Diana Kelmansky

23 papers and 279 indexed citations i.

About

Diana Kelmansky is a scholar working on Pediatrics, Perinatology and Child Health, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Diana Kelmansky has authored 23 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 7 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in Diana Kelmansky’s work include Infant Development and Preterm Care (5 papers), Gene expression and cancer classification (4 papers) and Statistical Methods and Inference (4 papers). Diana Kelmansky is often cited by papers focused on Infant Development and Preterm Care (5 papers), Gene expression and cancer classification (4 papers) and Statistical Methods and Inference (4 papers). Diana Kelmansky collaborates with scholars based in Argentina, Chile and United States. Diana Kelmansky's co-authors include Horacio Lejarraga, Ethan Sahker, Laura Ación, Stephan Arndt, Mark van der Laan, Víctor Leiva, Noël Cameron, Fabián Tibaldi, Ana M. Bianco and Vı́ctor J. Yohai and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Diana Kelmansky i

Fields of papers citing papers by Diana Kelmansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diana Kelmansky

Since Specialization
Citations

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