Csaba Zsolt Torma
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Water Science and Technology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Oceanography top 10%
- Co-authors
- Filippo GiorgiErika CoppolaSamuel SomotChristoph SchärNikolina BanFrancesca RaffaeleRita PongráczJudit Bartholy
- Topics
- Climate variability and models (25 papers)Meteorological Phenomena and Simulations (20 papers)Atmospheric and Environmental Gas Dynamics (6 papers)
In The Last Decade
Csaba Zsolt Torma
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Global and Planetary Change 988
- Atmospheric Science 873
- Water Science and Technology 122
- Ecology, Evolution, Behavior and Systematics 92
- Oceanography 62
Countries citing papers authored by Csaba Zsolt Torma
This map shows the geographic impact of Csaba Zsolt Torma'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 Csaba Zsolt Torma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Zsolt Torma more than expected).
Fields of papers citing papers by Csaba Zsolt Torma
This network shows the impact of papers produced by Csaba Zsolt Torma. 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 Csaba Zsolt Torma. The network helps show where Csaba Zsolt Torma may publish in the future.
Co-authorship network of co-authors of Csaba Zsolt Torma
This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Zsolt Torma. A scholar is included among the top collaborators of Csaba Zsolt Torma 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 Csaba Zsolt Torma. Csaba Zsolt Torma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 18 | |
| 14 | 20 | |
| 15 | 115 | |
| 16 | Added value of regional climate modeling over areas characterized by complex terrain | 6 |
| 17 | 12 | |
| 18 | 10 | |
| 19 | Analysis of RegCM simulations using A1B emission scenario: estimated mean and extreme climate trends in the Carpathian basin | 1 |
| 20 | 30 |
About Csaba Zsolt Torma
Csaba Zsolt Torma is a scholar working on Atmospheric Science, Global and Planetary Change and Ecological Modeling, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate variability and models (25 papers), Meteorological Phenomena and Simulations (20 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). The work is most often cited by research in Atmospheric Science (873 citations), Global and Planetary Change (988 citations) and Water Science and Technology (122 citations). Csaba Zsolt Torma has collaborated with scholars based in Hungary, Italy and France. Frequent co-authors include Filippo Giorgi, Erika Coppola, Samuel Somot, Christoph Schär, Nikolina Ban, Francesca Raffaele, Rita Pongrácz, Judit Bartholy, Graziano Giuliani and Marta Llopart. Their work appears in journals such as Scientific Reports, Nature Geoscience and Climatic Change.
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.