Craig MacLachlan

5.9k total citations · 1 hit paper
39 papers, 2.4k citations indexed

About

Craig MacLachlan is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Craig MacLachlan has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 14 papers in Oceanography. Recurrent topics in Craig MacLachlan's work include Climate variability and models (36 papers), Meteorological Phenomena and Simulations (26 papers) and Tropical and Extratropical Cyclones Research (9 papers). Craig MacLachlan is often cited by papers focused on Climate variability and models (36 papers), Meteorological Phenomena and Simulations (26 papers) and Tropical and Extratropical Cyclones Research (9 papers). Craig MacLachlan collaborates with scholars based in United Kingdom, China and United States. Craig MacLachlan's co-authors include Adam A. Scaife, Alberto Arribas, Margaret Gordon, K. Andrew Peterson, Joanne Camp, Ruth Comer, Anna Maidens, Doug Smith, David Fereday and Andrew Williams and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Craig MacLachlan

38 papers receiving 2.4k 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.

Global Seasonal forecast system version 5 (GloSea5): a high‐resolution seasonal forecast system

2014 559 citations Craig MacLachlan, Alberto Arribas et al. Quarterly Journal of the Royal Meteorological Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig MacLachlan United Kingdom	25	2.2k	2.0k	757	129	82	39	2.4k
David Fereday United Kingdom	19	2.4k 1.1×	2.2k 1.1×	667 0.9×	116 0.9×	133 1.6×	28	2.7k
Rosie Eade United Kingdom	24	2.6k 1.2×	2.4k 1.2×	984 1.3×	75 0.6×	83 1.0×	40	2.8k
Shinji Kadokura Japan	9	1.4k 0.7×	1.5k 0.7×	419 0.6×	85 0.7×	108 1.3×	19	1.7k
Hai Lin Canada	35	3.7k 1.7×	3.6k 1.7×	1.4k 1.8×	141 1.1×	77 0.9×	143	4.0k
Wenjun Zhang China	29	2.7k 1.2×	2.3k 1.1×	1.4k 1.8×	61 0.5×	102 1.2×	110	3.0k
Steven J. Woolnough United Kingdom	36	3.5k 1.6×	3.1k 1.5×	1.6k 2.1×	87 0.7×	98 1.2×	89	3.7k
Holger Pohlmann Germany	26	2.5k 1.1×	2.2k 1.1×	1.2k 1.5×	73 0.6×	65 0.8×	60	2.7k
Fei Zheng China	26	1.8k 0.8×	1.6k 0.8×	1.0k 1.4×	73 0.6×	33 0.4×	103	2.1k
Mischa Croci‐Maspoli Switzerland	23	2.1k 1.0×	2.1k 1.0×	315 0.4×	66 0.5×	87 1.1×	32	2.4k
Gary M. Lackmann United States	30	2.3k 1.1×	2.6k 1.3×	566 0.7×	142 1.1×	50 0.6×	89	2.8k

Countries citing papers authored by Craig MacLachlan

Since Specialization

Citations

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

Fields of papers citing papers by Craig MacLachlan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig MacLachlan

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

Hudson, Debra, Oscar Alves, Harry H. Hendon, et al.. (2020). Corrigendum to : ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth System Science. 70(1). 393–393. 4 indexed citations

Scaife, Adam A., Joanne Camp, Ruth Comer, et al.. (2019). Does increased atmospheric resolution improve seasonal climate predictions?. Atmospheric Science Letters. 20(8). 72 indexed citations

Grist, Jeremy P., Bablu Sinha, Helene T. Hewitt, et al.. (2019). Re-emergence of North Atlantic subsurface ocean temperature anomalies in a seasonal forecast system. Climate Dynamics. 53(7-8). 4799–4820. 9 indexed citations

Förster, Kristian, Florian Hanzer, Adam A. Scaife, et al.. (2018). Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps). Hydrology and earth system sciences. 22(2). 1157–1173. 5 indexed citations

Luo, Jing‐Jia, et al.. (2018). Multimodel Prediction Skills of the Somali and Maritime Continent Cross-Equatorial Flows. Journal of Climate. 31(6). 2445–2464. 3 indexed citations

Dunstone, Nick, Doug Smith, Adam A. Scaife, et al.. (2018). Skilful Seasonal Predictions of Summer European Rainfall. Geophysical Research Letters. 45(7). 3246–3254. 50 indexed citations

Camp, Joanne, Matthew C. Wheeler, Harry H. Hendon, et al.. (2018). Skilful multiweek tropical cyclone prediction in ACCESS‐S1 and the role of the MJO. Quarterly Journal of the Royal Meteorological Society. 144(714). 1337–1351. 43 indexed citations

Scaife, Adam A., Ruth Comer, Nick Dunstone, et al.. (2017). Predictability of European winter 2015/2016. Atmospheric Science Letters. 18(2). 38–44. 40 indexed citations

Ardilouze, Constantin, Lauriane Batté, Felix Bunzel, et al.. (2017). Multi-model assessment of the impact of soil moisture initialization on mid-latitude summer predictability. Climate Dynamics. 49(11-12). 3959–3974. 38 indexed citations

10.

Coelho, Caio A. S., et al.. (2017). Exploring the feasibility of empirical, dynamical and combined probabilistic rainy season onset forecasts for São Paulo, Brazil. International Journal of Climatology. 37(S1). 398–411. 11 indexed citations

11.

Camp, Joanne, Malcolm Roberts, Craig MacLachlan, et al.. (2015). Seasonal forecasting of tropical storms using the Met Office GloSea5 seasonal forecast system. Quarterly Journal of the Royal Meteorological Society. 141(691). 2206–2219. 94 indexed citations

12.

Scaife, Adam A., Maria Athanassiadou, Martin B. Andrews, et al.. (2014). Predictability of the quasi‐biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales. Geophysical Research Letters. 41(5). 1752–1758. 129 indexed citations

13.

Knight, Jeff, Martin B. Andrews, Doug Smith, et al.. (2014). Predictions of Climate Several Years Ahead Using an Improved Decadal Prediction System. Journal of Climate. 27(20). 7550–7567. 22 indexed citations

14.

Kang, Daehyun, Myong‐In Lee, Jungho Im, et al.. (2014). Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems. Geophysical Research Letters. 41(10). 3577–3585. 59 indexed citations

15.

Athanasiadis, Panos, Alessio Bellucci, Leon Hermanson, et al.. (2014). The Representation of Atmospheric Blocking and the Associated Low-Frequency Variability in Two Seasonal Prediction Systems. Journal of Climate. 27(24). 9082–9100. 28 indexed citations

16.

Maidens, Anna, Adam A. Scaife, Alberto Arribas, et al.. (2013). GloSea5: The new Met office high resolution seasonal prediction system. EGUGA. 3 indexed citations

17.

MacLachlan, Craig, H. E. Potts, & D. A. Diver. (2013). Simulation of transient energy distributions in sub-ns streamer formation. Plasma Sources Science and Technology. 22(1). 15025–15025. 5 indexed citations

18.

Eade, Rosie, Richard Graham, Adam A. Scaife, et al.. (2011). Forecasting the number of extreme daily temperature events on seasonal timescales. AGU Fall Meeting Abstracts. 2011. 1801.

19.

Arribas, Alberto, et al.. (2010). Towards a new generation of seasonal forecasting systems. Complutensian Scientific Journals (Complutense University of Madrid). 21(21). 219–224. 1 indexed citations

20.

MacLachlan, Craig, D. A. Diver, & H. E. Potts. (2009). The evolution of electron overdensities in magnetic fields. New Journal of Physics. 11(6). 63001–63001. 9 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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