Mayer Alvo

114 total papers · 1.1k total citations
57 papers, 661 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 661 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, Rémi Vaillancourt, Tharmalingam Ratnarajah, Xin Gao, Philip L. H. Yu, Paul D. Feigin, Gang Li, Jie Chen, E.C. Voldner and M. Goldberg 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 604 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mayer Alvo 244 120 103 102 74 57 661
Erricos John Kontoghiorghes 224 0.9× 83 0.7× 193 1.9× 53 0.5× 44 0.6× 62 730
Leo A. Aroian 248 1.0× 112 0.9× 124 1.2× 44 0.4× 47 0.6× 43 715
Jin Zhang 365 1.5× 78 0.7× 117 1.1× 73 0.7× 46 0.6× 29 729
Pushpa N. Rathie 168 0.7× 61 0.5× 136 1.3× 40 0.4× 32 0.4× 89 723
Donald R. Barr 226 0.9× 75 0.6× 92 0.9× 37 0.4× 44 0.6× 38 554
Vartan Choulakian 257 1.1× 55 0.5× 118 1.1× 46 0.5× 70 0.9× 48 760
Jagdish K. Patel 200 0.8× 86 0.7× 104 1.0× 34 0.3× 44 0.6× 32 731
Elliot A. Tanis 219 0.9× 69 0.6× 106 1.0× 30 0.3× 36 0.5× 19 742
Jaromı́r Antoch 245 1.0× 70 0.6× 126 1.2× 42 0.4× 27 0.4× 45 793
Anoop Chaturvedi 153 0.6× 31 0.3× 132 1.3× 131 1.3× 96 1.3× 126 726

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

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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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