László Szeidl
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Global and Planetary Change top 5%
- Climate variability and models
- Hydrology and Drought Analysis
Papers in
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- Advanced Queuing Theory Analysis 13
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- Tensor decomposition and applications 13
- Co-authors
- Peter Racsko (1 shared paper)Mikhail A. Semenov (1 shared paper)Carlo Ricotta (5 shared papers)Péter Várlaki (16 shared papers)Miklós Telek (14 shared papers)Péter Bárányi (4 shared papers)András Rövid (14 shared papers)János Izsák (2 shared papers)
In The Last Decade
László Szeidl
50 papers receiving 1.1k citations
László Szeidl's Hit Papers
Peers
Comparison fields: 5 of 115
- Computational Mathematics 124
- Global and Planetary Change 406
- Ecological Modeling 81
- Nature and Landscape Conservation 177
- Ecology, Evolution, Behavior and Systematics 205
Countries citing papers authored by László Szeidl
This map shows the geographic impact of László Szeidl'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 László Szeidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Szeidl more than expected).
Fields of papers citing papers by László Szeidl
This network shows the impact of papers produced by László Szeidl. 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 László Szeidl. The network helps show where László Szeidl may publish in the future.
Co-authors
The 25 scholars most cited alongside László Szeidl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A serial approach to local stochastic weather models Hit paper breakdown → | 1991 | 416 |
| 2 | 2006 | 142 | |
| 3 | 2009 | 107 | |
| 4 | 2009 | 59 | |
| 5 | 2006 | 53 | |
| 6 | 2012 | 49 | |
| 7 | 2007 | 40 | |
| 8 | 2012 | 36 | |
| 9 | 2006 | 31 | |
| 10 | 2002 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2000 | 26 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2011 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 2010 | 10 | |
| 18 | 2013 | 7 | |
| 19 | 2008 | 7 | |
| 20 | 1987 | 6 |
About László Szeidl
László Szeidl is a scholar working on Management Information Systems, Computational Mathematics, Mathematical Physics, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (13 papers), Tensor decomposition and applications (13 papers), Control Systems and Identification (6 papers), Stochastic processes and statistical mechanics (5 papers), Probability and Risk Models (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Image and Signal Denoising Methods (5 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Computational Mathematics (124 citations), Global and Planetary Change (406 citations), Ecological Modeling (81 citations), Nature and Landscape Conservation (177 citations) and Ecology, Evolution, Behavior and Systematics (205 citations). László Szeidl has collaborated with scholars based in Hungary, Italy and Russia. Frequent co-authors include Peter Racsko, Mikhail A. Semenov, Carlo Ricotta, Péter Várlaki, Miklós Telek, Péter Bárányi, András Rövid, János Izsák, János Mika and Yeung Yam. Their work appears in journals such as Theoretical Population Biology, Environmental and Ecological Statistics, Acta Polytechnica Hungarica, Applied Mathematical Modelling and Methods in Ecology and Evolution.
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.