. Tellus A Dynamic Meteorology and Oceanography. 59(1). 101–101. 29 indexed citations

7.

Carrassi, Alberto, Anna Trevisan, & Francesco Uboldi. (2007). Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system. Tellus A Dynamic Meteorology and Oceanography. 3 indexed citations

8.

Trevisan, Anna & Francesco Uboldi. (2004). Assimilation of Standard and Targeted Observations within the Unstable Subspace of the Observation–Analysis–Forecast Cycle System. Journal of the Atmospheric Sciences. 61(1). 103–113. 54 indexed citations

9.

Trevisan, Anna, et al.. (2001). Ensemble prediction in a model with flow regimes. Quarterly Journal of the Royal Meteorological Society. 127(572). 343–358. 9 indexed citations

10.

Trevisan, Anna, et al.. (2001). Ensemble prediction in a model with flow regimes. Quarterly Journal of the Royal Meteorological Society. 127(572). 343–358. 3 indexed citations

11.

Trevisan, Anna, et al.. (1998). Periodic Orbits, Lyapunov Vectors, and Singular Vectors in the Lorenz System. Journal of the Atmospheric Sciences. 55(3). 390–398. 64 indexed citations

12.

Trevisan, Anna. (1995). Statistical Properties of Predictability from Atmospheric Analogs and the Existence of Multiple Flow Regimes. Journal of the Atmospheric Sciences. 52(20). 3577–3592. 12 indexed citations

13.

Trevisan, Anna. (1995). Transient error growth and local predictability: a study in the Lorenz system. Tellus A Dynamic Meteorology and Oceanography. 47(1). 103–117. 20 indexed citations

14.

Trevisan, Anna, et al.. (1995). Transient error growth and local predictability: a study in the Lorenz system. Tellus A Dynamic Meteorology and Oceanography. 47(1). 103–103. 39 indexed citations

15.

Trevisan, Anna. (1993). Impact of Transient Error Growth on Global Average Predictability Measures. Journal of the Atmospheric Sciences. 50(7). 1016–1028. 31 indexed citations

16.

Trevisan, Anna, P. Malguzzi, & Maurizio Fantini. (1992). On Lorenz's Law for the Growth of Large and Small Errors in the Atmosphere. Journal of the Atmospheric Sciences. 49(8). 713–719. 7 indexed citations

17.

Rambaldi, Sandro & Anna Trevisan. (1986). Restrictions and Alternative Formulation of the Quasi-Geostrophic Barotropic Channel Model. Journal of the Atmospheric Sciences. 43(1). 107–108. 1 indexed citations

18.

Newton, Chester W. & Anna Trevisan. (1984). Clinogenesis and Frontogenesis in Jet-Stream Waves. Part II: Channel Model Numerical Experiments. Journal of the Atmospheric Sciences. 41(18). 2735–2755. 10 indexed citations

19.

Fantini, Maurizio, et al.. (1983). Numerical Experiments on Orographic Cyclogenesis: Relationship Between the Development of the Lee Cyclone and the Basic Flow Characteristics. Monthly Weather Review. 111(4). 799–814. 12 indexed citations

20.

Buzzi, A., et al.. (1981). Internal Frontogenesis: A Two-Dimensional Model in Isentropic, Semi-Geostrophic Coordinates. Monthly Weather Review. 109(5). 1053–1060. 6 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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