Luigi Salmaso

4.6k total citations
152 papers, 2.9k citations indexed

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 152 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Statistics and Probability, 39 papers in Management Science and Operations Research and 16 papers in Artificial Intelligence. Recurrent topics in Luigi Salmaso's work include Statistical Methods in Clinical Trials (50 papers), Optimal Experimental Design Methods (35 papers) and Advanced Statistical Methods and Models (21 papers). Luigi Salmaso is often cited by papers focused on Statistical Methods in Clinical Trials (50 papers), Optimal Experimental Design Methods (35 papers) and Advanced Statistical Methods and Models (21 papers). Luigi Salmaso collaborates with scholars based in Italy, United States and Germany. Luigi Salmaso's co-authors include Fortunato Pesarin, Livio Corain, Rosa Arboretti, Carla Rampichini, Domenico Piccolo, Livio Finos, Paola Monari, Aldo Solari, Stefano Bonnini and Dario Basso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Luigi Salmaso

134 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luigi Salmaso Italy 26 940 424 310 178 174 152 2.9k
Shlomo S. Sawilowsky United States 25 639 0.7× 365 0.9× 199 0.6× 199 1.1× 157 0.9× 105 4.5k
Edward H. Ip United States 36 394 0.4× 374 0.9× 412 1.3× 44 0.2× 281 1.6× 238 5.6k
Gillian Z. Heller Australia 28 377 0.4× 186 0.4× 244 0.8× 68 0.4× 73 0.4× 121 3.4k
Subir Ghosh United States 14 1.3k 1.3× 536 1.3× 500 1.6× 230 1.3× 172 1.0× 79 4.9k
Yulia R. Gel United States 24 269 0.3× 149 0.4× 360 1.2× 66 0.4× 203 1.2× 110 3.2k
Alireza Daneshkhah United Kingdom 25 262 0.3× 249 0.6× 370 1.2× 299 1.7× 166 1.0× 96 3.5k
Daniel Schwartz United States 32 301 0.3× 55 0.1× 267 0.9× 268 1.5× 282 1.6× 119 4.8k
James V. Bradley United States 14 635 0.7× 354 0.8× 103 0.3× 184 1.0× 78 0.4× 41 2.2k
H. J. Keselman Canada 38 2.1k 2.2× 1.1k 2.5× 244 0.8× 519 2.9× 171 1.0× 149 6.1k
Rose Baker United Kingdom 35 315 0.3× 101 0.2× 94 0.3× 333 1.9× 186 1.1× 186 3.9k

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).

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.

Co-authorship network of co-authors of Luigi Salmaso

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Salmaso. A scholar is included among the top collaborators of Luigi Salmaso 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 Luigi Salmaso. Luigi Salmaso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mengato, Daniele, et al.. (2025). Clinical, microbiological, and laboratory predictors of on- and off-label dalbavancin treatment failure. Journal of Global Antimicrobial Resistance. 43. 337–343.
2.
D’Urso, Pierpaolo, et al.. (2024). Cub model-based clustering of Likert-type data with a tourist satisfaction application. Annals of Operations Research.
3.
Lavagnolo, Maria Cristina, et al.. (2024). Hydroxy‐Carboxylic Acids as Green and Abundant Ligands for Sustainable Recovery of Copper from a Multimetallic Powder: A Proof of Concept. ChemSusChem. 18(2). e202401389–e202401389. 1 indexed citations
4.
Campbell, Stuart I., et al.. (2024). A Data-Driven Approach to Understanding Customer Satisfaction. Research Padua Archive (University of Padua). 5.
5.
Salmaso, Luigi, et al.. (2023). Laser Welding of Nitinol Thin Foils: Mechanical Properties and Microstructure Depending on Process Parameters. Metallurgical and Materials Transactions A. 54(3). 998–1009. 1 indexed citations
6.
Lamberti, Francesco, et al.. (2022). Design of Experiment: A Rational and Still Unexplored Approach to Inorganic Materials’ Synthesis. SHILAP Revista de lepidopterología. 3(1). 114–130. 13 indexed citations
7.
Arboretti, Rosa, et al.. (2022). A Multi-Aspect Permutation Test for Goodness-of-Fit Problems. SHILAP Revista de lepidopterología. 5(2). 572–582. 3 indexed citations
8.
Bertocco, M., et al.. (2019). Impact of limestone incrustation on energy efficiency of washing machine. Energy Efficiency. 13(1). 1–15. 1 indexed citations
9.
Pesarin, Fortunato & Luigi Salmaso. (2016). Permutation Tests for Univariate and Multivariate Ordered Categorical Data. SHILAP Revista de lepidopterología. 4 indexed citations
10.
Salmaso, Luigi, et al.. (2014). Topics in Statistical Simulation. Springer proceedings in mathematics & statistics. 6 indexed citations
11.
12.
Zirilli, Agata, et al.. (2010). Effects of cigarette smoking on the evolution of hearing loss caused by industrial noise. Health. 2(10). 1163–1169. 7 indexed citations
13.
Pesarin, Fortunato & Luigi Salmaso. (2009). Finite-sample consistency of combination-based permutation tests with application to repeated measures designs. Journal of nonparametric statistics. 22(5). 669–684. 50 indexed citations
14.
Bernardini, Alberto, Luigi Salmaso, & Aldo Solari. (2008). Statistical evaluation of vulnerability and expected seismic damage of residential buildings in the Veneto-Friuli area (NE Italy). BOA (University of Milano-Bicocca). 49. 427–446. 8 indexed citations
15.
Mozzanega, Bruno, Luigi Salmaso, Renzo De Toni, et al.. (2007). Oral 17β-estradiol and sequential progesterone in menopause: Effects on insulin-like growth factors and their binding proteins. Gynecological Endocrinology. 23(1). 50–57. 5 indexed citations
16.
Arboretti, Rosa, Marco Marozzi, & Luigi Salmaso. (2005). Nonparametric Pooling And Testing Of Preference Ratings For Full-Profile Conjoint Analysis Experiments. Journal of Modern Applied Statistical Methods. 4(2). 545–552. 3 indexed citations
17.
Corain, Livio & Luigi Salmaso. (2004). Multivariate And Multistrata Nonparametric Tests: The NonParametric Combination Method. Journal of Modern Applied Statistical Methods. 3(2). 443–461. 25 indexed citations
18.
Salmaso, Luigi. (2003). Synchronized Permutation Tests in 2 k Factorial Designs. Communication in Statistics- Theory and Methods. 32(7). 1419–1437. 17 indexed citations
19.
Pesarin, Fortunato, et al.. (2001). A discussion on multi-way ANOVA using a permutation approach. Statistica. 61(1). 15–26. 1 indexed citations
20.
Castelnuovo, Augusto Di, et al.. (2000). Test di permutazione multidimensionali in problemi d’inferenza isotonica: un’applicazione alla genetica. Statistica. 60(4). 691–700. 4 indexed citations

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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