Tamás Bódai
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Statistical and Nonlinear Physics top 5%
- Oceanography top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Tamás TélValerio LucariniGábor DrótosEui‐Seok ChungMalte F. StueckerAxel TimmermannMátyás HereinGyörgy Károlyi
- Topics
- Climate variability and models (19 papers)Complex Systems and Time Series Analysis (10 papers)Meteorological Phenomena and Simulations (10 papers)
- Partner nations
- United KingdomSouth KoreaGermany
In The Last Decade
Tamás Bódai
38 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Global and Planetary Change 716
- Atmospheric Science 506
- Statistical and Nonlinear Physics 214
- Oceanography 193
- Computer Networks and Communications 100
Countries citing papers authored by Tamás Bódai
This map shows the geographic impact of Tamás Bódai'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 Tamás Bódai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Bódai more than expected).
Fields of papers citing papers by Tamás Bódai
This network shows the impact of papers produced by Tamás Bódai. 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 Tamás Bódai. The network helps show where Tamás Bódai may publish in the future.
Co-authorship network of co-authors of Tamás Bódai
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Bódai. A scholar is included among the top collaborators of Tamás Bódai 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 Tamás Bódai. Tamás Bódai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 56 | |
| 6 | Ubiquity of human-induced changes in climate variabilitybreakdown → | 271 |
| 7 | The Forced Response of the El Niño–Southern Oscillation–Indian Monsoon Teleconnection in Ensembles of Earth System Models | 10 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 44 | |
| 12 | 16 | |
| 13 | 23 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Linear response theory applied to geoengineering | 1 |
| 18 | 12 | |
| 19 | 22 | |
| 20 | 12 |
About Tamás Bódai
Tamás Bódai is a scholar working on Statistical and Nonlinear Physics, Global and Planetary Change and Atmospheric Science, having authored 38 papers that have together received 963 indexed citations. Recurring topics across this work include Climate variability and models (19 papers), Complex Systems and Time Series Analysis (10 papers) and Meteorological Phenomena and Simulations (10 papers). The work is most often cited by research in Global and Planetary Change (716 citations), Atmospheric Science (506 citations) and Statistical and Nonlinear Physics (214 citations). Tamás Bódai has collaborated with scholars based in United Kingdom, South Korea and Germany. Frequent co-authors include Tamás Tél, Valerio Lucarini, Gábor Drótos, Eui‐Seok Chung, Malte F. Stuecker, Axel Timmermann, Mátyás Herein, György Károlyi, Tímea Haszpra and Sun‐Seon Lee. Their work appears in journals such as Physical Review Letters, Journal of Climate and Geophysical Research Letters.
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.