Richard A Allard

1.2k total citations
56 papers, 620 citations indexed

About

Richard A Allard is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Richard A Allard has authored 56 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atmospheric Science, 24 papers in Oceanography and 14 papers in Global and Planetary Change. Recurrent topics in Richard A Allard's work include Arctic and Antarctic ice dynamics (22 papers), Oceanographic and Atmospheric Processes (19 papers) and Cryospheric studies and observations (16 papers). Richard A Allard is often cited by papers focused on Arctic and Antarctic ice dynamics (22 papers), Oceanographic and Atmospheric Processes (19 papers) and Cryospheric studies and observations (16 papers). Richard A Allard collaborates with scholars based in United States, Canada and Denmark. Richard A Allard's co-authors include James D. Dykes, Pamela G. Posey, David Hébert, Bruno Tremblay, Travis A. Smith, T. Campbell, Justin Small, Alan J. Wallcraft, Michael W Phelps and R. Newton and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Monthly Weather Review.

In The Last Decade

Richard A Allard

53 papers receiving 595 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 A Allard United States 15 491 271 203 69 36 56 620
Brodie Pearson United States 11 279 0.6× 305 1.1× 218 1.1× 24 0.3× 14 0.4× 19 470
Judith R. Wells United States 9 156 0.3× 284 1.0× 108 0.5× 82 1.2× 25 0.7× 14 406
Paul B Goddard United States 6 376 0.8× 455 1.7× 455 2.2× 66 1.0× 12 0.3× 28 647
Harald Schyberg Norway 12 702 1.4× 139 0.5× 413 2.0× 31 0.4× 28 0.8× 28 783
William J. McKiver Italy 13 127 0.3× 224 0.8× 99 0.5× 36 0.5× 21 0.6× 22 331
R. F. Marsden Canada 15 491 1.0× 369 1.4× 273 1.3× 41 0.6× 68 1.9× 34 641
Stephen R. Baig United States 6 442 0.9× 325 1.2× 285 1.4× 49 0.7× 5 0.1× 11 551
Daniel Gombos United States 6 477 1.0× 680 2.5× 532 2.6× 37 0.5× 14 0.4× 11 899
Zoé Koenig Norway 14 488 1.0× 334 1.2× 170 0.8× 28 0.4× 143 4.0× 36 599
O. Henry France 7 143 0.3× 330 1.2× 170 0.8× 32 0.5× 35 1.0× 10 413

Countries citing papers authored by Richard A Allard

Since Specialization
Citations

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

Fields of papers citing papers by Richard A Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard A Allard

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A Allard. A scholar is included among the top collaborators of Richard A Allard 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 A Allard. Richard A Allard 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.
Lemieux, Jean‐François, William H. Lipscomb, Anthony P Craig, et al.. (2024). CICE on a C-grid: new momentum, stress, and transport schemes for CICEv6.5. Geoscientific model development. 17(17). 6703–6724.
2.
Sandven, Stein, Gunnar Spreen, Georg Heygster, et al.. (2023). Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets. Surveys in Geophysics. 44(5). 1653–1689. 29 indexed citations
3.
Panteleev, Gleb, et al.. (2020). Parameter optimization in sea ice models with elastic–viscoplastic rheology. ˜The œcryosphere. 14(12). 4427–4451. 5 indexed citations
4.
Rogers, W. Erick, Pamela G. Posey, Li Li, & Richard A Allard. (2018). Forecasting and Hindcasting Waves In and Near the Marginal Ice Zone: Wave Modeling and the ONR Sea State Field Experiment. 9 indexed citations
5.
Allard, Richard A, S. L. Farrell, David Hébert, et al.. (2018). Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system. Advances in Space Research. 62(6). 1265–1280. 37 indexed citations
6.
Tremblay, Bruno, et al.. (2016). Dynamic preconditioning of the September sea-ice extent minimum. EGUGA. 3 indexed citations
7.
Li, Li, P.W. Gaiser, Richard A Allard, et al.. (2016). Physically-based Ice Thickness and Surface Roughness Retrievals over Rough Deformed Sea Ice. EGUGA. 1 indexed citations
8.
Metzger, E. Joseph, Alan J. Wallcraft, David Hébert, et al.. (2015). Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems. ˜The œcryosphere. 9(4). 1735–1745. 42 indexed citations
10.
Hébert, David, Richard A Allard, E. Joseph Metzger, et al.. (2015). Short‐term sea ice forecasting: An assessment of ice concentration and ice drift forecasts using theU.S.Navy'sArcticCapNowcast/ForecastSystem. Journal of Geophysical Research Oceans. 120(12). 8327–8345. 50 indexed citations
11.
Allard, Richard A, W. Erick Rogers, Paul J. Martin, et al.. (2014). The US Navy Coupled Ocean-Wave Prediction System. Oceanography. 27(3). 92–103. 34 indexed citations
12.
Allard, Richard A, et al.. (2013). Development of an eddy-resolving reanalysis using the 1/12° global HYbrid Coordinate Ocean Model and the Navy Coupled Ocean Data Assimilation Scheme. EGU General Assembly Conference Abstracts. 1 indexed citations
13.
Allard, Richard A, Ruth H. Preller, David Hébert, et al.. (2012). The Arctic Cap Nowcast Forecast System. EGU General Assembly Conference Abstracts. 2160. 2 indexed citations
14.
Smith, Travis A., et al.. (2010). User's Guide for the Coupled Ocean/Atmospheric Mesoscale Prediction System (COAMPS) Version 5.0. 2 indexed citations
15.
Piacsek, Steve, Richard A Allard, & Julie L. McClean. (2008). Water mass census in the Nordic seas using climatological and observational data sets. 31(2). 215–240. 1 indexed citations
16.
Posey, Pamela G., et al.. (2008). Validation of the Global Relocatable Tide/Surge Model PCTides. Journal of Atmospheric and Oceanic Technology. 25(5). 755–775. 9 indexed citations
17.
Hsu, Y. L., James D. Dykes, Richard A Allard, & James M. Kaihatu. (2006). Evaluation of Delft3D Performance in Nearshore Flows. Defense Technical Information Center (DTIC). 9 indexed citations
18.
Barron, Charlie N., Lucy F. Smedstad, Robert C. Rhodes, et al.. (2004). Validation of the 1/8° Global Navy Coastal Ocean Model Nowcast/Forecast System. 5 indexed citations
19.
Hsu, Yu‐Chia, et al.. (2002). Wave Model Validation for the Northern Gulf of Mexico Littoral Initiative (NGLI) Project. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Warn‐Varnas, A., Richard A Allard, & Steve Piacsek. (1991). Synoptic and seasonal variations of the ice-ocean circulation in the Arctic: a numerical study. Annals of Glaciology. 15. 54–62. 1 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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