Ricardo Leiva

54 total papers · 882 total citations
29 papers, 568 citations indexed

About

Ricardo Leiva is a scholar working on Statistics and Probability, Communication and Analytical Chemistry. According to data from OpenAlex, Ricardo Leiva has authored 29 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 6 papers in Communication and 4 papers in Analytical Chemistry. Recurrent topics in Ricardo Leiva's work include Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (5 papers). Ricardo Leiva is often cited by papers focused on Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (5 papers). Ricardo Leiva collaborates with scholars based in Argentina, United States and Spain. Ricardo Leiva's co-authors include Anuradha Roy, Catharina Wesseling, Sandra Peraza, Ramón Gárcía-Trabanino, Kristina Jakobsson, Aurora Aragón, Carl Gustaf Elinder, Christer Hogstedt, Annika Wernerson and Julia Wijkström and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Kidney Diseases and Computational Statistics & Data Analysis.

In The Last Decade

Ricardo Leiva

26 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Ricardo Leiva 185 137 124 54 49 29 568
Luciano Nieddu 143 0.8× 6 0.0× 14 0.1× 19 0.4× 73 1.5× 48 677
Dan Zhu 28 0.2× 8 0.1× 25 0.2× 49 0.9× 29 0.6× 84 519
Brenda MacGibbon 8 0.0× 30 0.2× 31 0.3× 7 0.1× 41 0.8× 32 539
Rebecca Kush 23 0.1× 19 0.1× 21 0.2× 3 0.1× 44 0.9× 30 690
Shuang Huang 36 0.2× 64 0.5× 71 0.6× 1 0.0× 60 1.2× 26 599
Filippo Domma 18 0.1× 9 0.1× 310 2.5× 97 1.8× 47 1.0× 40 595
Artur Akbarov 17 0.1× 5 0.0× 40 0.3× 6 0.1× 17 0.3× 19 606
Zaina P. Qureshi 47 0.3× 3 0.0× 81 0.7× 20 0.4× 18 0.4× 47 622
John Gill 253 1.4× 117 0.9× 1 0.0× 23 0.4× 15 0.3× 14 680
Akbar Fazeltabar Malekshah 17 0.1× 50 0.4× 5 0.0× 12 0.2× 120 2.4× 24 684

Countries citing papers authored by Ricardo Leiva

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Leiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Leiva

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