Gregory Meymaris

452 total citations
12 papers, 300 citations indexed

About

Gregory Meymaris is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Gregory Meymaris has authored 12 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 5 papers in Environmental Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Gregory Meymaris's work include Soil Moisture and Remote Sensing (4 papers), Precipitation Measurement and Analysis (4 papers) and Meteorological Phenomena and Simulations (3 papers). Gregory Meymaris is often cited by papers focused on Soil Moisture and Remote Sensing (4 papers), Precipitation Measurement and Analysis (4 papers) and Meteorological Phenomena and Simulations (3 papers). Gregory Meymaris collaborates with scholars based in United States. Gregory Meymaris's co-authors include J. Hubbert, Scott Ellis, Robert Sharman, Larry Cornman, Julia M. Pearson, Mike Dixon, Michael Dixon, John R. Williams, Wiebke Deierling and Ulrike Romatschke and has published in prestigious journals such as Journal of Atmospheric and Oceanic Technology, Journal of Applied Meteorology and Climatology and UCAR/NCAR.

In The Last Decade

Gregory Meymaris

11 papers receiving 291 citations

Peers

Gregory Meymaris

AS

EE

GPC

AE

CM

Francesc Junyent United States

Philip Gill United Kingdom

Sean Waugh United States

Scott Swerdlin United States

Ahoro Adachi Japan

Anders A. Jensen United States

S. Martin Germany

Douglas E. Forsyth United States

Georgios A. Efstathiou United Kingdom

Rochelle P. Worsnop United States

Francesc Junyent United States

Gregory Meymaris

315 ×1.2

AS

141 ×1.0

EE

114 ×0.8

GPC

47 ×0.7

AE

11 ×0.5

CM

Citations per year, relative to Gregory Meymaris Gregory Meymaris (= 1×) peers Francesc Junyent

Countries citing papers authored by Gregory Meymaris

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Meymaris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Meymaris

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

All Works

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12 of 12 papers shown

1.

Hubbert, J., Gregory Meymaris, Ulrike Romatschke, & Michael Dixon. (2021). Improving Signal Statistics Using a Regression Ground Clutter Filter. Part 1: Theory and Simulations. Journal of Atmospheric and Oceanic Technology. 2 indexed citations

2.

Meymaris, Gregory, Robert Sharman, Larry Cornman, & Wiebke Deierling. (2019). The NCAR In Situ Turbulence Detection Algorithm. UCAR/NCAR. 2 indexed citations

3.

Meymaris, Gregory. (2015). Clutter Mitigation Decision (CMD) Development and Evaluation using Neural Networks. 1 indexed citations

4.

Sharman, Robert, et al.. (2014). Description and Derived Climatologies of Automated In Situ Eddy-Dissipation-Rate Reports of Atmospheric Turbulence. Journal of Applied Meteorology and Climatology. 53(6). 1416–1432. 130 indexed citations

5.

Hubbert, J., Scott Ellis, Michael Dixon, & Gregory Meymaris. (2010). Modeling, Error Analysis, and Evaluation of Dual-Polarization Variables Obtained from Simultaneous Horizontal and Vertical Polarization Transmit Radar. Part I: Modeling and Antenna Errors. Journal of Atmospheric and Oceanic Technology. 27(10). 1583–1598. 42 indexed citations

6.

Hubbert, J., Scott Ellis, Michael Dixon, & Gregory Meymaris. (2010). Modeling, Error Analysis, and Evaluation of Dual-Polarization Variables Obtained from Simultaneous Horizontal and Vertical Polarization Transmit Radar. Part II: Experimental Data. Journal of Atmospheric and Oceanic Technology. 27(10). 1599–1607. 24 indexed citations

7.

Meymaris, Gregory. (2009). An alternative approach to staggered PRT clutter filtering. 2 indexed citations

8.

Meymaris, Gregory. (2009). An improved hybrid spectrum width estimator. 3 indexed citations

9.

Hubbert, J., Mike Dixon, Scott Ellis, & Gregory Meymaris. (2009). Weather Radar Ground Clutter. Part I: Identification, Modeling, and Simulation. Journal of Atmospheric and Oceanic Technology. 26(7). 1165–1180. 89 indexed citations

10.

Meymaris, Gregory & John R. Williams. (2007). Spectrum width estimators for the NEXRAD ORDA: Evaluation and recommendation [presentation]. 4 indexed citations

11.

Hubbert, J., et al.. (2004). Range-velocity ambiguity mitigation via phase coding: experimental results. 45. 1 indexed citations

12.

Meymaris, Gregory, Scott Ellis, & J. Hubbert. (2003). 12.4 DATA QUALITY CONTROL FOR THE SZ(8/64) PHASE CODE FOR THE MITIGATION OF RANGE AND VELOCITY AMBIGUITIES IN THE WSR-88D.

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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