Craig MacLachlan

5.9k citations
39 papers · 2.4k indexed · 1 hit paper · h-index 25
Topics
Climate variability and models (36 papers)Meteorological Phenomena and Simulations (26 papers)Tropical and Extratropical Cyclones Research (9 papers)

In The Last Decade

Craig MacLachlan

38 papers receiving 2.4k citations

Hit Papers

Global Seasonal forecast system version 5 (GloSea5): a hi...20142026201820222014100200300400500

Peers

Craig MacLachlan
Comparison fields: 5 of 57
  • Global and Planetary Change 2.2k
  • Atmospheric Science 2.0k
  • Oceanography 757
  • Environmental Engineering 129
  • Water Science and Technology 82
Replace David Fereday with:
David Fereday United Kingdom
Nicholas P. Klingaman United Kingdom
Rosie Eade United Kingdom
Hemantkumar S. Chaudhari India
Juan Feng China
Holger Pohlmann Germany
Wenjun Zhang China
Ruth Comer United Kingdom
Fei Zheng China
Romain Roehrig France
Craig MacLachlan relative to David Fereday United Kingdom David Fereday's profile →
Citations per field
00.5×1.5×
David Fereday · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 4
2 72
3 9
4 5
5 3
6 50
7 43
8 40
9 38
10 11
11 94
12 129
13 22
14 59
15 28
16
GloSea5: The new Met office high resolution seasonal prediction system
3
17 5
18
Forecasting the number of extreme daily temperature events on seasonal timescales
0
19 1
20 9

About Craig MacLachlan

Craig MacLachlan is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Climate variability and models (36 papers), Meteorological Phenomena and Simulations (26 papers) and Tropical and Extratropical Cyclones Research (9 papers). The work is most often cited by research in Atmospheric Science (2.0k citations), Global and Planetary Change (2.2k citations) and Oceanography (757 citations). Craig MacLachlan has collaborated with scholars based in United Kingdom, China and United States. Frequent 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

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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