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.
Ensemble Forecasting at NMC: The Generation of Perturbations
1993950 citationsZoltán Tóth et al.Bulletin of the American Meteorological Societyprofile →
Ensemble Forecasting at NCEP and the Breeding Method
This map shows the geographic impact of Zoltán Tóth'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 Zoltán Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Tóth more than expected).
This network shows the impact of papers produced by Zoltán Tóth. 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 Zoltán Tóth. The network helps show where Zoltán Tóth may publish in the future.
Co-authorship network of co-authors of Zoltán Tóth
This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Tóth.
A scholar is included among the top collaborators of Zoltán Tóth 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 Zoltán Tóth. Zoltán Tóth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xie, Yunlong, et al.. (2011). Using the LAPS / WRF system to Analyze and Forecast Solar Radiation. AGU Fall Meeting Abstracts. 2011.1 indexed citations
7.
Zhu, Yutong, et al.. (2009). Status and Upgrade of NAEFS and NCEP Global Ensemble Forecast System. AGU Spring Meeting Abstracts. 2009.2 indexed citations
8.
Zhu, Yi, Zoltán Tóth, & G. Rutledge. (2008). TIGGE and NAEFS: Research and operational developments in multi-center ensemble forecasting. AGU Spring Meeting Abstracts. 2008.1 indexed citations
Tóth, Zoltán. (2005). The North American Ensemble Forecast System.1 indexed citations
12.
Zhou, Binbin, Jun Du, Jeff McQueen, et al.. (2004). An introduction to NCEP SREF aviation project. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms.7 indexed citations
13.
Du, Jun, Jeff McQueen, Geoff DiMego, et al.. (2004). 21.3 The NOAA/NWS/NCEP Short Range Ensemble Forecast (SREF) system: Evaluation of an initial condition vs multiple model physics ensemble approach. Bulletin of the American Meteorological Society. 2329–2338.23 indexed citations
14.
Nagy, Zoltán, et al.. (2002). Magyarországi éghajlat-energetikai tanulmányok. Corvinus Research Archive (Corvinus University of Budapest).1 indexed citations
15.
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
16.
Tóth, Zoltán, Yutao Zhu, & Richard Wobus. (2002). An Evaluation of Ensemble Based Forecast Probability Distributions. EGSGA. 6441.
17.
Tóth, Zoltán. (2001). The use of Targeted Observations in Operational numerical weather forecasting.3 indexed citations
18.
Tóth, Zoltán. (2000). On the Economic Value Of Ensemble Based Weather Forecasts.6 indexed citations
19.
Tóth, Zoltán. (2000). Targeted observations at NCEP: toward an operational implementation.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.