Massimiliano Barolo

3.3k total citations
136 papers, 2.5k citations indexed

About

Massimiliano Barolo is a scholar working on Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering. According to data from OpenAlex, Massimiliano Barolo has authored 136 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 32 papers in Analytical Chemistry and 30 papers in Mechanical Engineering. Recurrent topics in Massimiliano Barolo's work include Fault Detection and Control Systems (56 papers), Advanced Control Systems Optimization (48 papers) and Spectroscopy and Chemometric Analyses (32 papers). Massimiliano Barolo is often cited by papers focused on Fault Detection and Control Systems (56 papers), Advanced Control Systems Optimization (48 papers) and Spectroscopy and Chemometric Analyses (32 papers). Massimiliano Barolo collaborates with scholars based in Italy, United States and United Kingdom. Massimiliano Barolo's co-authors include Fabrizio Bezzo, Pierantonio Facco, Dale E. Seborg, Federico Galvanin, Emanuele Tomba, Howard Zisser, Salvador García‐Muñoz, Alberto Bertucco, Lois Jovanovič and Sandro Macchietto and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Industrial & Engineering Chemistry Research and International Journal of Pharmaceutics.

In The Last Decade

Massimiliano Barolo

132 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimiliano Barolo Italy 28 1.2k 482 399 394 352 136 2.5k
Sandro Macchietto United Kingdom 34 1.9k 1.5× 206 0.4× 511 1.3× 692 1.8× 435 1.2× 129 3.9k
N.L. Ricker United States 21 2.0k 1.6× 301 0.6× 503 1.3× 148 0.4× 100 0.3× 47 2.5k
Zhiqiang Ge China 30 875 0.7× 185 0.4× 397 1.0× 136 0.3× 305 0.9× 57 1.8k
Zhixing Cao China 27 645 0.5× 57 0.1× 188 0.5× 93 0.2× 858 2.4× 77 2.0k
B. Srinivasan Switzerland 23 855 0.7× 23 0.0× 70 0.2× 151 0.4× 285 0.8× 116 2.4k
Thomas E. Marlin Canada 16 2.2k 1.7× 479 1.0× 630 1.6× 98 0.2× 57 0.2× 45 2.5k
Prashant Mhaskar Canada 36 3.8k 3.1× 145 0.3× 591 1.5× 149 0.4× 242 0.7× 190 4.6k
Dong Hwan Lee South Korea 24 738 0.6× 41 0.1× 56 0.1× 104 0.3× 199 0.6× 109 2.1k
Bernd Hitzmann Germany 31 437 0.3× 750 1.6× 145 0.4× 917 2.3× 1.5k 4.2× 232 3.5k
Jules Thibault Canada 35 740 0.6× 239 0.5× 1.8k 4.6× 2.0k 5.0× 782 2.2× 204 4.7k

Countries citing papers authored by Massimiliano Barolo

Since Specialization
Citations

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

Fields of papers citing papers by Massimiliano Barolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimiliano Barolo

This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Barolo. A scholar is included among the top collaborators of Massimiliano Barolo 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 Massimiliano Barolo. Massimiliano Barolo 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
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Beyramysoltan, Samira, et al.. (2025). On the impact of mechanistic model quality and data availability in hybrid model development. Computers & Chemical Engineering. 206. 109536–109536.
3.
Facco, Pierantonio, et al.. (2024). Accelerating pharmaceutical tablet development by transfer of powder compaction equipment across types and scales. International Journal of Pharmaceutics. 667(Pt B). 124904–124904. 2 indexed citations
4.
Facco, Pierantonio, et al.. (2024). Systematizing product design by latent-variable modeling – A unifying framework for the formulation and solution of PLS model inversion problems. Chemical Engineering Science. 299. 120505–120505. 1 indexed citations
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Facco, Pierantonio, et al.. (2022). Data‐driven tools for the optimization of a pharmaceutical process through its knowledge‐driven model. AIChE Journal. 69(4). 7 indexed citations
7.
Barolo, Massimiliano, et al.. (2022). A review on the modernization of pharmaceutical development and manufacturing – Trends, perspectives, and the role of mathematical modeling. International Journal of Pharmaceutics. 620. 121715–121715. 74 indexed citations
8.
Pengo, Vittorio, et al.. (2017). Assessing the relative potency of (S)- and (R)-warfarin with a new PK-PD model, in relation to VKORC1 genotypes. European Journal of Clinical Pharmacology. 73(6). 699–707. 10 indexed citations
9.
Galvanin, Federico, et al.. (2015). Optimal design of experiments for parameter identification in electrodialysis models. Process Safety and Environmental Protection. 105. 107–119. 29 indexed citations
10.
Galvanin, Federico, et al.. (2013). A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models. Journal of Pharmacokinetics and Pharmacodynamics. 40(4). 451–467. 32 indexed citations
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Tomba, Emanuele, Pierantonio Facco, Fabrizio Bezzo, & Massimiliano Barolo. (2013). Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing: A review. International Journal of Pharmaceutics. 457(1). 283–297. 74 indexed citations
13.
Tomba, Emanuele, Pierantonio Facco, Antonello Barresi, et al.. (2013). Transfer of a nanoparticle product between different mixers using latent variable model inversion. AIChE Journal. 60(1). 123–135. 11 indexed citations
14.
Facco, Pierantonio, Andrea Masiero, Fabrizio Bezzo, Massimiliano Barolo, & Alessandro Beghi. (2011). Improved multivariate image analysis for product quality monitoring. Chemometrics and Intelligent Laboratory Systems. 109(1). 42–50. 8 indexed citations
15.
Galvanin, Federico, Fabrizio Bezzo, & Massimiliano Barolo. (2010). On the optimal design of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. 321–326. 1 indexed citations
16.
Barolo, Massimiliano, et al.. (2006). An Improved PID Switching Control Strategy for Type 1 Diabetes. PubMed. 2006. 5041–5044. 21 indexed citations
17.
Bezzo, Fabrizio & Massimiliano Barolo. (2004). Understanding the dynamic behaviour of middle-vessel continuous distillation columns. Chemical Engineering Science. 60(2). 553–563. 7 indexed citations
18.
Barolo, Massimiliano, et al.. (2000). Improving dual composition control in continuous distillation by a novel column design. AIChE Journal. 46(1). 146–159. 11 indexed citations
19.
Barolo, Massimiliano, et al.. (1996). Some issues in the design and operation of a batch distillation column with a middle vessel. Computers & Chemical Engineering. 20. S37–S42. 27 indexed citations
20.
Barolo, Massimiliano, et al.. (1995). A method for the prediction of vapour-liquid equilibria of refrigerant mixtures at low and moderate pressure. International Journal of Refrigeration. 18(8). 550–556. 10 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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