Polly J. Smith

426 total citations
16 papers, 234 citations indexed

About

Polly J. Smith is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Polly J. Smith has authored 16 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Polly J. Smith's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (6 papers) and Oceanographic and Atmospheric Processes (6 papers). Polly J. Smith is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (6 papers) and Oceanographic and Atmospheric Processes (6 papers). Polly J. Smith collaborates with scholars based in United Kingdom, Germany and United States. Polly J. Smith's co-authors include Nancy Nichols, Amos S. Lawless, Sarah L. Dance, Alison Fowler, Elizabeth Cooper, David C. Mason, Javier García‐Pintado, Gillian Thornhill, M. J. Baines and Tania R. Scott and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Polly J. Smith

16 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Polly J. Smith United Kingdom 9 158 151 62 50 32 16 234
José C. Fernández‐Alvarez Spain 13 327 2.1× 285 1.9× 108 1.7× 35 0.7× 67 2.1× 52 422
Ruifeng Yuan China 9 98 0.6× 162 1.1× 22 0.4× 92 1.8× 18 0.6× 27 314
Ehouarn Simon France 9 197 1.2× 138 0.9× 193 3.1× 27 0.5× 57 1.8× 22 364
Gutemberg Borges França Brazil 10 90 0.6× 100 0.7× 51 0.8× 11 0.2× 65 2.0× 35 201
P. K. Thapliyal India 10 201 1.3× 265 1.8× 66 1.1× 20 0.4× 111 3.5× 59 359
A. Sairouni Spain 11 198 1.3× 241 1.6× 55 0.9× 16 0.3× 68 2.1× 19 386
Mutya Vonnisa Indonesia 13 222 1.4× 302 2.0× 45 0.7× 18 0.4× 83 2.6× 47 384
Robert H. Woodward United States 7 150 0.9× 124 0.8× 76 1.2× 26 0.5× 127 4.0× 14 307
Robert S. Ross United States 9 226 1.4× 192 1.3× 61 1.0× 15 0.3× 56 1.8× 27 304
Guangjun Xu China 10 176 1.1× 144 1.0× 363 5.9× 13 0.3× 41 1.3× 31 456

Countries citing papers authored by Polly J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Polly J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Polly J. 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 Polly J. Smith. The network helps show where Polly J. Smith may publish in the future.

Co-authorship network of co-authors of Polly J. Smith

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

All Works

16 of 16 papers shown
1.
Chen, Yumeng, Polly J. Smith, Alberto Carrassi, et al.. (2024). Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology. ˜The œcryosphere. 18(5). 2381–2406. 2 indexed citations
2.
Dance, Sarah L., et al.. (2020). Collection and extraction of water level information from a digital river camera image dataset. SHILAP Revista de lepidopterología. 33. 106338–106338. 7 indexed citations
3.
Smith, Polly J., Amos S. Lawless, & Nancy Nichols. (2020). The role of cross‐domain error correlations in strongly coupled 4D‐Var atmosphere–ocean data assimilation. Quarterly Journal of the Royal Meteorological Society. 146(730). 2450–2465. 6 indexed citations
4.
Cooper, Elizabeth, Sarah L. Dance, Javier García‐Pintado, Nancy Nichols, & Polly J. Smith. (2019). Observation operators for assimilation of satellite observations in fluvial inundation forecasting. Hydrology and earth system sciences. 23(6). 2541–2559. 20 indexed citations
5.
Cooper, Elizabeth, Sarah L. Dance, Javier García‐Pintado, Nancy Nichols, & Polly J. Smith. (2018). Observation impact, domain length and parameter estimation in data assimilation for flood forecasting. Environmental Modelling & Software. 104. 199–214. 22 indexed citations
6.
Smith, Polly J., Amos S. Lawless, & Nancy Nichols. (2017). Estimating Forecast Error Covariances for Strongly Coupled Atmosphere–Ocean 4D-Var Data Assimilation. Monthly Weather Review. 145(10). 4011–4035. 19 indexed citations
7.
Smith, Polly J., Amos S. Lawless, & Nancy Nichols. (2017). Treating Sample Covariances for Use in Strongly Coupled Atmosphere‐Ocean Data Assimilation. Geophysical Research Letters. 45(1). 445–454. 20 indexed citations
8.
Smith, Polly J., Ralph F. Milliff, Jérôme Fiechter, et al.. (2016). Weak constraint four-dimensional variational data assimilation in a model of the California Current System. SHILAP Revista de lepidopterología. 2(2). 171–192. 4 indexed citations
9.
Smith, Polly J., Alison Fowler, & Amos S. Lawless. (2015). Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere–ocean model. Tellus A Dynamic Meteorology and Oceanography. 67(1). 27025–27025. 35 indexed citations
10.
Smith, Polly J., Sarah L. Dance, & Nancy Nichols. (2014). A joint state and parameter estimation scheme for nonlinear dynamical systems. CentAUR (University of Reading). 2 indexed citations
11.
Smith, Polly J., Gillian Thornhill, Sarah L. Dance, et al.. (2012). Data assimilation for state and parameter estimation: application to morphodynamic modelling. Quarterly Journal of the Royal Meteorological Society. 139(671). 314–327. 43 indexed citations
12.
Smith, Polly J., Sarah L. Dance, & Nancy Nichols. (2011). A hybrid data assimilation scheme for model parameter estimation: Application to morphodynamic modelling. Computers & Fluids. 46(1). 436–441. 16 indexed citations
13.
Smith, Polly J., Sarah L. Dance, M. J. Baines, Nancy Nichols, & Tania R. Scott. (2009). Variational data assimilation for parameter estimation: application to a simple morphodynamic model. Ocean Dynamics. 59(5). 697–708. 24 indexed citations
14.
Smith, Polly J., Sarah L. Dance, & Nancy Nichols. (2009). Data assimilation for morphodynamic model parameter estimation: a hybrid approach. 2 indexed citations
15.
Scott, Tania R., Polly J. Smith, Sarah L. Dance, et al.. (2009). DATA ASSIMILATION FOR MORPHODYNAMIC PREDICTION AND PREDICTABILITY. CentAUR (University of Reading). 2386–2398. 2 indexed citations
16.
Merriam, Daniel F., et al.. (1961). Preliminary regional structural contour map on top of Arbuckle rocks (Cambrian-Ordovician) in Kansas. 10 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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