Istvan Szunyogh

5.9k total citations · 2 hit papers
75 papers, 4.1k citations indexed

About

Istvan Szunyogh is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Istvan Szunyogh has authored 75 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atmospheric Science, 59 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in Istvan Szunyogh's work include Meteorological Phenomena and Simulations (63 papers), Climate variability and models (55 papers) and Atmospheric and Environmental Gas Dynamics (17 papers). Istvan Szunyogh is often cited by papers focused on Meteorological Phenomena and Simulations (63 papers), Climate variability and models (55 papers) and Atmospheric and Environmental Gas Dynamics (17 papers). Istvan Szunyogh collaborates with scholars based in United States, Hungary and Saudi Arabia. Istvan Szunyogh's co-authors include Brian R. Hunt, Eric J. Kostelich, Edward Ott, Eugenia Kalnay, D. J. Patil, James A. Yorke, Aleksey V. Zimin, M. Corazza, Zoltán Tóth and Sharanya J. Majumdar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Istvan Szunyogh

74 papers receiving 3.9k citations

Hit Papers

Efficient data assimilati... 2004 2026 2011 2018 2007 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Istvan Szunyogh United States 27 3.5k 3.1k 754 646 277 75 4.1k
Stephen E. Cohn United States 22 2.9k 0.8× 2.6k 0.8× 760 1.0× 734 1.1× 186 0.7× 52 3.6k
Takemasa Miyoshi Japan 40 4.6k 1.3× 4.3k 1.4× 713 0.9× 687 1.1× 209 0.8× 185 5.5k
Craig H. Bishop United States 40 5.4k 1.6× 4.9k 1.6× 1.3k 1.8× 986 1.5× 231 0.8× 128 6.1k
Andrew C. Lorenc United Kingdom 32 5.4k 1.5× 4.8k 1.5× 1.4k 1.8× 1.0k 1.6× 131 0.5× 63 6.2k
Zoltán Tóth United States 33 5.0k 1.4× 4.8k 1.5× 669 0.9× 832 1.3× 162 0.6× 128 5.6k
Philippe Courtier United Kingdom 28 5.2k 1.5× 4.5k 1.4× 1.4k 1.9× 1.0k 1.5× 128 0.5× 55 6.1k
Gilbert Brunet Canada 25 2.7k 0.8× 2.6k 0.8× 820 1.1× 375 0.6× 166 0.6× 57 3.5k
Martin Leutbecher United Kingdom 29 3.4k 1.0× 3.1k 1.0× 380 0.5× 379 0.6× 130 0.5× 64 4.0k
Herschel L. Mitchell Canada 22 4.6k 1.3× 4.2k 1.3× 867 1.1× 1.2k 1.9× 270 1.0× 37 5.5k
P. L. Houtekamer Canada 24 5.5k 1.6× 5.0k 1.6× 933 1.2× 1.4k 2.2× 324 1.2× 36 6.5k

Countries citing papers authored by Istvan Szunyogh

Since Specialization
Citations

This map shows the geographic impact of Istvan Szunyogh'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 Istvan Szunyogh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Istvan Szunyogh more than expected).

Fields of papers citing papers by Istvan Szunyogh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Istvan Szunyogh. 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 Istvan Szunyogh. The network helps show where Istvan Szunyogh may publish in the future.

