Ándrás Horányi

30.4k total citations · 2 hit papers
27 papers, 956 citations indexed

About

Ándrás Horányi is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ándrás Horányi has authored 27 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Ándrás Horányi's work include Meteorological Phenomena and Simulations (20 papers), Climate variability and models (19 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Ándrás Horányi is often cited by papers focused on Meteorological Phenomena and Simulations (20 papers), Climate variability and models (19 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Ándrás Horányi collaborates with scholars based in United Kingdom, Hungary and United States. Ándrás Horányi's co-authors include A. J. Simmons, Cornel Soci, Carla Cardinali, Raluca Radu, Julien P. Nicolas, Paul Berrisford, Joaquı́n Muñoz-Sabater, Hans Hersbach, Dinand Schepers and Bill Bell and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Ándrás Horányi

27 papers receiving 935 citations

Hit Papers

The ERA5 global reanalysi... 2021 2026 2022 2024 2021 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ándrás Horányi United Kingdom 13 668 639 187 100 81 27 956
Graham Mills Australia 21 799 1.2× 1.0k 1.6× 150 0.8× 108 1.1× 80 1.0× 65 1.2k
Stuart Webster United Kingdom 21 1.3k 2.0× 1.1k 1.8× 194 1.0× 146 1.5× 76 0.9× 60 1.5k
David A. Rutan United States 18 1.6k 2.4× 1.9k 2.9× 151 0.8× 67 0.7× 98 1.2× 57 2.0k
Ying Han China 18 749 1.1× 787 1.2× 157 0.8× 28 0.3× 104 1.3× 40 1.0k
Panmao Zhai China 10 388 0.6× 630 1.0× 81 0.4× 36 0.4× 72 0.9× 21 764
James McGregor New Zealand 19 804 1.2× 762 1.2× 116 0.6× 27 0.3× 136 1.7× 34 1.1k
Ricardo Fonseca United Arab Emirates 22 803 1.2× 813 1.3× 73 0.4× 135 1.4× 145 1.8× 64 1.1k
Emily Gleeson Ireland 13 353 0.5× 348 0.5× 178 1.0× 36 0.4× 41 0.5× 43 639
Rossella Ferretti Italy 20 977 1.5× 822 1.3× 222 1.2× 97 1.0× 225 2.8× 74 1.3k

Countries citing papers authored by Ándrás Horányi

Since Specialization
Citations

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

Fields of papers citing papers by Ándrás Horányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ándrás Horányi

This figure shows the co-authorship network connecting the top 25 collaborators of Ándrás Horányi. A scholar is included among the top collaborators of Ándrás Horányi 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 Ándrás Horányi. Ándrás Horányi 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.
Soci, Cornel, Hans Hersbach, A. J. Simmons, et al.. (2024). The ERA5 global reanalysis from 1940 to 2022. Quarterly Journal of the Royal Meteorological Society. 150(764). 4014–4048. 78 indexed citations breakdown →
2.
Mannucci, A. J., C. O. Ao, B. A. Iijima, et al.. (2021). An Assessment of Reprocessed GPS/MET Observations Spanning 1995–1997. 1 indexed citations
3.
Bell, Bill, Hans Hersbach, A. J. Simmons, et al.. (2021). The ERA5 global reanalysis: Preliminary extension to 1950. Quarterly Journal of the Royal Meteorological Society. 147(741). 4186–4227. 387 indexed citations breakdown →
4.
Randriamampianina, Roger, et al.. (2021). Historical observation impact assessments for EUMETNET using the ALADIN/HU limited area model. 125(4). 555–570. 1 indexed citations
5.
Hersbach, Hans, Bill Bell, Paul Berrisford, et al.. (2020). The ERA5 Global Reanalysis: achieving a detailed record of the climate and weather for the past 70 years.. 23 indexed citations
6.
Bell, William, Hans Hersbach, Paul Berrisford, et al.. (2020). Satellite observations in support of the Copernicus Climate Change Service. 5–5. 8 indexed citations
7.
Healy, S. B., Inna Polichtchouk, & Ándrás Horányi. (2020). Monthly and zonally averaged zonal wind information in the equatorial stratosphere provided by GNSS radio occultation. Quarterly Journal of the Royal Meteorological Society. 146(732). 3612–3621. 12 indexed citations
8.
Nicolas, Julien P., Hans Hersbach, Bill Bell, et al.. (2019). The ERA5 Reanalysis: Toward 70 years of global high-resolution hourly data for weather and climate applications. 2019. 1 indexed citations
9.
Hersbach, Hans, Bill Bell, Paul Berrisford, et al.. (2019). The ERA5 Global Atmospheric Reanalysis at ECMWF as a comprehensive dataset for climate data homogenization, climate variability, trends and extremes.. EGU General Assembly Conference Abstracts. 10826. 15 indexed citations
10.
Ho, Shu‐peng, Richard A. Anthes, C. O. Ao, et al.. (2019). The COSMIC/FORMOSAT-3 Radio Occultation Mission after 12 Years: Accomplishments, Remaining Challenges, and Potential Impacts of COSMIC-2. Bulletin of the American Meteorological Society. 101(7). E1107–E1136. 113 indexed citations
11.
Horányi, Ándrás, Carla Cardinali, & Luca Centurioni. (2016). The global numerical weather prediction impact of mean‐sea‐level pressure observations from drifting buoys. Quarterly Journal of the Royal Meteorological Society. 143(703). 974–985. 12 indexed citations
12.
Megner, Linda, D. G. H. Tan, Heiner Körnich, et al.. (2014). Linearity aspects of the ensemble of data assimilations technique. Quarterly Journal of the Royal Meteorological Society. 141(687). 426–432. 3 indexed citations
13.
English, Stephen, Niels Bormann, Kirsti Salonen, et al.. (2013). Impact of satellite data. European Centre for Medium-Range Weather Forecasts. 15 indexed citations
14.
Baran, Sándor, et al.. (2013). Statistical post-processing of probabilistic wind speed forecasting in Hungary. Meteorologische Zeitschrift. 22(3). 273–282. 9 indexed citations
15.
Horányi, Ándrás, et al.. (2010). Validation of the dynamically adapted high-resolution wind forecasts for the wind power stations in Hungary. 2 indexed citations
16.
Bartholy, Judit, et al.. (2009). Regional climate models for the Carpathian Basin: validation and preliminary results for the future. EGU General Assembly Conference Abstracts. 12509. 1 indexed citations
17.
Horányi, Ándrás, et al.. (2008). Transient simulation of the REMO regional climate model and its evaluation over Hungary. 112. 203–231. 28 indexed citations
18.
Horányi, Ándrás, et al.. (2007). The ARPEGE/ALADIN limited area ensemble prediction system: the impact of global targeted singular vectors. Meteorologische Zeitschrift. 16(6). 653–663. 5 indexed citations
19.
Lovas, Róbert, Péter Kacsuk, István Lagzi, et al.. (2006). Air Pollution Forecast on the HUNGRID Infrastructure. SZTAKI Publication Repository (Hungarian Academy of Sciences). 121–128. 3 indexed citations
20.
Soci, Cornel, Claude Fischer, & Ándrás Horányi. (2006). Sensitivity of High-Resolution Forecasts Using the Adjoint Technique at the 10-km Scale. Monthly Weather Review. 134(3). 772–790. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026