Tamás Bódai

1.7k total citations · 1 hit paper
38 papers, 963 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 963 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), Complex Systems and Time Series Analysis (10 papers) and Meteorological Phenomena and Simulations (10 papers). Tamás Bódai is often cited by papers focused on Climate variability and models (19 papers), Complex Systems and Time Series Analysis (10 papers) and Meteorological Phenomena and Simulations (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, Mátyás Herein, György Károlyi, 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 952 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ubiquity of human-induced changes in climate variability

2021 271 citations Keith B. Rodgers, Sun‐Seon Lee et al. Earth System Dynamics profile →

Peers

Tamás Bódai

GPC

AS

SNP

OCEAN

CNC

Andrey Gritsun Russia

Avi Gozolchiani Israel

Josef Ludescher Germany

Aljoscha Rheinwalt Germany

Naiming Yuan China

Guglielmo Lacorata Italy

Geli Wang China

Nishant Malik United States

Francesco Ragone Italy

Rudolf O. Weber Switzerland

Andrey Gritsun Russia

Tamás Bódai

655 ×0.9

GPC

563 ×1.1

AS

142 ×0.7

SNP

153 ×0.8

OCEAN

24 ×0.2

CNC

Citations per year, relative to Tamás Bódai Tamás Bódai (= 1×) peers Andrey Gritsun

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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20 of 20 papers shown

1.

Bódai, Tamás, et al.. (2024). Inter-model robustness of the forced change of the ENSO-Indian Summer Monsoon Teleconnection. npj Climate and Atmospheric Science. 7(1). 5 indexed citations

2.

Bódai, Tamás, et al.. (2023). Decadal Indian Ocean Influence on the ENSO‐Indian Monsoon Teleconnection Mostly Apparent. Journal of Geophysical Research Atmospheres. 128(15). 3 indexed citations

3.

Bódai, Tamás, et al.. (2022). Sources of Nonergodicity for Teleconnections as Cross‐Correlations. Geophysical Research Letters. 49(8). 3 indexed citations

4.

Ha, Kyung‐Ja, et al.. (2022). Local meridional circulation changes contribute to a projected slowdown of the Indian Ocean Walker circulation. npj Climate and Atmospheric Science. 5(1). 11 indexed citations

5.

Rodgers, Keith B., Sun‐Seon Lee, Nan Rosenbloom, et al.. (2021). Ubiquity of human-induced changes in climate variability. 56 indexed citations

6.

Rodgers, Keith B., Sun‐Seon Lee, Nan Rosenbloom, et al.. (2021). Ubiquity of human-induced changes in climate variability. Earth System Dynamics. 12(4). 1393–1411. 271 indexed citations breakdown →

7.

Bódai, Tamás, Gábor Drótos, Mátyás Herein, Frank Lunkeit, & Valerio Lucarini. (2020). The Forced Response of the El Niño–Southern Oscillation–Indian Monsoon Teleconnection in Ensembles of Earth System Models. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 10 indexed citations

8.

Bódai, Tamás & Torben Schmith. (2020). Does the AO index have predictive power regarding extreme cold temperatures in Europe?. 1 indexed citations

9.

Bódai, Tamás. (2020). An Efficient Algorithm to Estimate the Potential Barrier Height from Noise-Induced Escape Time Data. Journal of Statistical Physics. 179(5-6). 1625–1636. 1 indexed citations

10.

Herein, Mátyás, Tímea Haszpra, & Tamás Bódai. (2020). A new perspective on studying ENSO teleconnections. 1 indexed citations

11.

Haszpra, Tímea, Mátyás Herein, & Tamás Bódai. (2020). Investigating ENSO and its teleconnections under climate change in an ensemble view – a new perspective. Earth System Dynamics. 11(1). 267–280. 44 indexed citations

12.

Bódai, Tamás, Valerio Lucarini, & Frank Lunkeit. (2020). Can we use linear response theory to assess geoengineering strategies?. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(2). 23124–23124. 16 indexed citations

13.

Lucarini, Valerio & Tamás Bódai. (2020). Global stability properties of the climate: Melancholia states, invariant measures, and phase transitions. Nonlinearity. 33(9). R59–R92. 23 indexed citations

14.

Tél, Tamás, Tamás Bódai, Gábor Drótos, et al.. (2019). The Theory of Parallel Climate Realizations. Journal of Statistical Physics. 179(5-6). 1496–1530. 36 indexed citations

15.

Haszpra, Tímea, Mátyás Herein, & Tamás Bódai. (2019). On the time evolution of ENSO and its teleconnections in an ensemble view – a new perspective. 2 indexed citations

16.

Bódai, Tamás, Valerio Lucarini, & Frank Lunkeit. (2018). Critical Assessment of Geoengineering Strategies using ResponseTheory. Biogeosciences (European Geosciences Union). 1 indexed citations

17.

Bódai, Tamás & Valerio Lucarini. (2017). Linear response theory applied to geoengineering. EGU General Assembly Conference Abstracts. 7252. 1 indexed citations

18.

Bódai, Tamás, et al.. (2017). Convergence of Extreme Value Statistics in a Two-Layer Quasi-Geostrophic Atmospheric Model. Complexity. 2017. 1–20. 12 indexed citations

19.

Drótos, Gábor, Tamás Bódai, & Tamás Tél. (2016). Quantifying nonergodicity in nonautonomous dissipative dynamical systems: An application to climate change. Physical review. E. 94(2). 22214–22214. 22 indexed citations

20.

Bódai, Tamás, György Károlyi, & Tamás Tél. (2013). Driving a conceptual model climate by different processes: Snapshot attractors and extreme events. Physical Review E. 87(2). 22822–22822. 12 indexed citations

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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