Graeme K. Mather

542 total citations
18 papers, 384 citations indexed

About

Graeme K. Mather is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Graeme K. Mather has authored 18 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 7 papers in Earth-Surface Processes. Recurrent topics in Graeme K. Mather's work include Atmospheric aerosols and clouds (10 papers), Aeolian processes and effects (7 papers) and Meteorological Phenomena and Simulations (6 papers). Graeme K. Mather is often cited by papers focused on Atmospheric aerosols and clouds (10 papers), Aeolian processes and effects (7 papers) and Meteorological Phenomena and Simulations (6 papers). Graeme K. Mather collaborates with scholars based in South Africa, United States and Australia. Graeme K. Mather's co-authors include Roelof Bruintjes, William A. Cooper, Lizelle Fletcher, Francois Steffens, Deon Terblanche, Kenneth R. Hardy, Richard J. Reed, Michael Dixon, J. M. de Jager and Russell A. Parsons and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Theoretical and Applied Climatology and Journal of Climate and Applied Meteorology.

In The Last Decade

Graeme K. Mather

17 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graeme K. Mather South Africa 8 297 266 137 31 31 18 384
R. Serpolay France 5 245 0.8× 244 0.9× 46 0.3× 26 0.8× 30 1.0× 14 329
Toshio Harimaya Japan 12 219 0.7× 290 1.1× 43 0.3× 9 0.3× 31 1.0× 41 338
William M. Porch United States 14 419 1.4× 397 1.5× 45 0.3× 14 0.5× 95 3.1× 42 536
D. Marcotte Canada 7 313 1.1× 319 1.2× 36 0.3× 16 0.5× 12 0.4× 10 383
Bruce A. Boe United States 12 339 1.1× 337 1.3× 73 0.5× 7 0.2× 20 0.6× 28 412
Junshi Ito Japan 11 284 1.0× 319 1.2× 88 0.6× 30 1.0× 147 4.7× 36 437
Ilya Serikov Germany 9 567 1.9× 480 1.8× 60 0.4× 6 0.2× 21 0.7× 16 616
Darren O’Connor United States 7 617 2.1× 616 2.3× 101 0.7× 23 0.7× 15 0.5× 10 682
Jun‐Ichi Yano France 7 371 1.2× 382 1.4× 51 0.4× 15 0.5× 26 0.8× 15 413
Damao Zhang United States 16 642 2.2× 639 2.4× 122 0.9× 13 0.4× 27 0.9× 45 700

Countries citing papers authored by Graeme K. Mather

Since Specialization
Citations

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

Fields of papers citing papers by Graeme K. Mather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme K. Mather. 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 Graeme K. Mather. The network helps show where Graeme K. Mather may publish in the future.

Co-authorship network of co-authors of Graeme K. Mather

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme K. Mather. A scholar is included among the top collaborators of Graeme K. Mather 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 Graeme K. Mather. Graeme K. Mather is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Morgan, Griffith M., et al.. (2000). A Calorimetric Jet Engine Technique for Estimating the Condensed Water Mixing Ratio in Cumulus Clouds for Cloud Physical and Weather Modification Research. Journal of Applied Meteorology. 39(11). 1837–1844. 1 indexed citations
2.
Cooper, William A., Roelof Bruintjes, & Graeme K. Mather. (1997). Calculations Pertaining to Hygroscopic Seeding with Flares. Journal of Applied Meteorology. 36(11). 1449–1469. 122 indexed citations
3.
Mather, Graeme K., Deon Terblanche, Francois Steffens, & Lizelle Fletcher. (1997). Results of the South African Cloud-Seeding Experiments Using Hygroscopic Flares. Journal of Applied Meteorology. 36(11). 1433–1447. 94 indexed citations
4.
Mather, Graeme K., Michael Dixon, & J. M. de Jager. (1996). Assessing the Potential for Rain AugmentationThe Nelspruit Randomized Convective Cloud Seeding Experiment. Journal of Applied Meteorology. 35(9). 1465–1482. 35 indexed citations
5.
Bruintjes, Roelof, Graeme K. Mather, Deon Terblanche, & Francois Steffens. (1993). A New Look at the Potential of Hygroscopic Seeding in Summertime Convective Clouds. 496–503. 1 indexed citations
6.
Mather, Graeme K.. (1991). Coalescence Enhancement in large Multicell Storms Caused by the Emissions from a Kraft Paper Mill. Journal of Applied Meteorology. 30(8). 1134–1146. 39 indexed citations
7.
Mather, Graeme K., et al.. (1990). Apparent Persistence Effects in the Nelspruit Area from Silver Iodide Seeding for Hail Suppression. Journal of Applied Meteorology. 29(8). 806–811. 5 indexed citations
8.
Morgan, Griffith M., Brian J. Morrison, & Graeme K. Mather. (1989). Measurement of total and condensed water mixing ratios in warm-based cumulus clouds by a jet engine evaporation technique. Theoretical and Applied Climatology. 40(4). 187–199. 2 indexed citations
9.
Mather, Graeme K.. (1989). Estimates of Precipitation Embryo Densities Using Measurements from an Aircraft Radar. Journal of Applied Meteorology. 28(10). 1089–1097. 1 indexed citations
10.
Mather, Graeme K., et al.. (1986). A Preliminary Assessment of the Importance of Coalescence in Convective Clouds of the Eastern Transvaal. Journal of Climate and Applied Meteorology. 25(11). 1780–1784. 10 indexed citations
11.
Gabriel, K. R. & Graeme K. Mather. (1986). Exploratory Data Analysis of 1951–82 Summer Rainfall around Nelspruit, Transvaal, and Possible Effects of 1972–81 Cloud Seeding. Journal of Climate and Applied Meteorology. 25(8). 1077–1087. 2 indexed citations
12.
Mather, Graeme K.. (1977). An Analysis of a Possible Crop Response to Hail Suppression Seeding: The Nelspruit Hail Suppression Project. Journal of applied meteorology. 16(9). 959–970. 6 indexed citations
13.
Mather, Graeme K., et al.. (1976). An Observed Relationship between the Height of the 45 dBZ Contours in Storm Profiles and Surface Hail Reports. Journal of applied meteorology. 15(12). 1336–1340. 18 indexed citations
14.
Hardy, Kenneth R., Richard J. Reed, & Graeme K. Mather. (1973). Observation of Kelvin‐Helmholtz billows and their mesoscale environment by radar, instrumented aircraft, and a dense radiosonde network. Quarterly Journal of the Royal Meteorological Society. 99(420). 279–293. 35 indexed citations
15.
Summers, Peter W., et al.. (1972). The Development and Testing of an Airborne Droppable Pyrotechnic Flare System for Seeding Alberta Hailstorms. Journal of applied meteorology. 11(4). 695–703. 8 indexed citations
16.
Hardy, Kenneth R. & Graeme K. Mather. (1970). Instrumented aircraft measurements in the vicinity of clear air radar structures. NASA Technical Reports Server (NASA). 15(3). 191–198. 2 indexed citations
17.
Mather, Graeme K., et al.. (1969). TURBULENCE MEASUREMENTS AT LOWER LEVELS AROUND A SQUALL LINE. NPARC. 1 indexed citations
18.
Mather, Graeme K.. (1967). The NAE T-33 turbulence research aircraft. NPARC. 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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