Neil Massey

2.2k total citations
24 papers, 976 citations indexed

About

Neil Massey is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Neil Massey has authored 24 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 3 papers in Computer Networks and Communications. Recurrent topics in Neil Massey's work include Climate variability and models (18 papers), Meteorological Phenomena and Simulations (14 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Neil Massey is often cited by papers focused on Climate variability and models (18 papers), Meteorological Phenomena and Simulations (14 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Neil Massey collaborates with scholars based in United Kingdom, United States and Australia. Neil Massey's co-authors include Myles Allen, Richard Jones, Friederike E. L. Otto, Geert Jan van Oldenborgh, Sarah Sparrow, T. Aina, Simon Wilson, David Wallom, Y. H. Yamazaki and James M. Murphy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Neil Massey

24 papers receiving 949 citations

Peers

Neil Massey

GPC

AS

WST

HTM

EEBS

Edoardo Vignotto Switzerland

Sylvia Knight United Kingdom

Doerte Jakob Australia

Rodney Martínez Ecuador

Do‐Woo Kim South Korea

Sandra Schuster Australia

Jamaludin Suhaila Malaysia

Peter B. Gibson New Zealand

Anca Brookshaw United Kingdom

Donald Murray United States

Edoardo Vignotto Switzerland

Neil Massey

845 ×1.1

GPC

470 ×0.8

AS

116 ×1.0

WST

76 ×0.7

HTM

147 ×2.2

EEBS

Citations per year, relative to Neil Massey Neil Massey (= 1×) peers Edoardo Vignotto

Countries citing papers authored by Neil Massey

Since Specialization

Citations

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

Fields of papers citing papers by Neil Massey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Massey

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

1.

Guillod, Benoît P., Richard Jones, Simon Dadson, et al.. (2018). A large set of potential past, present and future hydro-meteorological time series for the UK. Hydrology and earth system sciences. 22(1). 611–634. 59 indexed citations

2.

Schaller, Nathalie, Sarah Sparrow, Neil Massey, et al.. (2018). Ensemble of European regional climate simulations for the winter of 2013 and 2014 from HadAM3P-RM3P. Scientific Data. 5(1). 180057–180057. 4 indexed citations

3.

Massey, Neil. (2018). Semantic Storage of climate data on object stores. Zenodo (CERN European Organization for Nuclear Research). 15967. 1 indexed citations

4.

Sparrow, Sarah, Richard Millar, Kuniko Yamazaki, et al.. (2018). Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble. Journal of Climate. 31(12). 4639–4656. 4 indexed citations

5.

Guillod, Benoît P., Richard Jones, Andy Bowery, et al.. (2017). weather@home 2: validation of an improved global–regional climate modelling system. Geoscientific model development. 10(5). 1849–1872. 71 indexed citations

6.

Mitchell, Dann, Krishna AchutaRao, Myles Allen, et al.. (2016). Half a degree Additional warming, Projections, Prognosis and Impacts (HAPPI): Background and Experimental Design. 12 indexed citations

7.

Black, Mitchell, David J. Karoly, Suzanne M. Rosier, et al.. (2016). The weather@home regional climate modelling project for Australia and New Zealand. Geoscientific model development. 9(9). 3161–3176. 28 indexed citations

8.

Mitchell, Dann, Paolo Davini, Ben Harvey, et al.. (2016). Assessing mid-latitude dynamics in extreme event attribution systems. Climate Dynamics. 48(11-12). 3889–3901. 30 indexed citations

9.

Massey, Neil. (2016). Feature tracking in high-resolution regional climate data. Computers & Geosciences. 93. 36–44. 4 indexed citations

10.

Rupp, David E., Sihan Li, Philip W. Mote, et al.. (2016). Influence of the Ocean and Greenhouse Gases on Severe Drought Likelihood in the Central United States in 2012. Journal of Climate. 30(5). 1789–1806. 7 indexed citations

11.

Rupp, David E., Sihan Li, Neil Massey, et al.. (2015). Anthropogenic influence on the changing likelihood of an exceptionally warm summer in Texas, 2011. Geophysical Research Letters. 42(7). 2392–2400. 20 indexed citations

12.

Rosier, Suzanne M., et al.. (2015). Extreme Rainfall in Early July 2014 in Northland, New Zealand—Was There an Anthropogenic Influence?. Bulletin of the American Meteorological Society. 96(12). S136–S140. 27 indexed citations

13.

Rosier, Suzanne M., et al.. (2015). Extreme Rainfall in Early July 2014 in Northland, New Zealand—Was There an Anthropogenic Influence?. Bulletin of the American Meteorological Society. 96(12). S136–S140. 7 indexed citations

14.

Añel, Juan Antonio, Juan Ignacio López‐Moreno, Nathalie Schaller, et al.. (2014). The extreme snow accumulation in the western Spanish Pyrenees during winter and spring 2013. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 6 indexed citations

15.

Otto, Friederike E. L., et al.. (2014). Attribution analysis of high precipitation events in summer in England and Wales over the last decade. Climatic Change. 132(1). 77–91. 15 indexed citations

16.

Massey, Neil, Richard Jones, Friederike E. L. Otto, et al.. (2014). weather@home—development and validation of a very large ensemble modelling system for probabilistic event attribution. Quarterly Journal of the Royal Meteorological Society. 141(690). 1528–1545. 165 indexed citations

17.

Yamazaki, Kuniko, T. Aina, Adam T. Blaker, et al.. (2013). Obtaining diverse behaviors in a climate model without the use of flux adjustments. Journal of Geophysical Research Atmospheres. 118(7). 2781–2793. 19 indexed citations

18.

Massey, Neil. (2012). Feature tracking on the hierarchical equal area triangular mesh. Computers & Geosciences. 44. 42–51. 9 indexed citations

19.

Knight, Christopher G., Sylvia Knight, Neil Massey, et al.. (2007). Association of parameter, software, and hardware variation with large-scale behavior across 57,000 climate models. Proceedings of the National Academy of Sciences. 104(30). 12259–12264. 65 indexed citations

20.

Massey, Neil, et al.. (1994). A Century of Laborism, 1891-1993: An Historical Interpretation. Labour History. 45–45. 5 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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