Murray D. MacKay

1.5k total citations
44 papers, 952 citations indexed

About

Murray D. MacKay is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Murray D. MacKay has authored 44 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 12 papers in Water Science and Technology. Recurrent topics in Murray D. MacKay's work include Cryospheric studies and observations (19 papers), Climate variability and models (17 papers) and Climate change and permafrost (14 papers). Murray D. MacKay is often cited by papers focused on Cryospheric studies and observations (19 papers), Climate variability and models (17 papers) and Climate change and permafrost (14 papers). Murray D. MacKay collaborates with scholars based in Canada, United States and Sweden. Murray D. MacKay's co-authors include Paul Bartlett, Diana Verseghy, Philip Marsh, S. Pohl, Frank Seglenieks, Trevor C. Lantz, Vincent Fortin, Ross Brown, Ronald E. Stewart and Kit K. Szeto and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Limnology and Oceanography.

In The Last Decade

Murray D. MacKay

43 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murray D. MacKay Canada 19 612 398 273 166 114 44 952
Mingxiang Yang China 17 311 0.5× 416 1.0× 403 1.5× 40 0.2× 32 0.3× 45 881
Martin Fuchs Austria 7 437 0.7× 774 1.9× 777 2.8× 46 0.3× 45 0.4× 11 1.2k
Pierre‐Alain Danis France 16 400 0.7× 369 0.9× 219 0.8× 185 1.1× 211 1.9× 23 895
Lei Qiao United States 16 345 0.6× 349 0.9× 203 0.7× 117 0.7× 38 0.3× 25 630
Chong Liu China 12 220 0.4× 243 0.6× 230 0.8× 187 1.1× 101 0.9× 27 588
Jūratė Kriaučiūnienė Lithuania 16 175 0.3× 421 1.1× 347 1.3× 89 0.5× 64 0.6× 52 725
Blanche W. Meeson United States 10 180 0.3× 390 1.0× 67 0.2× 361 2.2× 111 1.0× 28 895
Jennifer Rover United States 16 432 0.7× 537 1.3× 269 1.0× 214 1.3× 178 1.6× 35 1.2k
Sylvia Sullivan United States 15 488 0.8× 772 1.9× 283 1.0× 53 0.3× 10 0.1× 27 1.1k
Federica Grilli Italy 18 99 0.2× 327 0.8× 77 0.3× 558 3.4× 95 0.8× 39 959

Countries citing papers authored by Murray D. MacKay

Since Specialization
Citations

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

Fields of papers citing papers by Murray D. MacKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray D. MacKay. 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 Murray D. MacKay. The network helps show where Murray D. MacKay may publish in the future.

Co-authorship network of co-authors of Murray D. MacKay

This figure shows the co-authorship network connecting the top 25 collaborators of Murray D. MacKay. A scholar is included among the top collaborators of Murray D. MacKay 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 Murray D. MacKay. Murray D. MacKay 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.
Feng, Maoyuan, David Bastviken, Sandra Arndt, et al.. (2025). A new biogeochemical modelling framework (FLaMe-v1.0) for lake methane emissions on the regional scale: development and application to the European domain. Earth System Dynamics. 16(5). 1779–1808.
2.
Cole, Jason N. S., Knut von Salzen, Jiangnan Li, et al.. (2023). The Canadian Atmospheric Model version 5 (CanAM5.0.3). Geoscientific model development. 16(18). 5427–5448. 7 indexed citations
3.
MacKay, Murray D.. (2023). Ice Concentration Scaling Laws for Freshwater Lakes in Numerical Weather and Climate Prediction. Geophysical Research Letters. 50(12). 1 indexed citations
4.
MacKay, Murray D., et al.. (2023). Modeling Heat and Water Exchanges between the Atmosphere and an 85-km2 Dimictic Subarctic Reservoir Using the 1D Canadian Small Lake Model. Journal of Hydrometeorology. 25(5). 689–707. 2 indexed citations
5.
Wells, Mathew G., Bailey C. McMeans, Hilary A. Dugan, et al.. (2021). A New Thermal Categorization of Ice-covered Lakes. 5 indexed citations
6.
Wells, Mathew G., Bailey C. McMeans, Hilary A. Dugan, et al.. (2020). A New Thermal Categorization of Ice‐Covered Lakes. Geophysical Research Letters. 48(3). 45 indexed citations
7.
8.
MacKay, Murray D.. (2019). Incorporating wind sheltering and sediment heat flux into 1-D models of small boreal lakes: a case study with the Canadian Small Lake Model V2.0. Geoscientific model development. 12(7). 3045–3054. 4 indexed citations
9.
Guerrero, José-Luis, et al.. (2017). Parameter sensitivity analysis of a 1-D cold region lake model for land-surface schemes. Hydrology and earth system sciences. 21(12). 6345–6362. 5 indexed citations
10.
Weyhenmeyer, Gesa A., Murray D. MacKay, Jason D. Stockwell, et al.. (2017). Citizen science shows systematic changes in the temperature difference between air and inland waters with global warming. Scientific Reports. 7(1). 43890–43890. 22 indexed citations
11.
Verseghy, Diana & Murray D. MacKay. (2017). Offline Implementation and Evaluation of the Canadian Small Lake Model with the Canadian Land Surface Scheme over Western Canada. Journal of Hydrometeorology. 18(6). 1563–1582. 14 indexed citations
12.
DeBeer, C. M., H. S. Wheater, William L. Quinton, et al.. (2014). The Changing Cold Regions Network: Observation, diagnosis and prediction of environmental change in the Saskatchewan and Mackenzie River Basins, Canada. Science China Earth Sciences. 58(1). 46–60. 25 indexed citations
13.
MacKay, Murray D.. (2012). A Process-Oriented Small Lake Scheme for Coupled Climate Modeling Applications. Journal of Hydrometeorology. 13(6). 1911–1924. 26 indexed citations
14.
MacKay, Murray D.. (2011). A Process Oriented Small Lake Dynamical Scheme for Coupled Climate Modeling Applications. AGUFM. 2011. 1 indexed citations
15.
Marsh, Philip, Paul Bartlett, Murray D. MacKay, S. Pohl, & Trevor C. Lantz. (2010). Snowmelt energetics at a shrub tundra site in the western Canadian Arctic. Hydrological Processes. 24(25). 3603–3620. 94 indexed citations
16.
Brown, Ross, Paul Bartlett, Murray D. MacKay, & Diana Verseghy. (2006). Evaluation of snow cover in CLASS for SnowMIP. ATMOSPHERE-OCEAN. 44(3). 223–238. 50 indexed citations
17.
MacKay, Murray D., Paul Bartlett, Ed Chan, et al.. (2006). On the simulation of regional scale sublimation over boreal and agricultural landscapes in a climate model. ATMOSPHERE-OCEAN. 44(3). 289–304. 16 indexed citations
18.
Swayne, David, David Lam, Murray D. MacKay, Wayne R. Rouse, & William M. Schertzer. (2005). Assessment of the interaction between the Canadian Regional Climate Model and lake thermal–hydrodynamic models. Environmental Modelling & Software. 20(12). 1505–1513. 18 indexed citations
19.
Feng, Jianying, H. G. Leighton, Murray D. MacKay, et al.. (2002). A comparison of solar radiation budgets in the Mackenzie river basin from satellite measurements and a regional climate model. ATMOSPHERE-OCEAN. 40(2). 221–232. 5 indexed citations
20.
MacKay, Murray D.. (2000). A modified pool permutation procedure for short regional climate model simulations nested within analyzed fields. Geophysical Research Letters. 27(16). 2525–2528. 1 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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