C. E. Meek

7.2k total citations
197 papers, 5.6k citations indexed

About

C. E. Meek is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Oceanography. According to data from OpenAlex, C. E. Meek has authored 197 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Astronomy and Astrophysics, 92 papers in Atmospheric Science and 71 papers in Oceanography. Recurrent topics in C. E. Meek's work include Ionosphere and magnetosphere dynamics (163 papers), Solar and Space Plasma Dynamics (91 papers) and Atmospheric Ozone and Climate (68 papers). C. E. Meek is often cited by papers focused on Ionosphere and magnetosphere dynamics (163 papers), Solar and Space Plasma Dynamics (91 papers) and Atmospheric Ozone and Climate (68 papers). C. E. Meek collaborates with scholars based in Canada, Japan and United States. C. E. Meek's co-authors include A. H. Manson, D. Pancheva, J. B. Gregory, R. A. Vincent, J. W. MacDougall, Chris Hall, W. Singer, Iain M. Reid, W. K. Hocking and C. Haldoupis and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Bioinformatics and Geophysical Research Letters.

In The Last Decade

C. E. Meek

194 papers receiving 4.9k 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. E. Meek Canada 43 5.1k 2.7k 1.4k 680 679 197 5.6k
W. Kent Tobiska United States 32 4.7k 0.9× 1.5k 0.6× 594 0.4× 354 0.5× 782 1.2× 151 5.1k
Jia Yue United States 36 3.4k 0.7× 2.0k 0.8× 571 0.4× 1.1k 1.6× 524 0.8× 211 4.1k
J. T. Emmert United States 37 3.8k 0.8× 1.4k 0.5× 781 0.6× 816 1.2× 949 1.4× 88 4.1k
S. E. Palo United States 32 3.0k 0.6× 1.5k 0.6× 534 0.4× 587 0.9× 569 0.8× 144 3.5k
T. J. Fuller‐Rowell United States 37 4.7k 0.9× 1.0k 0.4× 571 0.4× 1.7k 2.5× 1.4k 2.0× 109 4.8k
J. J. Makela United States 42 5.0k 1.0× 1.2k 0.4× 816 0.6× 2.2k 3.3× 997 1.5× 160 5.6k
E. W. Cliver United States 49 7.4k 1.5× 599 0.2× 698 0.5× 536 0.8× 2.3k 3.4× 198 7.8k
William Schreiner United States 37 4.6k 0.9× 1.8k 0.7× 1.7k 1.2× 1.4k 2.1× 644 0.9× 93 5.2k
Baiqi Ning China 45 6.0k 1.2× 1.1k 0.4× 984 0.7× 3.1k 4.5× 1.2k 1.8× 265 6.5k
R. A. Viereck United States 24 2.3k 0.4× 828 0.3× 188 0.1× 342 0.5× 400 0.6× 70 2.5k

Countries citing papers authored by C. E. Meek

Since Specialization
Citations

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

Fields of papers citing papers by C. E. Meek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. E. Meek

