Luigi Salmaso

121 papers and 2.1k indexed citations i.

About

Luigi Salmaso is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Luigi Salmaso has authored 121 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 38 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Luigi Salmaso’s work include Statistical Methods in Clinical Trials (50 papers), Optimal Experimental Design Methods (34 papers) and Advanced Statistical Methods and Models (20 papers). Luigi Salmaso is often cited by papers focused on Statistical Methods in Clinical Trials (50 papers), Optimal Experimental Design Methods (34 papers) and Advanced Statistical Methods and Models (20 papers). Luigi Salmaso collaborates with scholars based in Italy, United States and Russia. Luigi Salmaso's co-authors include Fortunato Pesarin, Livio Corain, Rosa Arboretti, Livio Finos, Stefano Bonnini, Aldo Solari, Dario Basso, Valeria De Giuli, Roberto Zecchin and Daniele Manfredini and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biometrics and International Journal of Heat and Mass Transfer.

In The Last Decade

Co-authorship network of co-authors of Luigi Salmaso i

Fields of papers citing papers by Luigi Salmaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luigi Salmaso

Since Specialization
Citations

This map shows the geographic impact of Luigi Salmaso'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 Luigi Salmaso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Salmaso 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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2025