Maria L. Rizzo

29 papers and 3.4k indexed citations i.

About

Maria L. Rizzo is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Maria L. Rizzo has authored 29 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 4 papers in Finance. Recurrent topics in Maria L. Rizzo’s work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Maria L. Rizzo is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Maria L. Rizzo collaborates with scholars based in United States, Hungary and Russia. Maria L. Rizzo's co-authors include Gábor J. Székely, Н. К. Бакиров, E.C. Faulkner, Jim Doherty, Paul B. Robbins, Margarita Udall, Kimberly Andrews Espy, Hua Fang, Zhenyuan Wang and Honggang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Annals of Statistics and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Maria L. Rizzo i

Fields of papers citing papers by Maria L. Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria L. Rizzo. 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 Maria L. Rizzo. The network helps show where Maria L. Rizzo may publish in the future.

Countries citing papers authored by Maria L. Rizzo

Since Specialization
Citations

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

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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