Roberto Fontana

445 total citations
38 papers, 235 citations indexed

About

Roberto Fontana is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Roberto Fontana has authored 38 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 13 papers in Computational Theory and Mathematics and 10 papers in Statistics and Probability. Recurrent topics in Roberto Fontana's work include Optimal Experimental Design Methods (17 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Statistical Methods in Clinical Trials (8 papers). Roberto Fontana is often cited by papers focused on Optimal Experimental Design Methods (17 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Statistical Methods in Clinical Trials (8 papers). Roberto Fontana collaborates with scholars based in Italy, Germany and United Kingdom. Roberto Fontana's co-authors include Giovanni Pistone, Maria Piera Rogantin, Patrizia Semeraro, Luigi Salmaso, Pietro Parodi, Rosa Arboretti, Giorgio Chiandussi, Cristina Coscia, Fabio Rapallo and Guy Lebanon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and Computational Statistics & Data Analysis.

In The Last Decade

Roberto Fontana

36 papers receiving 217 citations

Peers

Roberto Fontana
Comparison fields: 5 of 84
  • Management Science and Operations Research 101
  • Computational Theory and Mathematics 71
  • Statistics and Probability 50
  • Electrical and Electronic Engineering 47
  • Industrial and Manufacturing Engineering 25
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Citations per field, relative to Roberto Fontana
Roberto Fontana · 1×
Citations per year, relative to Roberto Fontana
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Countries citing papers authored by Roberto Fontana

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Fontana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Fontana

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Fontana. A scholar is included among the top collaborators of Roberto Fontana 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 Roberto Fontana. Roberto Fontana 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
# Work Indexed citations
1 20
2 1
3 2
4 3
5 4
6 10
7 9
8
Market Basket Analysis for studying cultural Consumer Behaviour: AMTP Card-Holders
7
9 3
10
Aberration of three-level factorial designs and the Gini index
1
11 1
12 2
13
Sensitivity Analysis of Deep Drawing Process Control Parameters
0
14 4
15 9
16
Algebraic strata for non symmetrical orthogonalfractional factorial designs and application
3
17 2
18 30
19
Statistical models for tourism flows estimation.
0
20
Empirical modelling of diesel engine performance for robust engineering design
3

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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