Co-authorship network of co-authors of Istvan Szunyogh

This figure shows the co-authorship network connecting the top 25 collaborators of Istvan Szunyogh. A scholar is included among the top collaborators of Istvan Szunyogh 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 Istvan Szunyogh. Istvan Szunyogh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hunt, Brian R., et al.. (2025). Prediction Beyond the Medium Range With an Atmosphere‐Ocean Model That Combines Physics‐Based Modeling and Machine Learning. Journal of Advances in Modeling Earth Systems. 17(4).
2.
Szunyogh, Istvan, et al.. (2022). A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model. Journal of Advances in Modeling Earth Systems. 14(3). 42 indexed citations
3.
Szunyogh, Istvan, et al.. (2020). A Machine Learning‐Based Global Atmospheric Forecast Model. Geophysical Research Letters. 47(9). 94 indexed citations
4.
Jia, Yinglai, Ping Chang, Istvan Szunyogh, R. Saravanan, & Julio T. Bacmeister. (2019). A Modeling Strategy for the Investigation of the Effect of Mesoscale SST Variability on Atmospheric Dynamics. Geophysical Research Letters. 46(7). 3982–3989. 16 indexed citations
5.
Szunyogh, Istvan, et al.. (2018). A Technique for the Verification of Precipitation Forecasts and Its Application to a Problem of Predictability. Monthly Weather Review. 146(5). 1303–1318. 6 indexed citations
6.
Szunyogh, Istvan, et al.. (2016). An Assessment of the Performance of the Operational Global Ensemble Forecast Systems in Predicting the Forecast Uncertainty. Weather and Forecasting. 32(1). 149–164. 8 indexed citations
7.
Battalio, J. Michael, Istvan Szunyogh, & M. T. Lemmon. (2016). Energetics of the martian atmosphere using the Mars Analysis Correction Data Assimilation (MACDA) dataset. Icarus. 276. 1–20. 17 indexed citations
8.
Jun, Mikyoung, et al.. (2015). Multivariate localization methods for ensemble Kalman filtering. Nonlinear processes in geophysics. 22(6). 723–735. 5 indexed citations
9.
Yoon, Y., Brian R. Hunt, Edward Ott, & Istvan Szunyogh. (2012). Simultaneous global and limited-area ensemble data assimilation using joint states. Tellus A Dynamic Meteorology and Oceanography. 64(1). 18407–18407. 3 indexed citations
10.
Hoffman, Ross N., Rui M. Ponte, Eric J. Kostelich, et al.. (2008). A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in New York Harbor. Journal of Atmospheric and Oceanic Technology. 25(9). 1638–1656. 7 indexed citations
11.
Kuhl, David D., Istvan Szunyogh, Eric J. Kostelich, et al.. (2007). Assessing Predictability with a Local Ensemble Kalman Filter. Journal of the Atmospheric Sciences. 64(4). 1116–1140. 20 indexed citations
12.
Hunt, Brian R., et al.. (2006). Local ensemble Kalman filtering in the presence of model bias. Tellus A Dynamic Meteorology and Oceanography. 58(3). 293–293. 82 indexed citations
13.
Hunt, Brian R., et al.. (2006). Local ensemble Kalman filtering in the presence of model bias. Tellus A Dynamic Meteorology and Oceanography. 4 indexed citations
14.
Szunyogh, Istvan, Eric J. Kostelich, Gyorgyi Gyarmati, et al.. (2004). A local ensemble Kalman filter for the NCEP GFS model. 3001–3011. 1 indexed citations
15.
Hunt, Brian R., Eugenia Kalnay, Eric J. Kostelich, et al.. (2004). Four-dimensional ensemble Kalman filtering. Tellus A Dynamic Meteorology and Oceanography. 56(4). 273–273. 165 indexed citations
16.
Corazza, M., M. Corazza, Eugenia Kalnay, et al.. (2003). Use of the breeding technique to estimate the structure of the analysis "errors of the day". SHILAP Revista de lepidopterología. 58 indexed citations
17.
Ott, Edward, Brian R. Hunt, Istvan Szunyogh, et al.. (2002). Exploiting Local Low Dimensionality of the Atmospheric Dynamics for Efficient Ensemble Kalman Filtering. arXiv (Cornell University). 17 indexed citations
18.
Szunyogh, Istvan, Aleksey V. Zimin, D. J. Patil, et al.. (2002). On The Dynamical Basis of Targeting Weather Observations. EGSGA. 2034. 1 indexed citations
19.
Tóth, Zoltán, Istvan Szunyogh, Craig H. Bishop, et al.. (2002). ADAPTIVE OBSERVATIONS AT NCEP: PAST, PRESENT, AND FUTURE. EGS General Assembly Conference Abstracts. 6430. 16 indexed citations
20.
Tóth, Zoltán, Istvan Szunyogh, Eugenia Kalnay, & Gopal Iyengar. (1999). Comments on: ‘‘Notes on the appropriateness of ‘bred modes’ for generating initial perturbations’’. Tellus A Dynamic Meteorology and Oceanography. 51(3). 442–442. 9 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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