Graeme Kelly

11.0k total citations
51 papers, 3.0k citations indexed

About

Graeme Kelly is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Graeme Kelly has authored 51 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Graeme Kelly's work include Meteorological Phenomena and Simulations (42 papers), Climate variability and models (37 papers) and Atmospheric aerosols and clouds (13 papers). Graeme Kelly is often cited by papers focused on Meteorological Phenomena and Simulations (42 papers), Climate variability and models (37 papers) and Atmospheric aerosols and clouds (13 papers). Graeme Kelly collaborates with scholars based in United Kingdom, France and Australia. Graeme Kelly's co-authors include Jean‐Noël Thépaut, A. P. McNally, Erik Andersson, Frédéric Chevallier, Marco Matricardi, François Bouttier, J. R. Eyre, Péter Bauer, A. J. Simmons and Florence Rabier and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Climate.

In The Last Decade

Graeme Kelly

51 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graeme Kelly United Kingdom 31 2.8k 2.5k 409 272 150 51 3.0k
A. P. McNally United Kingdom 22 2.3k 0.8× 2.1k 0.8× 250 0.6× 210 0.8× 105 0.7× 32 2.4k
Niels Bormann United Kingdom 25 2.4k 0.9× 2.2k 0.9× 306 0.7× 218 0.8× 111 0.7× 63 2.6k
Alan Geer United Kingdom 27 2.5k 0.9× 2.1k 0.8× 185 0.5× 243 0.9× 93 0.6× 72 2.7k
Stephen English United Kingdom 23 1.7k 0.6× 1.2k 0.5× 271 0.7× 305 1.1× 87 0.6× 69 1.9k
Ulrich Löhnert Germany 35 2.7k 1.0× 2.4k 1.0× 118 0.3× 356 1.3× 97 0.6× 101 3.1k
Viju O. John Germany 26 2.1k 0.8× 2.0k 0.8× 263 0.6× 63 0.2× 147 1.0× 87 2.4k
J. B. Snider United States 25 2.3k 0.8× 2.2k 0.9× 195 0.5× 178 0.7× 97 0.6× 79 2.6k
B. Khattatov United States 22 1.5k 0.6× 1.3k 0.5× 153 0.4× 100 0.4× 356 2.4× 44 1.9k
Baijun Tian United States 28 2.1k 0.8× 2.1k 0.9× 421 1.0× 69 0.3× 146 1.0× 74 2.4k
Louis W. Uccellini United States 22 2.0k 0.7× 1.7k 0.7× 291 0.7× 166 0.6× 206 1.4× 74 2.2k

Countries citing papers authored by Graeme Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graeme Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Kelly. A scholar is included among the top collaborators of Graeme Kelly 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 Graeme Kelly. Graeme Kelly 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.
Gallagher, Ciara M, Catherine Murphy, Graeme Kelly, Fergal J. O’Brien, & Olga Piskareva. (2021). Three-dimensional <em>In Vitro</em> Biomimetic Model of Neuroblastoma using Collagen-based Scaffolds. Journal of Visualized Experiments. 8 indexed citations
2.
Macpherson, Bruce, Robert N. Tubbs, Gordon Inverarity, et al.. (2019). Hourly 4D‐Var in the Met Office UKV operational forecast model. Quarterly Journal of the Royal Meteorological Society. 146(728). 1281–1301. 33 indexed citations
3.
Dance, Sarah L., et al.. (2016). Diagnosing atmospheric motion vector observation errors for an operational high‐resolution data assimilation system. Quarterly Journal of the Royal Meteorological Society. 143(702). 333–341. 55 indexed citations
4.
Bell, William, Brett Candy, Nigel Atkinson, et al.. (2008). The Assimilation of SSMIS Radiances in Numerical Weather Prediction Models. IEEE Transactions on Geoscience and Remote Sensing. 46(4). 884–900. 86 indexed citations
5.
Kelly, Graeme, Jean‐Noël Thépaut, Roberto Buizza, & Carla Cardinali. (2007). The value of observations. I: Data denial experiments for the Atlantic and the Pacific. Quarterly Journal of the Royal Meteorological Society. 133(628). 1803–1815. 65 indexed citations
6.
Buizza, Roberto, Carla Cardinali, Graeme Kelly, & Jean‐Noël Thépaut. (2007). The value of observations. II: The value of observations located in singular‐vector‐based target areas. Quarterly Journal of the Royal Meteorological Society. 133(628). 1817–1832. 55 indexed citations
7.
Andersson, Erik, Elías Hólm, Péter Bauer, et al.. (2007). Analysis and forecast impact of the main humidity observing systems. Quarterly Journal of the Royal Meteorological Society. 133(627). 1473–1485. 83 indexed citations
8.
McNally, A. P., P. D. Watts, J. A. Smith, et al.. (2006). The assimilation of AIRS radiance data at ECMWF. Quarterly Journal of the Royal Meteorological Society. 132(616). 935–957. 204 indexed citations
9.
Bell, William, et al.. (2006). An Initial Evaluation of SSMIS Radiances for Radiance Assimilation Applications. 207–211. 2 indexed citations
10.
11.
Leutbecher, Martin, et al.. (2005). On the equivalence between Kalman smoothing and weak‐constraint four‐dimensional variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 131(613). 3235–3246. 84 indexed citations
12.
Prigent, Catherine, Frédéric Chevallier, Fatima Karbou, Péter Bauer, & Graeme Kelly. (2005). AMSU-A Land Surface Emissivity Estimation for Numerical Weather Prediction Assimilation Schemes. Journal of Applied Meteorology. 44(4). 416–426. 43 indexed citations
13.
Santer, Benjamin D., T. M. L. Wigley, A. J. Simmons, et al.. (2004). Identification of anthropogenic climate change using a second‐generation reanalysis. Journal of Geophysical Research Atmospheres. 109(D21). 100 indexed citations
14.
Bormann, Niels, Jean‐Noël Thépaut, & Graeme Kelly. (2003). Eclipse Anomalies in Atmospheric Motion Vectors Derived from Meteosat Imagery and Their Implications on Data Assimilation. Journal of Applied Meteorology. 42(7). 1035–1042. 3 indexed citations
15.
Kelly, Graeme, et al.. (2001). Impact of a New Cloud Motion Wind Product from Meteosat on NWP Analyses and Forecasts. Monthly Weather Review. 129(9). 2392–2403. 31 indexed citations
16.
Chevallier, Frédéric, et al.. (2001). Model Clouds over Oceans as Seen from Space: Comparison with HIRS/2 and MSU Radiances. Journal of Climate. 14(21). 4216–4229. 47 indexed citations
17.
Rizzi, R., Carmine Serio, Graeme Kelly, Valerio Tramutoli, & A. P. McNally. (1994). Cloud Clearing of Infrared Sounder Radiances. Journal of Applied Meteorology. 33(2). 179–194. 10 indexed citations
18.
Andersson, Erik, Jean Pailleux, Jean‐Noël Thépaut, et al.. (1994). Use of cloud‐cleared radiances in three/four‐dimensional variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 120(517). 627–653. 172 indexed citations
19.
Andersson, Erik, et al.. (1991). Global Observing System Experiments on Operational Statistical Retrievals of Satellite Sounding Data. Monthly Weather Review. 119(8). 1851–1865. 68 indexed citations
20.
Kelly, Graeme. (1964). Mr. Controversial : the story of Percy Wells Cerutty. 2 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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