Mary C. Meyer

1.2k total citations
44 papers, 681 citations indexed

About

Mary C. Meyer is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mary C. Meyer has authored 44 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Mary C. Meyer's work include Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Mary C. Meyer is often cited by papers focused on Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Mary C. Meyer collaborates with scholars based in United States. Mary C. Meyer's co-authors include Michael Woodroofe, Alexandra Brewis, Purushottam W. Laud, Karen L. Schmidt, Jennifer A. Hoeting, Amber J. Hackstadt, Michael T. Henderson, Jean D. Opsomer, Zenong Yin and Richard D. Lewis and has published in prestigious journals such as Journal of the American Statistical Association, Global Change Biology and Biometrika.

In The Last Decade

Mary C. Meyer

43 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary C. Meyer United States 16 315 112 67 63 58 44 681
Mortaza Jamshidian United States 16 516 1.6× 246 2.2× 57 0.9× 167 2.7× 32 0.6× 34 1.3k
Ana‐Maria Staicu United States 19 712 2.3× 265 2.4× 80 1.2× 48 0.8× 21 0.4× 64 1.2k
Edward L. Boone United States 18 201 0.6× 77 0.7× 16 0.2× 56 0.9× 47 0.8× 72 1.1k
Matthew Reimherr United States 17 465 1.5× 199 1.8× 83 1.2× 71 1.1× 34 0.6× 47 1.1k
Arnab Maity United States 19 358 1.1× 133 1.2× 49 0.7× 30 0.5× 60 1.0× 70 1.2k
Jun Shao China 7 192 0.6× 65 0.6× 43 0.6× 32 0.5× 28 0.5× 13 646
Dieter Rasch Germany 14 239 0.8× 72 0.6× 18 0.3× 152 2.4× 31 0.5× 86 1.1k
Andreas Alfons Netherlands 12 259 0.8× 114 1.0× 24 0.4× 61 1.0× 19 0.3× 34 636
Angelika van der Linde Germany 10 235 0.7× 134 1.2× 17 0.3× 42 0.7× 29 0.5× 26 733
Javad Behboodian Iran 16 502 1.6× 248 2.2× 25 0.4× 213 3.4× 44 0.8× 63 889

Countries citing papers authored by Mary C. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary C. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Meyer. A scholar is included among the top collaborators of Mary C. Meyer 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 Mary C. Meyer. Mary C. Meyer 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.
Meyer, Mary C., et al.. (2019). Political attitudes of the young electorate in the 2016 presidential election and parental influences on political identity formation.. UTC Scholar (University of Tennessee at Chattanooga). 25(1). 3. 1 indexed citations
2.
Meyer, Mary C.. (2019). Probability and Mathematical Statistics: Theory, Applications, and Practice in R. Society for Industrial and Applied Mathematics eBooks. 9 indexed citations
3.
Meyer, Mary C.. (2018). A Framework for Estimation and Inference in Generalized Additive Models with Shape and Order Restrictions. Statistical Science. 33(4). 11 indexed citations
4.
Moisen, Gretchen G., Mary C. Meyer, Todd A. Schroeder, et al.. (2016). Shape selection in Landsat time series: a tool for monitoring forest dynamics. Global Change Biology. 22(10). 3518–3528. 45 indexed citations
5.
Sen, Bodhisattva & Mary C. Meyer. (2016). Testing Against a Linear Regression Model Using Ideas from Shape-Restricted Estimation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 79(2). 423–448. 9 indexed citations
6.
Wang, Huan, Mary C. Meyer, & Jean D. Opsomer. (2013). Constrained spline regression in the presence of AR(p) errors. Journal of nonparametric statistics. 25(4). 809–827. 6 indexed citations
7.
Meyer, Mary C., et al.. (2012). Improved power of one-sided tests. Statistics & Probability Letters. 82(8). 1619–1622. 2 indexed citations
8.
Meyer, Mary C.. (2012). A Simple New Algorithm for Quadratic Programming with Applications in Statistics. Communications in Statistics - Simulation and Computation. 42(5). 1126–1139. 25 indexed citations
9.
Meyer, Mary C., Amber J. Hackstadt, & Jennifer A. Hoeting. (2011). Bayesian estimation and inference for generalised partial linear models using shape-restricted splines. Journal of nonparametric statistics. 23(4). 867–884. 29 indexed citations
10.
Meyer, Mary C., et al.. (2010). Nonparametric estimation of density and hazard rate functions with shape restrictions. Journal of nonparametric statistics. 23(2). 455–470. 7 indexed citations
11.
Lewis, Richard D., et al.. (2006). Prevalence and Degree of Childhood and Adolescent Overweight in Rural, Urban, and Suburban Georgia. Journal of School Health. 76(4). 126–132. 47 indexed citations
12.
Cosgrove, Charles H. & Mary C. Meyer. (2006). Melody and word accent relationships in ancient Greek musical documents: the Pitch Height Rule. The Journal of Hellenic Studies. 126. 66–81. 4 indexed citations
13.
Brewis, Alexandra & Mary C. Meyer. (2005). Demographic Evidence That Human Ovulation Is Undetectable (At Least in Pair Bonds). Current Anthropology. 46(3). 465–471. 17 indexed citations
14.
Brewis, Alexandra & Mary C. Meyer. (2005). MARITAL COITUS ACROSS THE LIFE COURSE. Journal of Biosocial Science. 37(4). 499–518. 45 indexed citations
15.
Meyer, Mary C.. (2003). An Evolutionary Algorithm With Applications to Statistics. Journal of Computational and Graphical Statistics. 12(2). 265–281. 6 indexed citations
16.
Meyer, Mary C.. (2002). Uncounted Votes: Does Voting Equipment Matter?. CHANCE. 15(4). 33–38. 4 indexed citations
17.
Henderson, Michael T. & Mary C. Meyer. (2001). Exploring the Confidence Interval for a Binomial Parameter in a First Course in Statistical Computing. The American Statistician. 55(4). 337–344. 15 indexed citations
18.
Meyer, Mary C.. (1999). A comparison of nonparametric shape constrained bioassay estimators. Statistics & Probability Letters. 42(3). 267–274. 1 indexed citations
19.
Meyer, Mary C.. (1999). An extension of the mixed primal–dual bases algorithm to the case of more constraints than dimensions. Journal of Statistical Planning and Inference. 81(1). 13–31. 40 indexed citations
20.
Meyer, Mary C.. (1996). Shape-restricted inference with applications to nonparametric regression, smooth nonparametric function estimation, and density estimation.. Deep Blue (University of Michigan). 6 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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