Mariela Sued

68 total papers · 1.1k total citations
31 papers, 349 citations indexed

About

Mariela Sued is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Mariela Sued has authored 31 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Mariela Sued's work include Statistical Methods and Inference (18 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Mariela Sued is often cited by papers focused on Statistical Methods and Inference (18 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Mariela Sued collaborates with scholars based in Argentina, Brazil and United States. Mariela Sued's co-authors include James M. Robins, Andrea Rotnitzky, Daniela Rodríguez, Frédéric Ferraty, Philippe Vieu, Leonardo Boechi, Vı́ctor J. Yohai, Graciela Boente, Darío A. Estrı́n and María C. De Mársico and has published in prestigious journals such as Bioinformatics, FEBS Letters and Biometrika.

In The Last Decade

Mariela Sued

29 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Mariela Sued	188	55	40	28	27	31	349
Andrea Ongaro	85 0.5×	158 2.9×	109 2.7×	2 0.1×	10 0.4×	31	354
Joanna Tyrcha	38 0.2×	82 1.5×	55 1.4×	11 0.4×	33 1.2×	25	362
Roger Tribe	73 0.4×	74 1.3×	36 0.9×	5 0.2×	18 0.7×	32	361
Agostino Nobile	114 0.6×	48 0.9×	114 2.9×		60 2.2×	18	325
Riccardo Gatto	128 0.7×	24 0.4×	106 2.6×	3 0.1×	15 0.6×	45	314
Sergio Bacallado	33 0.2×	227 4.1×	42 1.1×	4 0.1×	10 0.4×	19	352
Francisco J. Caro‐Lopera	90 0.5×	19 0.3×	22 0.6×		7 0.3×	47	326
Edith Seier	77 0.4×	39 0.7×	14 0.3×	2 0.1×	10 0.4×	28	324
L. H. C. Tippett	16 0.1×	41 0.7×	13 0.3×	7 0.3×	29 1.1×	31	351
Vincent Bansaye	98 0.5×	34 0.6×	41 1.0×	4 0.1×	9 0.3×	40	376

Countries citing papers authored by Mariela Sued

Since Specialization

Citations

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

Fields of papers citing papers by Mariela Sued

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariela Sued

This figure shows the co-authorship network connecting the top 25 collaborators of Mariela Sued. A scholar is included among the top collaborators of Mariela Sued 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 Mariela Sued. Mariela Sued 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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