Eva Riccomagno

40 papers and 460 indexed citations i.

About

Eva Riccomagno is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Eva Riccomagno has authored 40 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 11 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Eva Riccomagno’s work include Polynomial and algebraic computation (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Eva Riccomagno is often cited by papers focused on Polynomial and algebraic computation (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Eva Riccomagno collaborates with scholars based in Italy, United Kingdom and Germany. Eva Riccomagno's co-authors include Henry P. Wynn, Ron Bates, R. Buck, Michael J. Chappell, Jim Q. Smith, Rainer Schwabe, Giovanni Pistone, Lisa J. White, Sérgio Martinoia and Shmuel Onn and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Eva Riccomagno i

Fields of papers citing papers by Eva Riccomagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Riccomagno

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025