James While

1.5k total citations · 1 hit paper
20 papers, 896 citations indexed

About

James While is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, James While has authored 20 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oceanography, 12 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in James While's work include Oceanographic and Atmospheric Processes (15 papers), Climate variability and models (11 papers) and Meteorological Phenomena and Simulations (6 papers). James While is often cited by papers focused on Oceanographic and Atmospheric Processes (15 papers), Climate variability and models (11 papers) and Meteorological Phenomena and Simulations (6 papers). James While collaborates with scholars based in United Kingdom, Switzerland and Netherlands. James While's co-authors include Matthew Martin, Jennifer Waters, Jonah Roberts‐Jones, Daniel J. Lea, Simon Good, Chongyuan Mao, Adam Maycock, Mark Worsfold, Rebecca Reid and Emma Fiedler and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysics and Geophysical Journal International.

In The Last Decade

James While

20 papers receiving 878 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

2020 312 citations Simon Good, Emma Fiedler et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James While United Kingdom	12	690	502	410	91	47	20	896
Mounir Benkiran France	12	1.0k 1.5×	626 1.2×	567 1.4×	62 0.7×	18 0.4×	24	1.2k
Maxime Ballarotta France	12	701 1.0×	353 0.7×	329 0.8×	44 0.5×	21 0.4×	25	790
A. W. Ratsimandresy Spain	12	620 0.9×	389 0.8×	297 0.7×	77 0.8×	22 0.5×	27	776
A. L. Kurapov United States	19	651 0.9×	310 0.6×	407 1.0×	57 0.6×	27 0.6×	43	751
B. Tranchant France	12	492 0.7×	365 0.7×	280 0.7×	38 0.4×	18 0.4×	21	620
G. B. Crawford United States	13	630 0.9×	236 0.5×	414 1.0×	56 0.6×	34 0.7×	30	743
Florent Gasparin France	11	677 1.0×	484 1.0×	409 1.0×	80 0.9×	11 0.2×	15	867
Tsurane Kuragano Japan	14	479 0.7×	430 0.9×	373 0.9×	27 0.3×	72 1.5×	28	698
Eric Greiner France	11	695 1.0×	498 1.0×	405 1.0×	53 0.6×	9 0.2×	17	843
Riccardo Gerin Italy	16	696 1.0×	277 0.6×	264 0.6×	83 0.9×	13 0.3×	41	835

Countries citing papers authored by James While

Since Specialization

Citations

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

Fields of papers citing papers by James While

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James While

This figure shows the co-authorship network connecting the top 25 collaborators of James While. A scholar is included among the top collaborators of James While 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 James While. James While 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

Bell, Michael J., Ed Blockley, Daley Calvert, et al.. (2024). The Met Office Forecast Ocean Assimilation Model (FOAM) using a 1/12‐degree grid for global forecasts. Quarterly Journal of the Royal Meteorological Society. 150(763). 3827–3852. 9 indexed citations

Lea, Daniel J., James While, Matthew Martin, et al.. (2022). A new global ocean ensemble system at the Met Office: Assessing the impact of hybrid data assimilation and inflation settings. Quarterly Journal of the Royal Meteorological Society. 148(745). 1996–2030. 11 indexed citations

Good, Simon, Emma Fiedler, Chongyuan Mao, et al.. (2020). The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses. Remote Sensing. 12(4). 720–720. 312 indexed citations breakdown →

Francis, Xavier, et al.. (2019). Comparison of skill between high and medium resolution ocean models in the North Indian Ocean. EGU General Assembly Conference Abstracts. 5829. 1 indexed citations

While, James & Matthew Martin. (2019). Variational bias correction of satellite sea‐surface temperature data incorporating observations of the bias. Quarterly Journal of the Royal Meteorological Society. 145(723). 2733–2754. 11 indexed citations

King, Robert R., James While, Matthew Martin, et al.. (2018). Improving the initialisation of the Met Office operational shelf-seas model. Ocean Modelling. 130. 1–14. 28 indexed citations

Martin, Matthew, et al.. (2018). Assimilating satellite sea‐surface salinity data from SMOS, Aquarius and SMAP into a global ocean forecasting system. Quarterly Journal of the Royal Meteorological Society. 145(719). 705–726. 20 indexed citations

O’Dea, Enda, Rachel Furner, Sarah Wakelin, et al.. (2017). The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution. Geoscientific model development. 10(8). 2947–2969. 68 indexed citations

While, James, Chongyuan Mao, Matthew Martin, et al.. (2017). An operational analysis system for the global diurnal cycle of sea surface temperature: implementation and validation. Quarterly Journal of the Royal Meteorological Society. 143(705). 1787–1803. 19 indexed citations

10.

Waters, Jennifer, Daniel J. Lea, Matthew Martin, et al.. (2014). Implementing a variational data assimilation system in an operational 1/4 degree global ocean model. Quarterly Journal of the Royal Meteorological Society. 141(687). 333–349. 147 indexed citations

11.

While, James & Matthew Martin. (2013). Development of a variational data assimilation system for the diurnal cycle of sea surface temperature. Journal of Geophysical Research Oceans. 118(6). 2845–2862. 4 indexed citations

12.

Hyder, Patrick, James While, Alex Arnold, et al.. (2013). Evaluating a new NEMO-based Persian/Arabian Gulf tidal operational model. Journal of Operational Oceanography. 6(1). 3–16. 10 indexed citations

13.

O’Dea, Enda, Alex Arnold, K. P. Edwards, et al.. (2012). An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf. Journal of Operational Oceanography. 5(1). 3–17. 139 indexed citations

14.

While, James, I. J. Totterdell, & Matthew Martin. (2012). Assimilation of pCO₂ data into a global coupled physical‐biogeochemical ocean model. Journal of Geophysical Research Atmospheres. 117(C3). 19 indexed citations

15.

While, James & Keith Haines. (2010). A comparison of the variability of biological nutrients against depth and potential density. Biogeosciences. 7(4). 1263–1269. 12 indexed citations

16.

While, James, Keith Haines, & G. C. Moore Smith. (2010). A nutrient increment method for reducing bias in global biogeochemical models. Journal of Geophysical Research Atmospheres. 115(C10). 11 indexed citations

17.

Allen, J. Icarus, James Aiken, Thomas R. Anderson, et al.. (2010). Marine ecosystem models for earth systems applications: The MarQUEST experience. Journal of Marine Systems. 81(1-2). 19–33. 30 indexed citations

18.

While, James, E. K. Biegert, & Andrew Jackson. (2009). Generalized sampling interpolation of noisy gravity/gravity gradient data. Geophysical Journal International. 178(2). 638–650. 8 indexed citations

19.

While, James, E. K. Biegert, & Andrew Jackson. (2008). Interpolation of gravity and gravity gradient data by using the generalized sampling expansion: Theory. Geophysics. 73(2). I11–I21. 11 indexed citations

20.

While, James, Andrew Jackson, Dirk Smit, & E. K. Biegert. (2006). Spectral analysis of gravity gradiometry profiles. Geophysics. 71(1). J11–J22. 26 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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