This figure shows the co-authorship network connecting the top 25 collaborators of C. E. Meek. A scholar is included among the top collaborators of C. E. Meek 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. E. Meek. C. E. Meek 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.
Ward, W. E., et al.. (2024). Wind comparisons between meteor radar and Doppler shifts in airglow emissions using field-widened Michelson interferometers. Atmospheric measurement techniques. 17(13). 3995–4014. 2 indexed citations
2.
Stober, Gunter, Alan Z. Liu, Alexander Kozlovsky, et al.. (2022). Meteor radar vertical wind observation biases and mathematical debiasing strategies including the 3DVAR+DIV algorithm. Atmospheric measurement techniques. 15(19). 5769–5792. 14 indexed citations
3.
Li, Tao, Xiankang Dou, Xin Fang, et al.. (2017). Characteristics of ripple structures revealed in OH airglow images. Journal of Geophysical Research Space Physics. 122(3). 3748–3759. 9 indexed citations
4.
Yih, Wen-tau, Matthew Richardson, C. E. Meek, Ming‐Wei Chang, & Jina Suh. (2016). The Value of Semantic Parse Labeling for Knowledge Base Question Answering. 201–206. 210 indexed citations
5.
Latteck, Ralph, W. Singer, Jan Maik Wissing, et al.. (2010). Longitudinal differences of the PMSE strength at high Arctic latitudes. EGU General Assembly Conference Abstracts. 4548. 1 indexed citations
6.
Geiger, Dan, C. E. Meek, & Ydo Wexler. (2009). Speeding Up HMM Algorithms For Genetic Linkage Analysis. Bioinformatics. 2 indexed citations
7.
Kamar, Ece, Eric Horvitz, & C. E. Meek. (2008). Mobile opportunistic commerce: mechanisms, architecture, and application. Adaptive Agents and Multi-Agents Systems. 1087–1094. 12 indexed citations
8.
Hall, Christopher, A. Brekke, A. H. Manson, C. E. Meek, & Satonori Nozawa. (2007). Trends in mesospheric turbulence at 70°N. Atmospheric Science Letters. 8(3). 80–84. 6 indexed citations
9.
Meek, C. E. & Uffe Kjærulff. (2003). UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, August 7-10 2003, Acapulco, Mexico. Uncertainty in Artificial Intelligence. 2 indexed citations
10.
Manson, A. H., Yi Luo, & C. E. Meek. (2002). Global distributions of diurnal and semi-diurnal tides: observations from HRDI-UARS of the MLT region. Annales Geophysicae. 20(11). 1877–1890. 49 indexed citations
11.
Manson, A. H., C. E. Meek, M. E. Hagan, et al.. (2002). Seasonal variations of the semi-diurnal and diurnal tides in the MLT: multi-year MF radar observations from 2–70° N, modelled tides (GSWM, CMAM). Annales Geophysicae. 20(5). 661–677. 57 indexed citations
12.
Nozawa, Satonori, Ryoichi Fujii, A. Brekke, et al.. (2002). Seasonal Variation of Quasi 2-day Wave In The Polar Mesosphere. EGS General Assembly Conference Abstracts. 1101. 1 indexed citations
13.
Fahrutdinova, A.N., et al.. (2002). Longitudinal variability of the zonal and meridional circulation and the intensity of planetary waves in the lower and the middle atmospheres. cosp. 34. 1693. 1 indexed citations
14.
Jacobi, Christoph, Martín Lange, D. Kürschner, A. H. Manson, & C. E. Meek. (2001). A long-term comparison of saskatoon MF radar and collm LF D1 mesosphere-lower thermosphere wind measurements. Physics and Chemistry of the Earth Part C Solar Terrestrial & Planetary Science. 26(6). 419–424. 25 indexed citations
15.
Lieberman, R. S., Anne K. Smith, S. J. Franke, et al.. (2000). Comparison of mesospheric and lower thermospheric residual wind with High Resolution Doppler Imager, medium frequency, and meteor radar winds. Journal of Geophysical Research Atmospheres. 105(D22). 27023–27035. 17 indexed citations
16.
Heckerman, David, et al.. (2000). Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization. Uncertainty in Artificial Intelligence. 82–88. 21 indexed citations
17.
Thiesson, Bo, et al.. (1997). Learning Mixtures of Bayesian Networks. 18 indexed citations
18.
Khattatov, B., Marvin A. Geller, P. B. Hays, et al.. (1995). Dynamics of the Mesosphere and Lower Thermosphere as Seen by MF Radars and by Hrdi/uars. PhDT. 5 indexed citations
19.
Dameris, M., et al.. (1986). Vertical change of the response to solar activity oscillations with periods around 13 and 27 days in the middle atmosphere.. Annales Geophysicae. 4. 271–280. 34 indexed citations
20.
Manson, A. H., C. E. Meek, M. Massebeuf, et al.. (1984). Mean Winds of the Upper Middle Atmosphere (60-110 Km): a Global Distribution from Radar Systems (MF, Meteor, VHF). 14. 19–268. 12 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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