Richard H. Grumm

1.0k total citations
30 papers, 815 citations indexed

About

Richard H. Grumm is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Richard H. Grumm has authored 30 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Richard H. Grumm's work include Climate variability and models (25 papers), Meteorological Phenomena and Simulations (24 papers) and Tropical and Extratropical Cyclones Research (14 papers). Richard H. Grumm is often cited by papers focused on Climate variability and models (25 papers), Meteorological Phenomena and Simulations (24 papers) and Tropical and Extratropical Cyclones Research (14 papers). Richard H. Grumm collaborates with scholars based in United States, China and Switzerland. Richard H. Grumm's co-authors include Robert E. Hart, John R. Gyakum, John R. Anderson, Norman W. Junker, Steven J. Greybush, Lance F. Bosart, James E. Hoke, J. H. Clark, C. Warner and Michael J. Brennan and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Natural Hazards.

In The Last Decade

Richard H. Grumm

29 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard H. Grumm United States	14	713	655	84	78	56	30	815
E. E. Houssos Greece	16	658 0.9×	637 1.0×	77 0.9×	53 0.7×	47 0.8×	18	772
D. Lü China	11	452 0.6×	565 0.9×	110 1.3×	85 1.1×	52 0.9×	19	675
Jinfang Yin China	16	823 1.2×	875 1.3×	91 1.1×	135 1.7×	44 0.8×	75	996
Sushant Das India	17	587 0.8×	535 0.8×	77 0.9×	46 0.6×	32 0.6×	44	671
Narendra Nelli United Arab Emirates	20	820 1.2×	784 1.2×	47 0.6×	153 2.0×	74 1.3×	53	957
Zuohao Cao Canada	13	374 0.5×	414 0.6×	76 0.9×	32 0.4×	60 1.1×	37	500
Chia‐Ying Tu Taiwan	15	553 0.8×	557 0.9×	57 0.7×	36 0.5×	181 3.2×	33	662
Gregor Skok Slovenia	13	369 0.5×	392 0.6×	27 0.3×	66 0.8×	53 0.9×	31	478
Yun‐Young Lee South Korea	11	491 0.7×	416 0.6×	36 0.4×	31 0.4×	72 1.3×	19	535
Simon Pellerin Canada	7	472 0.7×	538 0.8×	23 0.3×	90 1.2×	60 1.1×	8	593

Countries citing papers authored by Richard H. Grumm

Since Specialization

Citations

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

Fields of papers citing papers by Richard H. Grumm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard H. Grumm

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

All Works

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20 of 20 papers shown

Greybush, Steven J., et al.. (2017). Assessing the Ensemble Predictability of Precipitation Forecasts for the January 2015 and 2016 East Coast Winter Storms. Weather and Forecasting. 32(3). 1057–1078. 29 indexed citations

Grumm, Richard H., et al.. (2014). The epic eastern North American warm episode of March 2012. 2(4). 36–50. 7 indexed citations

Grumm, Richard H., et al.. (2014). Two major heavy rain/flood events in the mid-Atlantic: June 2006 and September 2011. 2(13). 152–168. 7 indexed citations

Stuart, Neil, et al.. (2013). Analyzing predictability and communicating uncertainty: Lessons from the post-Groundhog Day 2009 storm and the March 2009 “megastorm”. 1(16). 185–199. 2 indexed citations

Alcott, Trevor I., et al.. (2013). Anticipating a Rare Event Utilizing Forecast Anomalies and a Situational Awareness Display: The Western U.S. Storms of 18–23 January 2010. Bulletin of the American Meteorological Society. 94(12). 1827–1836. 7 indexed citations

Grumm, Richard H., et al.. (2009). Utilizing Normalized Anomalies to Assess Synoptic-Scale Weather Events in the Western United States. Weather and Forecasting. 25(2). 428–445. 19 indexed citations

Junker, Norman W., et al.. (2008). Use of Normalized Anomaly Fields to Anticipate Extreme Rainfall in the Mountains of Northern California. Weather and Forecasting. 23(3). 336–356. 60 indexed citations

Junker, Norman W., et al.. (2008). Assessing the Potential for Rare Precipitation Events with Standardized Anomalies and Ensemble Guidance at the Hydrometeorological Prediction Center. Bulletin of the American Meteorological Society. 90(4). 445–454. 19 indexed citations

Grumm, Richard H., et al.. (2006). Using Wind Anomalies to Forecast East Coast Winter Storms. Weather and Forecasting. 21(6). 952–968. 16 indexed citations

10.

Grumm, Richard H.. (2005). An Evaluation of Ensemble MOS Temperature Forecasts from the Medium Range Ensemble Forecast System.

11.

Grumm, Richard H.. (2005). Examining Severe Weather Events Using Reanalysis Datasets. 3 indexed citations

12.

Grumm, Richard H.. (2004). Thunderstorm types associated with the “Broken-S” Radar Signature. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 3 indexed citations

13.

Grumm, Richard H.. (1998). Adding or degrading model forecast : anatomy of a poorly forecast winter storm. 1 indexed citations

14.

Hart, Robert E., Gregory S. Forbes, & Richard H. Grumm. (1998). Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena. Weather and Forecasting. 13(4). 1165–1185. 9 indexed citations

15.

Grumm, Richard H., et al.. (1993). The Prediction of Rapidly Deepening Cyclones by NMC's Nested Grid Model: Winter 1989–Autumn 1991. Weather and Forecasting. 8(2). 248–270. 3 indexed citations

16.

Grumm, Richard H., et al.. (1992). Systematic Model Forecast Errors of Surface Cyclones in NMC's Nested-Grid Model, December 1988 through November 1990. Weather and Forecasting. 7(1). 65–87. 2 indexed citations

17.

Junker, Norman W., James E. Hoke, & Richard H. Grumm. (1989). Performance of NMC's Regional Models. Weather and Forecasting. 4(3). 368–390. 20 indexed citations

18.

Gyakum, John R., et al.. (1989). North Pacific Cold-Season Surface Cyclone Activity: 1975–1983. Monthly Weather Review. 117(6). 1141–1155. 89 indexed citations

19.

Grumm, Richard H., et al.. (1989). Systematic Surface Cyclone Errors in NMC's Nested Grid Model November 1988–January 1989. Weather and Forecasting. 4(2). 246–252. 4 indexed citations

20.

Grumm, Richard H. & John R. Gyakum. (1986). Systematic Surface Anticyclone Errors in NMC's Limited Area Fine Mesh and Spectral Models during the Winter of 1981/82. Monthly Weather Review. 114(12). 2329–2343. 5 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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