Marcela Svarc

13 papers and 230 indexed citations i.

About

Marcela Svarc is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Marcela Svarc has authored 13 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Marcela Svarc’s work include Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (4 papers). Marcela Svarc is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (4 papers). Marcela Svarc collaborates with scholars based in Argentina, Uruguay and Spain. Marcela Svarc's co-authors include Ricardo Fraiman, Ana Justel, José R. Berrendero, Badih Ghattas, Germán Caruso, Walter Sosa‐Escudero, Ernesto O. Cristallini, Jesús E. Garćıa, Walter Sosa Escudero and Antonio Galves and has published in prestigious journals such as Journal of the American Statistical Association, Computational Statistics & Data Analysis and Journal of Geophysical Research Solid Earth.

In The Last Decade

Co-authorship network of co-authors of Marcela Svarc i

Fields of papers citing papers by Marcela Svarc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcela Svarc

Since Specialization
Citations

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