Ágnes Havasi

963 total citations
37 papers, 553 citations indexed

About

Ágnes Havasi is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Ágnes Havasi has authored 37 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Numerical Analysis, 21 papers in Computational Mechanics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Ágnes Havasi's work include Numerical methods for differential equations (25 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Differential Equations and Numerical Methods (10 papers). Ágnes Havasi is often cited by papers focused on Numerical methods for differential equations (25 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Differential Equations and Numerical Methods (10 papers). Ágnes Havasi collaborates with scholars based in Hungary, Denmark and Bulgaria. Ágnes Havasi's co-authors include István Faragó, Zahari Zlatev, István Lagzi, Róbert Mészáros, Ferenc Molnár, Ferenc Izsák, Ádám Leelőssy, Ivan Dimov, Krassimir Georgiev and Zoltán Barcza and has published in prestigious journals such as Journal of Computational Physics, Atmospheric Environment and Journal of Autism and Developmental Disorders.

In The Last Decade

Ágnes Havasi

36 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ágnes Havasi Hungary 13 176 151 150 129 104 37 553
Oswald Knoth Germany 15 145 0.8× 124 0.8× 197 1.3× 339 2.6× 123 1.2× 35 610
Peter Percell United States 11 83 0.5× 48 0.3× 190 1.3× 126 1.0× 93 0.9× 21 452
E. Esposito Italy 12 100 0.6× 374 2.5× 34 0.2× 75 0.6× 266 2.6× 27 627
J.S. Pérez Guerrero Brazil 13 79 0.4× 315 2.1× 194 1.3× 34 0.3× 23 0.2× 26 659
Liang Pan China 17 25 0.1× 50 0.3× 448 3.0× 191 1.5× 129 1.2× 52 798
Peter Vos Belgium 9 18 0.1× 568 3.8× 174 1.2× 89 0.7× 520 5.0× 13 1.0k
William J. Coirier United States 14 23 0.1× 307 2.0× 511 3.4× 146 1.1× 67 0.6× 28 860
Van Thinh Nguyen South Korea 15 65 0.4× 85 0.6× 44 0.3× 76 0.6× 16 0.2× 64 636
A. Goulart Brazil 7 32 0.2× 189 1.3× 92 0.6× 166 1.3× 34 0.3× 17 342
Daniela Buske Brazil 9 107 0.6× 227 1.5× 60 0.4× 116 0.9× 54 0.5× 44 369

Countries citing papers authored by Ágnes Havasi

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Havasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Havasi

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Havasi. A scholar is included among the top collaborators of Ágnes Havasi 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 Ágnes Havasi. Ágnes Havasi 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.
Eapen, Valsamma, et al.. (2024). Quality of Life in Hungarian Parents of Autistic Individuals. Journal of Autism and Developmental Disorders. 55(3). 1122–1137. 2 indexed citations
2.
Faragó, István, et al.. (2023). ON THE CONSISTENCY AND CONVERGENCE OF CLASSICAL RICHARDSON EXTRAPOLATION AS APPLIED TO EXPLICIT ONE-STEP METHODS. Mathematical Modelling and Analysis. 28(1). 42–52.
3.
Zlatev, Zahari, Ivan Dimov, István Faragó, Krassimir Georgiev, & Ágnes Havasi. (2019). Explicit Runge–Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation. Computational Methods in Applied Mathematics. 20(4). 739–762. 5 indexed citations
4.
Zlatev, Zahari, Ivan Dimov, István Faragó, & Ágnes Havasi. (2017). Richardson Extrapolation: Practical Aspects and Applications. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations
5.
Zlatev, Zahari, Ivan Dimov, István Faragó, Krassimir Georgiev, & Ágnes Havasi. (2016). Stability of the Richardson Extrapolation combined with some implicit Runge–Kutta methods. Journal of Computational and Applied Mathematics. 310. 224–240. 6 indexed citations
6.
Lagzi, István, et al.. (2015). Solving Reaction‐Diffusion and Advection Problems with Richardson Extrapolation. Journal of Chemistry. 2015(1). 1 indexed citations
7.
Dobor, Laura, Zoltán Barcza, Tomáš Hlásny, et al.. (2015). Bridging the gap between climate models and impact studies: the FORESEE Database. Geoscience Data Journal. 2(1). 1–11. 38 indexed citations
8.
Faragó, István, Krassimir Georgiev, Ágnes Havasi, & Zahari Zlatev. (2014). Efficient algorithms for large scale scientific computations: Introduction. Computers & Mathematics with Applications. 67(12). 2085–2087. 5 indexed citations
9.
Zlatev, Zahari, Ivan Dimov, István Faragó, et al.. (2014). Application of Richardson extrapolation for multi-dimensional advection equations. Computers & Mathematics with Applications. 67(12). 2279–2293. 9 indexed citations
10.
Faragó, István, Krassimir Georgiev, Ágnes Havasi, & Zahari Zlatev. (2013). Efficient numerical methods for scientific applications: Introduction. Computers & Mathematics with Applications. 65(3). 297–300. 2 indexed citations
11.
Faragó, István, Ágnes Havasi, & Zahari Zlatev. (2012). The convergence of explicit Runge-Kutta methods combined with Richardson Extrapolation. Czech digital mathematics library. 1 indexed citations
12.
Faragó, István, Ágnes Havasi, & Zahari Zlatev. (2012). The convergence of diagonally implicit Runge–Kutta methods combined with Richardson extrapolation. Computers & Mathematics with Applications. 65(3). 395–401. 10 indexed citations
13.
Zlatev, Zahari, István Faragó, & Ágnes Havasi. (2011). Richardson Extrapolation combined with the sequential splitting procedure and the θ-method. Open Mathematics. 10(1). 159–172. 12 indexed citations
14.
Faragó, István, Ágnes Havasi, & Zahari Zlatev. (2010). Efficient implementation of stable Richardson Extrapolation algorithms. Computers & Mathematics with Applications. 60(8). 2309–2325. 28 indexed citations
15.
Zlatev, Zahari, István Faragó, & Ágnes Havasi. (2010). Stability of the Richardson Extrapolation applied together with the θ-method. Journal of Computational and Applied Mathematics. 235(2). 507–517. 20 indexed citations
16.
Faragó, István, et al.. (2008). Additive and iterative operator splitting methods and their numerical investigation. Computers & Mathematics with Applications. 55(10). 2266–2279. 11 indexed citations
17.
Faragó, István, Ágnes Havasi, & Zahari Zlatev. (2008). Richardson-extrapolated sequential splitting and its application. Journal of Computational and Applied Mathematics. 226(2). 218–227. 12 indexed citations
18.
Dimov, Ivan, István Faragó, Ágnes Havasi, & Zahari Zlatev. (2008). Different splitting techniques with application to air pollution models. International Journal of Environment and Pollution. 32(2). 174–174. 6 indexed citations
19.
Dimov, Ivan, et al.. (2007). Computational complexity of weighted splitting schemes on parallel computers. International Journal of Parallel Emergent and Distributed Systems. 22(3). 137–147. 3 indexed citations
20.
Faragó, István, et al.. (2004). Testing weighted splitting schemes on a one-column transport-chemistry model. International Journal of Environment and Pollution. 22(1/2). 3–3. 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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