A. J. McLaren

2.9k total citations
17 papers, 899 citations indexed

About

A. J. McLaren is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, A. J. McLaren has authored 17 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in A. J. McLaren's work include Climate variability and models (13 papers), Arctic and Antarctic ice dynamics (11 papers) and Oceanographic and Atmospheric Processes (9 papers). A. J. McLaren is often cited by papers focused on Climate variability and models (13 papers), Arctic and Antarctic ice dynamics (11 papers) and Oceanographic and Atmospheric Processes (9 papers). A. J. McLaren collaborates with scholars based in United Kingdom, United States and Netherlands. A. J. McLaren's co-authors include Ann Keen, Helene T. Hewitt, Elizabeth Hunke, Dan Copsey, I. D. Culverwell, Richard S. Hill, Chris Harris, Daniel J. Lea, K. Andrew Peterson and Jonah Roberts‐Jones and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Global Biogeochemical Cycles.

In The Last Decade

A. J. McLaren

16 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. J. McLaren United Kingdom 11 696 681 420 43 30 17 899
Dirk Olonscheck Germany 10 514 0.7× 519 0.8× 191 0.5× 29 0.7× 35 1.2× 16 676
Who M. Kim United States 13 632 0.9× 749 1.1× 463 1.1× 18 0.4× 28 0.9× 23 878
Hosmay Lopez United States 15 485 0.7× 591 0.9× 378 0.9× 32 0.7× 8 0.3× 39 692
M. R. Huddleston United Kingdom 9 456 0.7× 594 0.9× 508 1.2× 17 0.4× 16 0.5× 14 729
Mong‐Ming Lu Taiwan 17 648 0.9× 731 1.1× 398 0.9× 20 0.5× 11 0.4× 38 818
Tongtong Xu United States 9 496 0.7× 625 0.9× 408 1.0× 34 0.8× 9 0.3× 18 710
Heike Langenberg Germany 7 686 1.0× 687 1.0× 208 0.5× 25 0.6× 17 0.6× 24 860
Xiaoming Hu China 14 465 0.7× 500 0.7× 155 0.4× 21 0.5× 15 0.5× 46 625
Caroline Holmes United Kingdom 12 552 0.8× 468 0.7× 129 0.3× 84 2.0× 31 1.0× 18 698

Countries citing papers authored by A. J. McLaren

Since Specialization
Citations

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

Fields of papers citing papers by A. J. McLaren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. McLaren

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

All Works

17 of 17 papers shown
1.
Sime, Louise C., et al.. (2025). Moisture Source Controls on Water Isotopes in Antarctic Precipitation—Insights From Water Tracers in ECHAM6‐Wiso. Journal of Geophysical Research Atmospheres. 130(15).
2.
Sime, Louise C., A. J. McLaren, Thomas J. Bracegirdle, et al.. (2024). Evaporative controls on Antarctic precipitation: an ECHAM6 model study using innovative water tracer diagnostics. ˜The œcryosphere. 18(2). 683–703. 8 indexed citations
3.
Divall, Pip, et al.. (2022). NHS librarians collaborate to develop a search bank peer reviewing and sharing COVID‐19 searches: an evaluation. Health Information & Libraries Journal. 39(4). 336–346. 1 indexed citations
4.
Fiedler, Emma, A. J. McLaren, Viva F. Banzon, et al.. (2018). Intercomparison of long-term sea surface temperature analyses using the GHRSST Multi-Product Ensemble (GMPE) system. Remote Sensing of Environment. 222. 18–33. 46 indexed citations
5.
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
6.
West, Alex, A. J. McLaren, Helene T. Hewitt, & Martin Best. (2016). The location of the thermodynamic atmosphere–ice interface in fully coupled models – a case study using JULES and CICE. Geoscientific model development. 9(3). 1125–1141. 14 indexed citations
7.
Roberts‐Jones, Jonah, Keir Bovis, Matthew Martin, & A. J. McLaren. (2016). Estimating background error covariance parameters and assessing their impact in the OSTIA system. Remote Sensing of Environment. 176. 117–138. 13 indexed citations
8.
Blockley, Ed, Matthew Martin, A. J. McLaren, et al.. (2014). Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts. Geoscientific model development. 7(6). 2613–2638. 164 indexed citations
9.
Merchant, Christopher J., Owen Embury, Jonah Roberts‐Jones, et al.. (2014). Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. 1(2). 179–191. 134 indexed citations
10.
Peterson, K. Andrew, Alberto Arribas, Helene T. Hewitt, et al.. (2014). Assessing the forecast skill of Arctic sea ice extent in the GloSea4 seasonal prediction system. Climate Dynamics. 44(1-2). 147–162. 45 indexed citations
11.
Hewitt, Helene T., Dan Copsey, I. D. Culverwell, et al.. (2011). Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system. Geoscientific model development. 4(2). 223–253. 298 indexed citations
12.
Peterson, K. Andrew, et al.. (2011). Arctic ice extent forecasting using UKMO GLOSEA4 seasonal forecast system. Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions. 1 indexed citations
13.
Connolley, W. M., Ann Keen, & A. J. McLaren. (2006). Results from the implementation of the Elastic Viscous Plastic sea ice rheology in HadCM3. Ocean science. 2(2). 201–211. 3 indexed citations
14.
McLaren, A. J., Helene T. Banks, Jonathan M. Gregory, et al.. (2006). Evaluation of the sea ice simulation in a new coupled atmosphere‐ocean climate model (HadGEM1). Journal of Geophysical Research Atmospheres. 111(C12). 64 indexed citations
15.
Connolley, W. M., Jonathan M. Gregory, Elizabeth Hunke, & A. J. McLaren. (2004). On the Consistent Scaling of Terms in the Sea-Ice Dynamics Equation. Journal of Physical Oceanography. 34(7). 1776–1780. 33 indexed citations
16.
McLaren, A. J. & Richard G. Williams. (2001). Interannual Variability in the Thermodynamics of Subduction over the North Atlantic. Journal of Physical Oceanography. 31(11). 3284–3294. 5 indexed citations
17.
Williams, Richard G., A. J. McLaren, & Michael J. Follows. (2000). Estimating the convective supply of nitrate and implied variability in export production over the North Atlantic. Global Biogeochemical Cycles. 14(4). 1299–1313. 51 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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