John E. Hay

4.8k total citations
84 papers, 2.7k citations indexed

About

John E. Hay is a scholar working on Global and Planetary Change, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, John E. Hay has authored 84 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 25 papers in Artificial Intelligence and 20 papers in Atmospheric Science. Recurrent topics in John E. Hay's work include Solar Radiation and Photovoltaics (25 papers), Photovoltaic System Optimization Techniques (13 papers) and Solar Thermal and Photovoltaic Systems (13 papers). John E. Hay is often cited by papers focused on Solar Radiation and Photovoltaics (25 papers), Photovoltaic System Optimization Techniques (13 papers) and Solar Thermal and Photovoltaic Systems (13 papers). John E. Hay collaborates with scholars based in Canada, New Zealand and United States. John E. Hay's co-authors include Susanne Becken, B. B. Fitzharris, Donald McKay, Kim N. Dirks, C. D. Stow, Daniel Harris, Philip W. Suckling, Nobuo Mimura, P. D. Jones and L. J. B. McArthur and has published in prestigious journals such as Journal of Applied Physics, Journal of Hazardous Materials and Annals of the New York Academy of Sciences.

In The Last Decade

John E. Hay

80 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Hay Canada 26 1.0k 954 770 759 405 84 2.7k
Aiwen Lin China 30 495 0.5× 1.8k 1.9× 891 1.2× 197 0.3× 474 1.2× 80 2.7k
Nadir Ahmed Elagib Germany 28 253 0.2× 1.3k 1.4× 314 0.4× 180 0.2× 389 1.0× 62 2.5k
Sónia Jerez Spain 32 250 0.2× 2.0k 2.1× 1.4k 1.8× 133 0.2× 363 0.9× 68 3.2k
Ling Yao China 31 421 0.4× 1.0k 1.1× 650 0.8× 226 0.3× 680 1.7× 146 2.8k
Sorin Cheval Romania 24 235 0.2× 1.0k 1.1× 534 0.7× 150 0.2× 637 1.6× 80 2.0k
Andrea Bono Switzerland 16 234 0.2× 805 0.8× 646 0.8× 58 0.1× 195 0.5× 37 1.9k
Wenjun Tang China 31 795 0.8× 2.9k 3.0× 3.1k 4.0× 325 0.4× 1.5k 3.6× 74 5.8k
Laurel Saito United States 20 301 0.3× 380 0.4× 139 0.2× 212 0.3× 186 0.5× 66 1.4k
Robert Muir‐Wood United Kingdom 11 97 0.1× 1.4k 1.4× 513 0.7× 142 0.2× 275 0.7× 27 2.8k
Mort Webster United States 32 57 0.1× 1.2k 1.2× 558 0.7× 613 0.8× 364 0.9× 91 3.3k

Countries citing papers authored by John E. Hay

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Hay. 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 John E. Hay. The network helps show where John E. Hay may publish in the future.

Co-authorship network of co-authors of John E. Hay

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Hay. A scholar is included among the top collaborators of John E. Hay 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 John E. Hay. John E. Hay 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.
Hay, John E., David R. Easterling, Kristie L. Ebi, Akio Kitoh, & Martin L. Parry. (2015). Conclusion to the special issue: Observed and projected changes in weather and climate extremes. Weather and Climate Extremes. 11. 103–105. 16 indexed citations
2.
Hay, John E., Nobuo Mimura, Jillian Campbell, et al.. (2003). Climate variability and change and sea-level rise in the Pacific Islands region: a resource book for policy decision-makers, educators and other stakeholders. 21 indexed citations
3.
Dirks, Kim N., et al.. (2002). A simple semi-empirical model for predicting missing carbon monoxide concentrations. Atmospheric Environment. 36(39-40). 5953–5959. 20 indexed citations
4.
Ferguson, Lynnette R., et al.. (1996). Mutagenicity tests as a monitoring tool for potential mutagens and carcinogens in shellfish gathering areas of New Zealand. New Zealand Journal of Marine and Freshwater Research. 30(4). 413–421. 3 indexed citations
5.
Lewis, Gillian D., et al.. (1996). Modification of the polyethylene glycol 6000 precipitation method for recovering human and indicator viruses from oysters and mussels. New Zealand Journal of Marine and Freshwater Research. 30(4). 443–447. 4 indexed citations
6.
Hay, John E., et al.. (1994). Environmental and related issues in the Asia-Pacific region : implications for tertiary-level environmental training. 3 indexed citations
7.
Hay, John E., et al.. (1993). Contributions to training in coastal zone management in the Asia-Pacific region and report of the first NETTLAP resources development workshop for education and training at tertiary level in coastal zone management : Cha-am, Thailand, November 9-11, 1993. 3 indexed citations
8.
Power, Helen C., C. R. de Freitas, & John E. Hay. (1992). Relative effects of climate and source strength on atmospheric lead concentrations in Auckland, New Zealand. Theoretical and Applied Climatology. 45(2). 127–138. 1 indexed citations
9.
Fitzharris, B. B., John E. Hay, & P. D. Jones. (1992). Behaviour of New Zealand Glaciers and Atmospheric Circulation Changes over the Past 130 years. The Holocene. 2(2). 97–106. 57 indexed citations
10.
Hay, John E. & B. B. Fitzharris. (1988). A Comparison of the Energy-Balance and Bulk-aerodynamic Approaches for Estimating Glacier Melt. Journal of Glaciology. 34(117). 145–153. 12 indexed citations
11.
Hay, John E., et al.. (1985). Blocking signatures in the northern hemisphere: Frequency distribution and interpretation. Journal of Climatology. 5(1). 1–16. 35 indexed citations
12.
Hay, John E., et al.. (1984). An Assessment of Models which use Satellite Data to Estimate Solar Irradiance at the Earth's Surface. Journal of Climate and Applied Meteorology. 23(5). 832–844. 59 indexed citations
13.
Hay, John E.. (1983). Solar energy system design: The impact of mesoscale variations in solar radiation. ATMOSPHERE-OCEAN. 21(2). 138–157. 25 indexed citations
14.
Hay, John E. & D. I. Wardle. (1982). An assessment of the uncertainty in measurements of solar radiation. Solar Energy. 29(4). 271–278. 30 indexed citations
15.
Hay, John E., et al.. (1981). Cloud mapping from the earth's surface using infrared radiance contrasts*. ATMOSPHERE-OCEAN. 19(4). 345–371. 1 indexed citations
16.
McArthur, L. J. B. & John E. Hay. (1981). A Technique for Mapping the Distribution of Diffuse Solar Radiation over the Sky Hemisphere. Journal of applied meteorology. 20(4). 421–429. 33 indexed citations
17.
Hay, John E.. (1978). Measurement and modelling of shortwave radiation on inclined surfaces. 150–153. 8 indexed citations
18.
Johnston, Ron & John E. Hay. (1974). Spatial variations in awareness of air pollution distributions. International Journal of Environmental Studies. 6(2-3). 131–136. 2 indexed citations
19.
Hay, John E., et al.. (1970). Student Part—Time Jobs: Relevant or Nonrelevant. Vocational Guidance Quarterly. 19(2). 113–118. 9 indexed citations
20.
Hay, John E., et al.. (1962). Vocational Guidance: “On the Beach”. Vocational Guidance Quarterly. 11(2). 75–79. 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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