C. Thompson

705 total citations
21 papers, 543 citations indexed

About

C. Thompson is a scholar working on Global and Planetary Change, Atmospheric Science and Management Science and Operations Research. According to data from OpenAlex, C. Thompson has authored 21 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 5 papers in Management Science and Operations Research. Recurrent topics in C. Thompson's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrology and Drought Analysis (8 papers). C. Thompson is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (10 papers) and Hydrology and Drought Analysis (8 papers). C. Thompson collaborates with scholars based in New Zealand, France and United States. C. Thompson's co-authors include John W. Kidson, Reid E. Basher, Pierre Ailliot, Peter C. Thomson, Xiaogu Zheng, J. Sansom, Peter Thomson, A. Brett Mullan, W. R. Gray and T. D. Glotch and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Water Resources Research.

In The Last Decade

C. Thompson

21 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Thompson New Zealand 11 416 293 73 55 52 21 543
William M. Lapenta United States 12 638 1.5× 602 2.1× 99 1.4× 101 1.8× 52 1.0× 32 749
Tao Su China 13 282 0.7× 184 0.6× 92 1.3× 19 0.3× 63 1.2× 42 447
Á. Redaño Spain 16 654 1.6× 478 1.6× 78 1.1× 57 1.0× 32 0.6× 28 744
William B. Norris United States 14 706 1.7× 659 2.2× 18 0.2× 155 2.8× 65 1.3× 21 891
Julian Quinting Germany 19 861 2.1× 764 2.6× 50 0.7× 53 1.0× 133 2.6× 47 982
Stavros Dafis Greece 13 406 1.0× 328 1.1× 48 0.7× 50 0.9× 65 1.3× 39 558
Qiuzi Han Wen China 7 636 1.5× 493 1.7× 74 1.0× 73 1.3× 51 1.0× 11 762
S. V. Kostrykin Russia 11 536 1.3× 483 1.6× 21 0.3× 21 0.4× 97 1.9× 35 621
Nasser Najibi United States 9 249 0.6× 145 0.5× 119 1.6× 105 1.9× 52 1.0× 25 447
Jordan C. Alpert United States 13 752 1.8× 865 3.0× 27 0.4× 55 1.0× 144 2.8× 24 1.0k

Countries citing papers authored by C. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by C. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of C. Thompson. A scholar is included among the top collaborators of C. Thompson 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 C. Thompson. C. Thompson 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.
Hanna, K. L. Donaldson, B. T. Greenhagen, William R. Patterson, et al.. (2016). Effects of varying environmental conditions on emissivity spectra of bulk lunar soils: Application to Diviner thermal infrared observations of the Moon. Icarus. 283. 326–342. 52 indexed citations
2.
Ailliot, Pierre, C. Thompson, & Peter C. Thomson. (2011). Mixed methods for fitting the GEV distribution. Water Resources Research. 47(5). 31 indexed citations
3.
Carey‐Smith, Trevor, S. M. Dean, Jessica Vial, & C. Thompson. (2010). Changes in precipitation extremes for New Zealand: climate model predictions. 3 indexed citations
4.
Zheng, Xiaogu & C. Thompson. (2010). Simulation of Spatial Dependence in Daily Precipitation Using a Mixture of Generalized Chain-Dependent Processes at Multisites. Journal of Hydrometeorology. 12(2). 286–293. 2 indexed citations
5.
Ailliot, Pierre, C. Thompson, & Peter C. Thomson. (2009). Space–Time Modelling of Precipitation by Using a Hidden Markov Model and Censored Gaussian Distributions. Journal of the Royal Statistical Society Series C (Applied Statistics). 58(3). 405–426. 61 indexed citations
6.
Sansom, J. & C. Thompson. (2008). Spatial and temporal variation of rainfall over New Zealand. Journal of Geophysical Research Atmospheres. 113(D6). 7 indexed citations
7.
Thompson, C., Peter Thomson, & Xiaogu Zheng. (2007). Fitting a multisite daily rainfall model to New Zealand data. Journal of Hydrology. 340(1-2). 25–39. 33 indexed citations
9.
Mullan, A. Brett & C. Thompson. (2005). Analogue forecasting of New Zealand climate anomalies. International Journal of Climatology. 26(4). 485–504. 16 indexed citations
10.
Sansom, J. & C. Thompson. (2003). Mesoscale spatial variation of rainfall through a hidden semi‐Markov model of breakpoint data. Journal of Geophysical Research Atmospheres. 108(D8). 13 indexed citations
11.
Colstoun, E. Brown De, et al.. (2003). Vegetation mapping using multi-temporal ETM+ data and a decision tree classifier. 5. 2890–2892. 2 indexed citations
12.
Sansom, J., C. Thompson, & W. R. Gray. (2001). Extraction of breakpoints from radar‐estimated rainfall fields. Meteorological Applications. 8(2). 137–152. 7 indexed citations
13.
Warrick, R. A., A. Brett Mullan, G. J. Kenny, et al.. (2001). The CLIMPACTS synthesis report: An assessment of the effects of climate change and variation in New Zealand using the CLIMPACTS system. Research Commons (University of Waikato). 3 indexed citations
14.
Renwick, James & C. Thompson. (2001). Southern Hemisphere Medium-Range Forecast Skill and Predictability: A Comparison of Two Operational Models. Monthly Weather Review. 129(9). 2377–2391. 1 indexed citations
15.
Kidson, John W. & C. Thompson. (1998). A Comparison of Statistical and Model-Based Downscaling Techniques for Estimating Local Climate Variations. Journal of Climate. 11(4). 735–753. 172 indexed citations
16.
Thompson, C., Mark R. Sinclair, & W. R. Gray. (1997). Estimating long-term annual precipitation in a mountainous region from a diagnostic model. International Journal of Climatology. 17(9). 997–1007. 14 indexed citations
17.
Zheng, Xiaogu, Reid E. Basher, & C. Thompson. (1997). Trend Detection in Regional-Mean Temperature Series: Maximum, Minimum, Mean, Diurnal Range, and SST. Journal of Climate. 10(2). 317–326. 47 indexed citations
18.
Thompson, C.. (1987). Rainfall at Tuvalu, Tokelau and the Northern Cook Islands and its relationship to the Southern Oscillation (Note). New Zealand Journal of Geology and Geophysics. 30(2). 195–198. 3 indexed citations
19.
Thompson, C. & K. J. A. Revfeim. (1985). ‘Comment on “homogeneity analysis of rainfall series—an application of the use of a realistic rainfall model” ’. Journal of Climatology. 5(5). 579–581. 2 indexed citations
20.
Thompson, C.. (1984). Homogeneity analysis of rainfall series: An application of the use of A realistic rainfall model. Journal of Climatology. 4(6). 609–619. 25 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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