G. C. Moore Smith

5.9k total citations
106 papers, 2.6k citations indexed

About

G. C. Moore Smith is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, G. C. Moore Smith has authored 106 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atmospheric Science, 34 papers in Oceanography and 32 papers in Global and Planetary Change. Recurrent topics in G. C. Moore Smith's work include Climate variability and models (32 papers), Oceanographic and Atmospheric Processes (31 papers) and Arctic and Antarctic ice dynamics (27 papers). G. C. Moore Smith is often cited by papers focused on Climate variability and models (32 papers), Oceanographic and Atmospheric Processes (31 papers) and Arctic and Antarctic ice dynamics (27 papers). G. C. Moore Smith collaborates with scholars based in Canada, United States and France. G. C. Moore Smith's co-authors include Shana Smith, Erving Goffman, Frédéric Dupont, François Roy, Jean‐François Lemieux, Patrick A. Palmieri, Keith Haines, F. Saucier, Bert N. Uchino and John T. Cacioppo and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Geophysical Research Atmospheres and Journal of Applied Physics.

In The Last Decade

G. C. Moore Smith

94 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. C. Moore Smith Canada 31 1.1k 900 853 190 176 106 2.6k
John Woodward United Kingdom 33 1.8k 1.6× 165 0.2× 289 0.3× 173 0.9× 19 0.1× 119 3.3k
Stéphane Lambert France 33 1.3k 1.2× 294 0.3× 1.5k 1.7× 362 1.9× 8 0.0× 133 4.0k
Tomohiro Suzuki Japan 30 517 0.5× 385 0.4× 108 0.1× 231 1.2× 37 0.2× 166 4.4k
Qianfeng Wang China 33 541 0.5× 104 0.1× 1.9k 2.3× 75 0.4× 10 0.1× 141 3.4k
James Dean Brown United States 41 838 0.8× 52 0.1× 1.6k 1.9× 266 1.4× 8 0.0× 155 6.6k
Andrew Wright United States 31 175 0.2× 621 0.7× 374 0.4× 152 0.8× 17 0.1× 136 3.7k
Peter J. Phillips Australia 17 198 0.2× 280 0.3× 414 0.5× 174 0.9× 5 0.0× 117 1.6k
Anne Steinemann United States 34 293 0.3× 22 0.0× 921 1.1× 180 0.9× 54 0.3× 95 3.6k
Michael Grossberg United States 25 217 0.2× 61 0.1× 238 0.3× 329 1.7× 34 0.2× 94 3.4k
Mark Richardson United States 16 535 0.5× 137 0.2× 861 1.0× 803 4.2× 7 0.0× 51 2.2k

Countries citing papers authored by G. C. Moore Smith

Since Specialization
Citations

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

Fields of papers citing papers by G. C. Moore Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. C. Moore Smith. 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 G. C. Moore Smith. The network helps show where G. C. Moore Smith may publish in the future.

Co-authorship network of co-authors of G. C. Moore Smith

This figure shows the co-authorship network connecting the top 25 collaborators of G. C. Moore Smith. A scholar is included among the top collaborators of G. C. Moore Smith 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 G. C. Moore Smith. G. C. Moore Smith 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.
Smith, G. C. Moore, et al.. (2024). Impact of assimilation of absolute dynamic topography on Arctic Ocean circulation. Frontiers in Marine Science. 11. 2 indexed citations
2.
Tremblay, Bruno, et al.. (2024). Using Icepack to reproduce ice mass balance buoy observations in landfast ice: improvements from the mushy-layer thermodynamics. ˜The œcryosphere. 18(4). 1685–1708. 1 indexed citations
3.
Roy, François, et al.. (2024). A new high-resolution Coastal Ice-Ocean Prediction System for the East Coast of Canada. Ocean Dynamics. 74(10). 799–826.
4.
Smith, G. C. Moore, et al.. (2023). The Landscapes of Italian Food.
5.
Smith, G. C. Moore, Yimin Liu, Mounir Benkiran, et al.. (2021). The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis. Geoscientific model development. 14(3). 1445–1467. 23 indexed citations
6.
Smith, G. C. Moore, Yimin Liu, Mounir Benkiran, et al.. (2020). The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system. 3 indexed citations
7.
Pellerin, P., et al.. (2020). Semi-Lagrangian advection in the NEMO ocean model. 1 indexed citations
8.
Pellerin, P., et al.. (2020). Development of a semi-Lagrangian advection scheme for the NEMO ocean model (3.1). Geoscientific model development. 13(9). 4379–4398. 2 indexed citations
9.
Smith, G. C. Moore, et al.. (2019). Both-Ways science education: Place and context. 25. 90–105. 1 indexed citations
10.
Skachko, Sergey, Mark Buehner, Stéphane Laroche, et al.. (2019). Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1). Geoscientific model development. 12(12). 5097–5112. 14 indexed citations
11.
Pellerin, P., G. C. Moore Smith, Charles‐Emmanuel Testut, et al.. (2015). The CONCEPTS Global Ice-Ocean Prediction System: Establishing an Environmental Prediction Capability in Canada. EGU General Assembly Conference Abstracts. 7170. 1 indexed citations
12.
Buehner, Mark, Alain Caya, Jean‐François Lemieux, et al.. (2015). Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System. Quarterly Journal of the Royal Meteorological Society. 142(695). 1090–1099. 11 indexed citations
13.
Smith, Shana, et al.. (2015). The effects of realistic tactile haptic feedback on user surface texture perception. Journal of Vibroengineering. 17(2). 1004–1016. 4 indexed citations
14.
Dupont, Frédéric, Simon Higginson, Romain Bourdallé-Badié, et al.. (2015). A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic oceans. Geoscientific model development. 8(5). 1577–1594. 66 indexed citations
15.
Penduff, Thierry, Mélanie Juza, Laurent Brodeau, et al.. (2010). Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales. Ocean science. 6(1). 269–284. 108 indexed citations
16.
Smith, G. C. Moore, Keith Haines, Torsten Kanzow, & Stuart A. Cunningham. (2010). Impact of hydrographic data assimilation on the modelled Atlantic meridional overturning circulation. Ocean science. 6(3). 761–774. 22 indexed citations
17.
18.
Smith, G. C. Moore. (1997). Aging Families of Adults With Mental Retardation Patterns and Correlates of Service Use, Need, and Knowledge. American Journal on Mental Retardation. 102(1). 13–13. 32 indexed citations
19.
Cacioppo, John T., et al.. (1992). Relationship between facial expressiveness and sympathetic activation in emotion: A critical review, with emphasis on modeling underlying mechanisms and individual differences.. Journal of Personality and Social Psychology. 62(1). 110–128. 98 indexed citations
20.
Brubaker, Thomas A., et al.. (1980). Digital Imaging Research for Meteorological Applications.. Defense Technical Information Center (DTIC).

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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