Maria Kateri

132 total papers · 3.2k total citations
69 papers, 1.0k citations indexed

About

Maria Kateri is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Maria Kateri has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Maria Kateri's work include Statistical Methods and Bayesian Inference (25 papers), Statistical Distribution Estimation and Applications (16 papers) and Probabilistic and Robust Engineering Design (14 papers). Maria Kateri is often cited by papers focused on Statistical Methods and Bayesian Inference (25 papers), Statistical Distribution Estimation and Applications (16 papers) and Probabilistic and Robust Engineering Design (14 papers). Maria Kateri collaborates with scholars based in Germany, Greece and Canada. Maria Kateri's co-authors include N. Balakrishnan, Alan Agresti, Udo Kamps, Anestis Touloumis, Takis Papaioannou, Darren W. Logan, Sandeepa Dey, Tobias Ackels, Eric Beutner and Lisa Stowers and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Maria Kateri

64 papers receiving 993 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Kateri 528 286 160 117 112 69 1.0k
William C. Guenther 398 0.8× 297 1.0× 24 0.1× 8 0.1× 84 0.8× 87 908
Edward L. Boone 200 0.4× 108 0.4× 46 0.3× 2 0.0× 77 0.7× 72 1.1k
Joachim Kunert 352 0.7× 117 0.4× 4 0.0× 36 0.3× 28 0.3× 81 1.2k
David F. Percy 149 0.3× 92 0.3× 241 1.5× 4 0.0× 30 0.3× 49 801
Bruno Scarpa 113 0.2× 26 0.1× 8 0.1× 162 1.4× 72 0.6× 86 1.1k
Vicente Núñez‐Antón 363 0.7× 107 0.4× 15 0.1× 4 0.0× 71 0.6× 55 1.1k
Dieter Rasch 239 0.5× 82 0.3× 9 0.1× 5 0.0× 72 0.6× 86 1.1k
Dror Rom 345 0.7× 56 0.2× 3 0.0× 22 0.2× 52 0.5× 17 1.0k
Ian Saunders 136 0.3× 47 0.2× 4 0.0× 6 0.1× 80 0.7× 58 1.2k
Jérôme Saracco 306 0.6× 40 0.1× 9 0.1× 3 0.0× 176 1.6× 74 951

Countries citing papers authored by Maria Kateri

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kateri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kateri

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kateri. A scholar is included among the top collaborators of Maria Kateri 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 Maria Kateri. Maria Kateri 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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2026