Mayer Alvo

1.1k total citations
57 papers, 662 citations indexed

About

Mayer Alvo is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Mayer Alvo has authored 57 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 18 papers in Management Science and Operations Research and 13 papers in Artificial Intelligence. Recurrent topics in Mayer Alvo's work include Advanced Statistical Methods and Models (16 papers), Statistical Methods in Clinical Trials (11 papers) and Statistical Methods and Inference (11 papers). Mayer Alvo is often cited by papers focused on Advanced Statistical Methods and Models (16 papers), Statistical Methods in Clinical Trials (11 papers) and Statistical Methods and Inference (11 papers). Mayer Alvo collaborates with scholars based in Canada, Hong Kong and United States. Mayer Alvo's co-authors include Paul Cabilio, Tharmalingam Ratnarajah, Rémi Vaillancourt, Xin Gao, Philip L. H. Yu, Paul D. Feigin, Gang Li, Jie Chen, D.G. Goodenough and E.C. Voldner and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Mayer Alvo

56 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayer Alvo Canada 15 244 120 102 102 74 57 662
Jens Breckling Australia 9 189 0.8× 63 0.5× 111 1.1× 59 0.6× 30 0.4× 10 567
Ravindra Khattree United States 15 356 1.5× 149 1.2× 123 1.2× 52 0.5× 22 0.3× 83 983
Vartan Choulakian Canada 13 256 1.0× 55 0.5× 119 1.2× 46 0.5× 70 0.9× 48 764
Tamás F. Móri Hungary 13 196 0.8× 128 1.1× 132 1.3× 40 0.4× 41 0.6× 77 831
Dost Muhammad Khan Pakistan 18 172 0.7× 117 1.0× 151 1.5× 66 0.6× 24 0.3× 76 902
Anoop Chaturvedi India 13 153 0.6× 32 0.3× 134 1.3× 130 1.3× 98 1.3× 127 737
Jaromı́r Antoch Czechia 13 247 1.0× 70 0.6× 127 1.2× 43 0.4× 27 0.4× 45 799
Laurie Davies Germany 10 347 1.4× 45 0.4× 147 1.4× 97 1.0× 57 0.8× 26 866
T. Pham‐Gia Canada 16 526 2.2× 161 1.3× 276 2.7× 51 0.5× 45 0.6× 58 1.0k
Leo A. Aroian United States 13 248 1.0× 112 0.9× 124 1.2× 44 0.4× 47 0.6× 43 716

Countries citing papers authored by Mayer Alvo

Since Specialization
Citations

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

Fields of papers citing papers by Mayer Alvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayer Alvo

This figure shows the co-authorship network connecting the top 25 collaborators of Mayer Alvo. A scholar is included among the top collaborators of Mayer Alvo 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 Mayer Alvo. Mayer Alvo 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.
Alvo, Mayer, et al.. (2023). COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models. Mathematics. 11(6). 1359–1359. 4 indexed citations
2.
Abbas‐Aghababazadeh, Farnoosh, Mayer Alvo, & David R. Bickel. (2018). Estimating the local false discovery rate via a bootstrap solution to the reference class problem. PLoS ONE. 13(11). e0206902–e0206902. 1 indexed citations
3.
Alvo, Mayer & Philip L. H. Yu. (2018). A Parametric Approach to Nonparametric Statistics. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
4.
Alvo, Mayer, Tze Leung Lai, & Philip L. H. Yu. (2017). Parametric embedding of nonparametric inference problems. Journal of Statistical Theory and Practice. 12(1). 151–164. 1 indexed citations
5.
Yu, Philip L. H., et al.. (2016). Nonparametric Rank Tests for Independence in Opinion Surveys. Austrian Journal of Statistics. 31(4). 1 indexed citations
6.
Alvo, Mayer & Philip L. H. Yu. (2014). Statistical Methods for Ranking Data. CERN Document Server (European Organization for Nuclear Research). 61 indexed citations
7.
Alvo, Mayer, et al.. (2013). HURST EXPONENTS FOR NON-PRECISE DATA. Iranian journal of fuzzy systems. 10(2). 73–81. 1 indexed citations
8.
Alvo, Mayer, Zhongzhu Liu, Andrew Williams, & Carole L. Yauk. (2010). Testing for mean and correlation changes in microarray experiments: an application for pathway analysis. BMC Bioinformatics. 11(1). 60–60. 20 indexed citations
9.
Alvo, Mayer. (2008). Nonparametric tests of hypotheses for umbrella alternatives. Canadian Journal of Statistics. 36(1). 143–156. 4 indexed citations
10.
Gao, Xin & Mayer Alvo. (2005). A nonparametric test for interaction in two-way layouts. Canadian Journal of Statistics. 33(4). 529–543. 9 indexed citations
11.
Gao, Xin & Mayer Alvo. (2005). A Unified Nonparametric Approach for Unbalanced Factorial Designs. Journal of the American Statistical Association. 100(471). 926–941. 16 indexed citations
12.
Alvo, Mayer & Paul Cabilio. (1999). A general rank based approach to the analysis of block data. Communication in Statistics- Theory and Methods. 28(1). 197–215. 3 indexed citations
13.
Alvo, Mayer & Paul Cabilio. (1996). Analysis of incomplete blocks for rankings. Statistics & Probability Letters. 29(2). 177–184. 2 indexed citations
14.
Alvo, Mayer & Paul Cabilio. (1995). Approximate and exact distributions of rank tests for balanced incomplete block designs. Communication in Statistics- Theory and Methods. 24(12). 3073–3121. 3 indexed citations
15.
Alvo, Mayer & Paul Cabilio. (1995). Rank correlation methods for missing data. Canadian Journal of Statistics. 23(4). 345–358. 20 indexed citations
16.
Voldner, E.C. & Mayer Alvo. (1993). Estimation of wet deposition of sulfur, nitrogen, cadmium and lead to the Great Lakes. Environmental Science & Technology. 27(2). 292–298. 4 indexed citations
17.
Alvo, Mayer & Paul Cabilio. (1989). Sampling designs for the estimation of the difference between two means of a bivariate normal. Journal of Statistical Planning and Inference. 23(3). 353–369. 1 indexed citations
18.
Alvo, Mayer & Paul Cabilio. (1985). Average rank correlation statistics in the presence of ties. Communication in Statistics- Theory and Methods. 14(9). 2095–2108. 2 indexed citations
19.
Alvo, Mayer, Paul Cabilio, & Paul D. Feigin. (1981). A class of martingales with non-symmetric limit distributions. Probability Theory and Related Fields. 58(1). 87–93. 3 indexed citations
20.
Csörgő, Miklós & Mayer Alvo. (1970). Distribution results and power functions for Kac statistics. Annals of the Institute of Statistical Mathematics. 22(1). 257–260. 3 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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