Gábor Radnóti

29.0k total citations
9 papers, 176 citations indexed

About

Gábor Radnóti is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Gábor Radnóti has authored 9 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 1 paper in Astronomy and Astrophysics. Recurrent topics in Gábor Radnóti's work include Meteorological Phenomena and Simulations (6 papers), Climate variability and models (5 papers) and Atmospheric Ozone and Climate (4 papers). Gábor Radnóti is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Climate variability and models (5 papers) and Atmospheric Ozone and Climate (4 papers). Gábor Radnóti collaborates with scholars based in United Kingdom, Netherlands and Germany. Gábor Radnóti's co-authors include Carla Cardinali, Péter Bauer, S. B. Healy, Martin Weißmann, Andreas Schäfler, Anna Agustí‐Panareda, Peter Dueben, Simon Lang, M. J. Rodwell and Nicolas Bousserez and has published in prestigious journals such as Monthly Weather Review, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Gábor Radnóti

9 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Radnóti United Kingdom 8 151 121 31 24 22 9 176
Bill Emery United States 2 153 1.0× 133 1.1× 19 0.6× 31 1.3× 9 0.4× 3 204
Christina Tavolato Austria 4 287 1.9× 261 2.2× 54 1.7× 32 1.3× 12 0.5× 4 306
J. Tarniewicz France 7 88 0.6× 99 0.8× 43 1.4× 46 1.9× 15 0.7× 14 155
Alexander Cress Germany 8 214 1.4× 220 1.8× 10 0.3× 17 0.7× 17 0.8× 17 248
Thomas Frame United Kingdom 10 309 2.0× 309 2.6× 24 0.8× 46 1.9× 14 0.6× 18 371
Paytsar Muradyan United States 10 216 1.4× 166 1.4× 53 1.7× 40 1.7× 37 1.7× 26 278
S. Zhou United States 6 206 1.4× 170 1.4× 33 1.1× 10 0.4× 14 0.6× 8 218
S. B. Thampi India 10 357 2.4× 311 2.6× 23 0.7× 14 0.6× 45 2.0× 18 401
S. A. Braun United States 6 237 1.6× 168 1.4× 15 0.5× 40 1.7× 20 0.9× 16 272
Nawo Eguchi Japan 10 245 1.6× 252 2.1× 26 0.8× 10 0.4× 8 0.4× 22 269

Countries citing papers authored by Gábor Radnóti

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Radnóti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Radnóti

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

All Works

9 of 9 papers shown
1.
Barré, Jérôme, Ilse Aben, Anna Agustí‐Panareda, et al.. (2021). Systematic detection of local CH 4 anomalies by combining satellite measurements with high-resolution forecasts. Atmospheric chemistry and physics. 21(6). 5117–5136. 22 indexed citations
2.
Safieddine, Sarah, M. George, Filipe Aires, et al.. (2020). Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI. Remote Sensing. 12(17). 2777–2777. 14 indexed citations
3.
Barré, Jérôme, Ilse Aben, Anna Agustí‐Panareda, et al.. (2020). Systematic detection of local CH 4 emissions anomalies combining satellite measurements and high-resolution forecasts. 3 indexed citations
4.
Weißmann, Martin, et al.. (2019). The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016. Monthly Weather Review. 148(2). 809–824. 15 indexed citations
5.
Yamaguchi, Munehiko, Simon Lang, Martin Leutbecher, et al.. (2015). Observation‐based evaluation of ensemble reliability. Quarterly Journal of the Royal Meteorological Society. 142(694). 506–514. 12 indexed citations
6.
Cardinali, Carla, Nedjeljka Žagar, Gábor Radnóti, & Roberto Buizza. (2014). Representing model error in ensemble data assimilation. Nonlinear processes in geophysics. 21(5). 971–985. 8 indexed citations
7.
Bauer, Péter, Gábor Radnóti, S. B. Healy, & Carla Cardinali. (2013). GNSS Radio Occultation Constellation Observing System Experiments. Monthly Weather Review. 142(2). 555–572. 58 indexed citations
8.
Lindskog, Magnus, et al.. (2009). A weak‐constraint four‐dimensional variational analysis system in the stratosphere. Quarterly Journal of the Royal Meteorological Society. 135(640). 695–706. 12 indexed citations
9.
Radnóti, Gábor. (1995). Comments on “A Spectral Limited-Area Formulation with Time-Dependent Boundary Conditions Applied to the Shallow-Water Equations”. Monthly Weather Review. 123(10). 3122–3123. 32 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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