Matteo Borrotti

735 total citations
20 papers, 482 citations indexed

About

Matteo Borrotti is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Matteo Borrotti has authored 20 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Matteo Borrotti's work include Optimal Experimental Design Methods (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Probabilistic and Robust Engineering Design (3 papers). Matteo Borrotti is often cited by papers focused on Optimal Experimental Design Methods (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Probabilistic and Robust Engineering Design (3 papers). Matteo Borrotti collaborates with scholars based in Italy, United Kingdom and Australia. Matteo Borrotti's co-authors include Irene Poli, Giorgio Lucarelli, Alessandro Baldi Antognini, Sara Contardi, Fabio Pizza, Fabio Cirignotta, Susanna Mondini, Barbara Mostacci, Maroussa Zagoraiou and Francesco Sambo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy and Buildings.

In The Last Decade

Matteo Borrotti

20 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Borrotti Italy 10 141 92 84 67 64 20 482
Luyu Liu China 17 50 0.4× 55 0.6× 89 1.1× 91 1.4× 59 0.9× 61 902
Emily Moberg United States 8 12 0.1× 23 0.3× 96 1.1× 44 0.7× 38 0.6× 17 678
Sung-Chul Hong South Korea 9 114 0.8× 77 0.8× 41 0.5× 15 0.2× 120 1.9× 47 428
Shaochun Li China 11 53 0.4× 46 0.5× 78 0.9× 14 0.2× 7 0.1× 31 396
Trevor J. Davis Canada 8 14 0.1× 17 0.2× 75 0.9× 19 0.3× 50 0.8× 9 356
G. Padmanabhan United States 14 28 0.2× 27 0.3× 226 2.7× 4 0.1× 74 1.2× 66 761
Frank Krüger Germany 16 40 0.3× 24 0.3× 41 0.5× 3 0.0× 67 1.0× 65 785
Junyi Li China 17 17 0.1× 39 0.4× 85 1.0× 173 2.6× 30 0.5× 61 809
Da Yang China 14 22 0.2× 13 0.1× 67 0.8× 102 1.5× 97 1.5× 35 515
D. Bergmann United States 11 89 0.6× 370 4.0× 300 3.6× 8 0.1× 74 1.2× 22 685

Countries citing papers authored by Matteo Borrotti

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Borrotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Borrotti

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Borrotti. A scholar is included among the top collaborators of Matteo Borrotti 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 Matteo Borrotti. Matteo Borrotti 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.
2.
Borrotti, Matteo, et al.. (2024). Dealing with uncertainty: Balancing exploration and exploitation in deep recurrent reinforcement learning. Knowledge-Based Systems. 293. 111663–111663. 6 indexed citations
3.
Borrotti, Matteo, et al.. (2023). Using accounting information to predict aggressive tax location decisions by European groups. Economic Systems. 47(3). 101090–101090. 1 indexed citations
4.
Borrotti, Matteo, Francesco Sambo, & Kalliopi Mylona. (2022). Multi-objective optimisation of split-plot designs. Econometrics and Statistics. 28. 163–172. 2 indexed citations
5.
Candelieri, Antonio, et al.. (2022). Bayesian optimization and deep learning for steering wheel angle prediction. Scientific Reports. 12(1). 8739–8739. 10 indexed citations
6.
Lucarelli, Giorgio & Matteo Borrotti. (2020). A deep Q-learning portfolio management framework for the cryptocurrency market. Neural Computing and Applications. 32(23). 17229–17244. 39 indexed citations
7.
Borrotti, Matteo, et al.. (2017). 実験の設計による電気紡糸における欠陥最小化と特性制御【Powered by NICT】. Journal of Applied Polymer Science. 134(17). 44740. 1 indexed citations
8.
Borrotti, Matteo, et al.. (2017). Defect minimization and feature control in electrospinning through design of experiments. Journal of Applied Polymer Science. 134(17). 11 indexed citations
9.
Borrotti, Matteo, Francesco Sambo, Kalliopi Mylona, & Steven G. Gilmour. (2016). A multi-objective coordinate-exchange two-phase local search algorithm for multi-stratum experiments. Statistics and Computing. 27(2). 469–481. 7 indexed citations
10.
Borrotti, Matteo, Giovanni Minervini, Davide De Lucrezia, & Irene Poli. (2016). Naïve Bayes ant colony optimization for designing high dimensional experiments. Applied Soft Computing. 49. 259–268. 8 indexed citations
11.
Borrotti, Matteo, et al.. (2015). A computer‐aided methodology for the optimization of electrostatic separation processes in recycling. Applied Stochastic Models in Business and Industry. 32(1). 133–148. 4 indexed citations
12.
Zucchetta, Matteo, et al.. (2015). A Land-Use Perspective for Birdstrike Risk Assessment: The Attraction Risk Index. PLoS ONE. 10(6). e0128363–e0128363. 22 indexed citations
13.
Borrotti, Matteo, et al.. (2015). Optimization of thermophilictrans‐isoprenyl diphosphate synthase expression inEscherichia coliby response surface methodology. Biotechnology and Applied Biochemistry. 64(1). 70–78. 4 indexed citations
14.
Zennaro, Piero, Natalie Kehrwald, Joseph R. McConnell, et al.. (2014). Fire in ice: two millennia of boreal forest fire history from the Greenland NEEM ice core. Climate of the past. 10(5). 1905–1924. 101 indexed citations
15.
Borrotti, Matteo, et al.. (2014). Designing Lead Optimisation of MMP-12 Inhibitors. Computational and Mathematical Methods in Medicine. 2014. 1–8. 10 indexed citations
16.
Ferrari, Davide, et al.. (2013). Response improvement in complex experiments by co-information composite likelihood optimization. Statistics and Computing. 24(3). 351–363. 5 indexed citations
17.
Sambo, Francesco, Matteo Borrotti, & Kalliopi Mylona. (2013). A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments. Computational Statistics & Data Analysis. 71. 1193–1207. 21 indexed citations
18.
Borrotti, Matteo, et al.. (2011). Optimised design of energy efficient building façades via Evolutionary Neural Networks. Energy and Buildings. 43(12). 3297–3302. 72 indexed citations
19.
Pizza, Fabio, Sara Contardi, Alessandro Baldi Antognini, et al.. (2010). Sleep Quality and Motor Vehicle Crashes in Adolescents. Journal of Clinical Sleep Medicine. 6(1). 41–45. 77 indexed citations
20.
Pizza, Fabio, Sara Contardi, Alessandro Baldi Antognini, et al.. (2010). Sleep quality and motor vehicle crashes in adolescents.. PubMed. 6(1). 41–5. 79 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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