Ettore Lanzarone

1.9k total citations
100 papers, 1.2k citations indexed

About

Ettore Lanzarone is a scholar working on Industrial and Manufacturing Engineering, Cardiology and Cardiovascular Medicine and Emergency Medical Services. According to data from OpenAlex, Ettore Lanzarone has authored 100 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 18 papers in Cardiology and Cardiovascular Medicine and 17 papers in Emergency Medical Services. Recurrent topics in Ettore Lanzarone's work include Healthcare Operations and Scheduling Optimization (15 papers), Transportation and Mobility Innovations (13 papers) and Vehicle Routing Optimization Methods (12 papers). Ettore Lanzarone is often cited by papers focused on Healthcare Operations and Scheduling Optimization (15 papers), Transportation and Mobility Innovations (13 papers) and Vehicle Routing Optimization Methods (12 papers). Ettore Lanzarone collaborates with scholars based in Italy, Canada and Türkiye. Ettore Lanzarone's co-authors include Andréa Matta, Giuliana Carello, Evren Şahin, Semih Yalçındağ, Diego Carrera, Giacomo Boracchi, Maria Laura Costantino, Ferdinando Auricchio, Válerie Bélanger and Michele Conti and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Ettore Lanzarone

89 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ettore Lanzarone Italy 18 400 262 203 182 174 100 1.2k
Amir Hajjam El Hassani France 17 395 1.0× 166 0.6× 34 0.2× 160 0.9× 99 0.6× 86 1.3k
Domenico Conforti Italy 22 169 0.4× 213 0.8× 341 1.7× 117 0.6× 155 0.9× 76 1.4k
Vincent Augusto France 20 368 0.9× 224 0.9× 363 1.8× 39 0.2× 98 0.6× 91 1.2k
Kevin Taaffe United States 20 160 0.4× 102 0.4× 327 1.6× 78 0.4× 138 0.8× 101 1.2k
Nadia Lahrichi Canada 15 741 1.9× 268 1.0× 229 1.1× 23 0.1× 99 0.6× 50 1.2k
Daniel Adelman United States 16 267 0.7× 223 0.9× 69 0.3× 20 0.1× 32 0.2× 32 1.0k
Ármann Ingólfsson Canada 21 524 1.3× 292 1.1× 339 1.7× 12 0.1× 639 3.7× 64 2.1k
Alain Guinet France 20 644 1.6× 276 1.1× 418 2.1× 35 0.2× 50 0.3× 55 1.4k
Yong‐Hong Kuo Hong Kong 21 596 1.5× 144 0.5× 193 1.0× 11 0.1× 85 0.5× 86 1.9k
Sharan Srinivas United States 20 352 0.9× 58 0.2× 142 0.7× 37 0.2× 111 0.6× 47 1.2k

Countries citing papers authored by Ettore Lanzarone

Since Specialization
Citations

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

Fields of papers citing papers by Ettore Lanzarone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ettore Lanzarone

This figure shows the co-authorship network connecting the top 25 collaborators of Ettore Lanzarone. A scholar is included among the top collaborators of Ettore Lanzarone 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 Ettore Lanzarone. Ettore Lanzarone 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.
Smet, Pieter, et al.. (2025). Robust personnel rostering: How accurate should absenteeism predictions be?. Journal of Scheduling. 29(1). 67–82.
2.
Lanzarone, Ettore, et al.. (2025). A decision support tool for the location, districting and dimensioning of Community Health Houses. Health Care Management Science. 28(4). 866–889.
3.
Rizzoni, Damiano, Ettore Lanzarone, Federico Lussana, et al.. (2025). The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI. Medical Physics. 52(7). e17995–e17995.
4.
Lussana, Federico, Ettore Lanzarone, Giulia Villa, et al.. (2025). Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease. Scientific Reports. 15(1). 16526–16526.
5.
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Lanzarone, Ettore, et al.. (2024). An ECG-based machine-learning approach for mortality risk assessment in a large European population. Journal of Electrocardiology. 88. 153850–153850. 1 indexed citations
7.
8.
Lanzarone, Ettore, et al.. (2024). A Benders decomposition approach for planning home blood donations. Flexible Services and Manufacturing Journal. 37(4). 1117–1147.
9.
Mazzanti, Chiara Maria, et al.. (2024). Iterative matheuristic for the biomedical sample transportation problem. Computers & Industrial Engineering. 192. 110196–110196. 2 indexed citations
10.
Bozzetto, Michela, et al.. (2024). A CFD-based framework to evaluate surgical alternatives in cerebral aneurysms. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 12(1). 1 indexed citations
11.
Scalco, Elisa, Silvia Pozzi, Giovanna Rizzo, & Ettore Lanzarone. (2024). Uncertainty quantification in multi‐class segmentation: Comparison between Bayesian and non‐Bayesian approaches in a clinical perspective. Medical Physics. 51(9). 6090–6102. 2 indexed citations
12.
13.
Albano, Giovanni, et al.. (2023). Learning Curve Analysis of Robotic-Assisted Mitral Valve Repair with COVID-19 Exogenous Factor: A Single Center Experience. Medicina. 59(9). 1568–1568. 6 indexed citations
14.
Lanzarone, Ettore, et al.. (2023). Solving jointly districting and resource location and allocation problems: An application to the design of Emergency Medical Services. Computers & Industrial Engineering. 179. 109232–109232. 5 indexed citations
15.
Sangalli, Fabio, et al.. (2022). Automatic cyst and kidney segmentation in autosomal dominant polycystic kidney disease: Comparison of U-Net based methods. Computers in Biology and Medicine. 146. 105431–105431. 9 indexed citations
16.
Yalçındağ, Semih, et al.. (2020). A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals. Health Care Management Science. 23(4). 535–555. 8 indexed citations
17.
Lanzarone, Ettore, et al.. (2018). A recursive optimization-simulation approach for the ambulance location and dispatching problem. Winter Simulation Conference. 2530–2541. 2 indexed citations
18.
Beaufort, Hector W.L. de, Michele Conti, Arnoud V. Kamman, et al.. (2017). Stent-Graft Deployment Increases Aortic Stiffness in an Ex Vivo Porcine Model. Annals of Vascular Surgery. 43. 302–308. 29 indexed citations
19.
Aletti, Federico, Ettore Lanzarone, Maria Laura Costantino, & Giuseppe Baselli. (2009). Simulation study of autoregulation responses of peripheral circulation to systemic pulsatility. PubMed. 3(1). 7–7. 5 indexed citations
20.
Lanzarone, Ettore, et al.. (2006). Non-linear modulation of total peripheral resistance due to pulsatility: A model study. Computing in Cardiology Conference. 653–656. 2 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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