Richard Wobus

1.2k total citations
21 papers, 956 citations indexed

About

Richard Wobus is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Richard Wobus has authored 21 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Richard Wobus's work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (15 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Richard Wobus is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Climate variability and models (15 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Richard Wobus collaborates with scholars based in United States, China and Hungary. Richard Wobus's co-authors include Yuejian Zhu, Zoltán Tóth, Mozheng Wei, Kenneth R. Mylne, David Richardson, Eugenia Kalnay, Dingchen Hou, Xiaqiong Zhou, Jiayi Peng and Yan Luo and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Climate Dynamics.

In The Last Decade

Richard Wobus

20 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Wobus United States 13 859 820 145 89 53 21 956
Mozheng Wei United States 9 831 1.0× 811 1.0× 189 1.3× 112 1.3× 72 1.4× 18 960
Marion Mittermaier United Kingdom 20 1.1k 1.3× 1.1k 1.3× 165 1.1× 86 1.0× 70 1.3× 50 1.3k
William M. Lapenta United States 12 602 0.7× 638 0.8× 101 0.7× 52 0.6× 99 1.9× 32 749
David P. Baumhefner United States 17 960 1.1× 957 1.2× 99 0.7× 182 2.0× 28 0.5× 40 1.1k
Anna Ghelli United Kingdom 9 489 0.6× 508 0.6× 81 0.6× 26 0.3× 82 1.5× 15 602
Dennis G. Deaven United States 7 743 0.9× 696 0.8× 126 0.9× 113 1.3× 48 0.9× 9 877
M. Steven Tracton United States 9 644 0.7× 627 0.8× 76 0.5× 99 1.1× 31 0.6× 16 712
L. Lefaivre Canada 4 630 0.7× 586 0.7× 158 1.1× 53 0.6× 48 0.9× 4 686
Randy Bullock United States 12 1.2k 1.4× 1.1k 1.4× 120 0.8× 68 0.8× 45 0.8× 17 1.3k
C. Thompson New Zealand 11 293 0.3× 416 0.5× 55 0.4× 52 0.6× 73 1.4× 21 543

Countries citing papers authored by Richard Wobus

Since Specialization
Citations

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

Fields of papers citing papers by Richard Wobus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Wobus

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Wobus. A scholar is included among the top collaborators of Richard Wobus 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 Richard Wobus. Richard Wobus 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.
Zhu, Yuejian, Xiaqiong Zhou, Wei Li, et al.. (2018). Toward the Improvement of Subseasonal Prediction in the National Centers for Environmental Prediction Global Ensemble Forecast System. Journal of Geophysical Research Atmospheres. 123(13). 6732–6745. 35 indexed citations
2.
Li, Wei, Yuejian Zhu, Xiaqiong Zhou, et al.. (2018). Evaluating the MJO prediction skill from different configurations of NCEP GEFS extended forecast. Climate Dynamics. 52(7-8). 4923–4936. 15 indexed citations
3.
Guan, Hong, Yuejian Zhu, Eric Sinsky, et al.. (2018). Systematic Error Analysis and Calibration of 2-m Temperature for the NCEP GEFS Reforecast of the Subseasonal Experiment (SubX) Project. Weather and Forecasting. 34(2). 361–376. 10 indexed citations
4.
Zhou, Xiaqiong, Yuejian Zhu, Dingchen Hou, et al.. (2017). Performance of the New NCEP Global Ensemble Forecast System in a Parallel Experiment. Weather and Forecasting. 32(5). 1989–2004. 139 indexed citations
5.
Zhu, Yuejian, et al.. (2016). The effects of land surface process perturbations in a global ensemble forecast system. Advances in Atmospheric Sciences. 33(10). 1199–1208. 7 indexed citations
6.
Zhu, Yuejian, et al.. (2012). An effective configuration of ensemble size and horizontal resolution for the NCEP GEFS. Advances in Atmospheric Sciences. 29(4). 782–794. 29 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.
Wei, Mozheng, Zoltán Tóth, Richard Wobus, & Yuejian Zhu. (2008). Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system. Tellus A Dynamic Meteorology and Oceanography. 13 indexed citations
9.
Wei, Mozheng, Zoltán Tóth, Richard Wobus, & Yuejian Zhu. (2007). Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system. Tellus A Dynamic Meteorology and Oceanography. 60(1). 62–62. 233 indexed citations
10.
Wei, Mozheng, Zoltán Tóth, Richard Wobus, et al.. (2006). Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP. Tellus A Dynamic Meteorology and Oceanography. 2 indexed citations
11.
Liu, Qingfu, Stephen J. Lord, Yuejian Zhu, et al.. (2006). Hurricane Relocation in Global Ensemble Forecast System. 23 indexed citations
12.
Wei, Mozheng, Zoltán Tóth, Richard Wobus, et al.. (2005). Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP. Tellus A Dynamic Meteorology and Oceanography. 58(1). 28–44. 73 indexed citations
13.
Tóth, Zoltán, Yutao Zhu, & Richard Wobus. (2002). An Evaluation of Ensemble Based Forecast Probability Distributions. EGSGA. 6441.
14.
Zhu, Yuejian, Zoltán Tóth, Richard Wobus, David Richardson, & Kenneth R. Mylne. (2002). The Economic Value Of Ensemble-Based Weather Forecasts. Bulletin of the American Meteorological Society. 83(1). 73–83. 194 indexed citations
15.
Tóth, Zoltán, et al.. (1997). A Synoptic Evaluation of the NCEP Ensemble. Weather and Forecasting. 12(1). 140–153. 76 indexed citations
16.
Wobus, Richard & Eugenia Kalnay. (1995). Three Years of Operational Prediction of Forecast Skill at NMC. Monthly Weather Review. 123(7). 2132–2148. 28 indexed citations
17.
Houghton, David D., Ralph A. Petersen, & Richard Wobus. (1993). Spatial Resolution Impacts on National Meteorological Center Nested Grid Model Simulations. Monthly Weather Review. 121(5). 1450–1466. 5 indexed citations
18.
Petersen, Ralph A., Geoffrey J. DiMego, James E. Hoke, et al.. (1991). Changes to NMC's Regional Analysis and Forecast System. Weather and Forecasting. 6(1). 133–141. 32 indexed citations
19.
Thiébaux, H. Jean, et al.. (1990). Global Forecast Error Correlation. Part 1: Isobaric Wind and Geopotential. Monthly Weather Review. 118(10). 2117–2137. 11 indexed citations
20.
Carr, Frederick H., Richard Wobus, & Ralph A. Petersen. (1989). A Synoptic Evaluation of Normal Mode Initialization Experiments with the NMC Nested Grid Model. Monthly Weather Review. 117(12). 2753–2771. 3 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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