Tamás Bódai

109 total papers · 1.7k total citations
38 papers, 950 citations indexed

About

Tamás Bódai is a scholar working on Global and Planetary Change, Atmospheric Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Tamás Bódai has authored 38 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Tamás Bódai's work include Climate variability and models (19 papers), Meteorological Phenomena and Simulations (10 papers) and Complex Systems and Time Series Analysis (10 papers). Tamás Bódai is often cited by papers focused on Climate variability and models (19 papers), Meteorological Phenomena and Simulations (10 papers) and Complex Systems and Time Series Analysis (10 papers). Tamás Bódai collaborates with scholars based in United Kingdom, South Korea and Germany. Tamás Bódai's co-authors include Tamás Tél, Valerio Lucarini, Gábor Drótos, Eui‐Seok Chung, Malte F. Stuecker, Axel Timmermann, György Károlyi, Mátyás Herein, Tímea Haszpra and Sun‐Seon Lee and has published in prestigious journals such as Physical Review Letters, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Tamás Bódai

38 papers receiving 939 citations

Hit Papers

Ubiquity of human-induced... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamás Bódai 707 502 214 190 100 38 950
Andrey Gritsun 643 0.9× 559 1.1× 141 0.7× 150 0.8× 24 0.2× 39 836
Shin’ichi Sato 368 0.5× 117 0.2× 209 1.0× 295 1.6× 112 1.1× 58 970
Philip Sura 647 0.9× 556 1.1× 99 0.5× 267 1.4× 16 0.2× 25 836
Avi Gozolchiani 668 0.9× 309 0.6× 360 1.7× 111 0.6× 64 0.6× 15 994
Josef Ludescher 609 0.9× 373 0.7× 175 0.8× 89 0.5× 28 0.3× 25 916
M. N. Lorenzo 405 0.6× 226 0.5× 131 0.6× 262 1.4× 135 1.4× 38 928
Richard L. Pfeffer 480 0.7× 562 1.1× 47 0.2× 347 1.8× 112 1.1× 48 978
Naiming Yuan 665 0.9× 434 0.9× 144 0.7× 101 0.5× 32 0.3× 68 1.1k
Albert Barcilon 482 0.7× 522 1.0× 27 0.1× 246 1.3× 45 0.5× 57 918
Yair Goldreich 544 0.8× 334 0.7× 192 0.9× 29 0.2× 70 0.7× 31 1.2k

Countries citing papers authored by Tamás Bódai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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