Ágnes Havasi
- Numerical Analysis top 5%
- Environmental Engineering top 10%
- Computational Mechanics top 5%
- Atmospheric Science top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- István FaragóZahari ZlatevIstván LagziÁdám LeelőssyFerenc MolnárFerenc IzsákRóbert MészárosIvan Dimov
- Topics
- Numerical methods for differential equations (25 papers)Advanced Numerical Methods in Computational Mathematics (15 papers)Differential Equations and Numerical Methods (10 papers)
In The Last Decade
Ágnes Havasi
36 papers receiving 528 citations
Peers
Comparison fields: 5 of 86
- Numerical Analysis 176
- Environmental Engineering 151
- Computational Mechanics 150
- Atmospheric Science 129
- Health, Toxicology and Mutagenesis 104
Countries citing papers authored by Ágnes Havasi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | The convergence of explicit Runge-Kutta methods combined with Richardson Extrapolation | 1 |
| 13 | 10 | |
| 14 | 12 | |
| 15 | 28 | |
| 16 | 20 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 6 | |
| 20 | 6 |
About Ágnes Havasi
Ágnes Havasi is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 37 papers that have together received 553 indexed citations. Recurring topics across this 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). The work is most often cited by research in Numerical Analysis (176 citations), Environmental Engineering (151 citations) and Health, Toxicology and Mutagenesis (104 citations). Ágnes Havasi has collaborated with scholars based in Hungary, Denmark and Bulgaria. Frequent co-authors include István Faragó, Zahari Zlatev, István Lagzi, Ádám Leelőssy, Ferenc Molnár, Ferenc Izsák, Róbert Mészáros, Ivan Dimov, Krassimir Georgiev and Ferenc Horváth. Their work appears in journals such as Journal of Computational Physics, Atmospheric Environment and Journal of Autism and Developmental Disorders.
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.