Cinzia Giannetti

906 total citations
39 papers, 630 citations indexed

About

Cinzia Giannetti is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Cinzia Giannetti has authored 39 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 12 papers in Mechanical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Cinzia Giannetti's work include Manufacturing Process and Optimization (9 papers), Metallurgical Processes and Thermodynamics (6 papers) and Industrial Vision Systems and Defect Detection (6 papers). Cinzia Giannetti is often cited by papers focused on Manufacturing Process and Optimization (9 papers), Metallurgical Processes and Thermodynamics (6 papers) and Industrial Vision Systems and Defect Detection (6 papers). Cinzia Giannetti collaborates with scholars based in United Kingdom, United States and Iraq. Cinzia Giannetti's co-authors include Aniekan Essien, R.S. Ransing, Arnold Beckmann, Qiushi Cao, Ahmed Samet, Christoph Reich, Cécilia Zanni-Merk, François de Bertrand de Beuvron, Biagio Lucini and Davide Vadacchino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and IEEE Transactions on Industrial Informatics.

In The Last Decade

Cinzia Giannetti

38 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cinzia Giannetti United Kingdom 13 210 146 104 99 96 39 630
Timo Müller Germany 10 159 0.8× 90 0.6× 79 0.8× 130 1.3× 29 0.3× 22 601
Balram Suman United States 15 181 0.9× 97 0.7× 131 1.3× 175 1.8× 340 3.5× 24 1.1k
Thumeera R. Wanasinghe Canada 10 166 0.8× 62 0.4× 115 1.1× 74 0.7× 49 0.5× 19 564
Alican Doğan Türkiye 4 136 0.6× 59 0.4× 48 0.5× 162 1.6× 88 0.9× 6 554
Xiaochuan Luo China 16 236 1.1× 131 0.9× 57 0.5× 86 0.9× 217 2.3× 75 796
Jason Atkin United Kingdom 19 320 1.5× 296 2.0× 129 1.2× 53 0.5× 34 0.4× 71 1.1k
Thomas Bousonville Germany 4 93 0.4× 99 0.7× 70 0.7× 207 2.1× 48 0.5× 9 612
Yan‐Ning Sun China 13 168 0.8× 170 1.2× 55 0.5× 105 1.1× 183 1.9× 47 582
Jiacheng Xie China 19 158 0.8× 232 1.6× 118 1.1× 60 0.6× 217 2.3× 107 887
Márcia L. Baptista Portugal 12 60 0.3× 267 1.8× 84 0.8× 89 0.9× 102 1.1× 37 752

Countries citing papers authored by Cinzia Giannetti

Since Specialization
Citations

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

Fields of papers citing papers by Cinzia Giannetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cinzia Giannetti

This figure shows the co-authorship network connecting the top 25 collaborators of Cinzia Giannetti. A scholar is included among the top collaborators of Cinzia Giannetti 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 Cinzia Giannetti. Cinzia Giannetti 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.
Giannetti, Cinzia, et al.. (2024). Deep learning for robust forecasting of hot metal silicon content in a blast furnace. The International Journal of Advanced Manufacturing Technology. 136(9). 4045–4054. 1 indexed citations
2.
Giannetti, Cinzia, et al.. (2024). Revolutionising the Sustainability of Steel Manufacturing Using Computer Vision. Procedia Computer Science. 232. 1729–1738. 3 indexed citations
3.
Giannetti, Cinzia, et al.. (2023). Anomaly Detection of DC Nut Runner Processes in Engine Assembly. SHILAP Revista de lepidopterología. 4(1). 234–254. 3 indexed citations
4.
Popov, Ivan, et al.. (2023). Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation. The International Journal of Advanced Manufacturing Technology. 126(3-4). 1397–1416.
5.
Giannetti, Cinzia, et al.. (2023). A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods. SHILAP Revista de lepidopterología. 4(2). 461–481. 2 indexed citations
6.
Giannetti, Cinzia, et al.. (2023). A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill. SN Computer Science. 4(5). 1 indexed citations
7.
Giannetti, Cinzia, et al.. (2023). Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning. Applied Sciences. 13(23). 12778–12778. 3 indexed citations
8.
Beckmann, Arnold, et al.. (2022). Data modelling and Remaining Useful Life estimation of rolls in a steel making cold rolling process. Procedia Computer Science. 207. 1057–1066. 6 indexed citations
9.
Todeschini, Grazia, et al.. (2022). An image-based deep transfer learning approach to classify power quality disturbances. Electric Power Systems Research. 213. 108795–108795. 16 indexed citations
10.
Giannetti, Cinzia, et al.. (2022). Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill. 36–45. 2 indexed citations
11.
Giannetti, Cinzia, et al.. (2021). Short Term Load Forecasting Using TabNet: A Comparative Study with Traditional State-of-the-Art Regression Models. Cronfa (Swansea University). 6–6. 10 indexed citations
12.
Giannetti, Cinzia, et al.. (2021). Using Convolutional Neural Networks to Map Houses Suitable for Electric Vehicle Home Charging. SHILAP Revista de lepidopterología. 2(1). 135–149. 7 indexed citations
13.
Essien, Aniekan & Cinzia Giannetti. (2020). A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders. IEEE Transactions on Industrial Informatics. 16(9). 6069–6078. 214 indexed citations
14.
Griffiths, C. A., et al.. (2019). Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components. SHILAP Revista de lepidopterología. 3(3). 274–289. 6 indexed citations
15.
Li, Chunxu, Chenguang Yang, & Cinzia Giannetti. (2019). Segmentation and generalisation for writing skills transfer from humans to robots. SHILAP Revista de lepidopterología. 1(1). 20–25. 17 indexed citations
16.
Essien, Aniekan & Cinzia Giannetti. (2019). A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders. Bristol Research (University of Bristol). 1–6. 36 indexed citations
17.
Griffiths, C. A., et al.. (2018). Optimisation process for robotic assembly of electronic components. The International Journal of Advanced Manufacturing Technology. 99(9-12). 2523–2535. 12 indexed citations
18.
Khodaparast, Hamed Haddad, et al.. (2018). A robust design of an innovative shaped rebar system using a novel uncertainty model. Structural and Multidisciplinary Optimization. 58(4). 1351–1365. 2 indexed citations
19.
Giannetti, Cinzia, et al.. (2016). Knowledge management and knowledge discovery for process improvement and sustainable manufacturing: a foundry case study. 7(2). 554. 4 indexed citations
20.
Giannetti, Cinzia, et al.. (2014). A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering. 72. 217–229. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Timo Müller Breakdown of academic impact, for papers by Balram Suman Breakdown of academic impact, for papers by Thumeera R. Wanasinghe Breakdown of academic impact, for papers by Alican Doğan Breakdown of academic impact, for papers by Xiaochuan Luo Breakdown of academic impact, for papers by Jason Atkin Breakdown of academic impact, for papers by Thomas Bousonville Breakdown of academic impact, for papers by Yan‐Ning Sun Breakdown of academic impact, for papers by Jiacheng Xie Breakdown of academic impact, for papers by Márcia L. Baptista
Rankless by CCL
2026