Simone Pampuri

1.3k total citations · 1 hit paper
24 papers, 947 citations indexed

About

Simone Pampuri is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Simone Pampuri has authored 24 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics, Probability and Uncertainty, 13 papers in Industrial and Manufacturing Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Simone Pampuri's work include Advanced Statistical Process Monitoring (13 papers), Industrial Vision Systems and Defect Detection (13 papers) and Fault Detection and Control Systems (9 papers). Simone Pampuri is often cited by papers focused on Advanced Statistical Process Monitoring (13 papers), Industrial Vision Systems and Defect Detection (13 papers) and Fault Detection and Control Systems (9 papers). Simone Pampuri collaborates with scholars based in Italy, Ireland and Austria. Simone Pampuri's co-authors include Andrea Schirru, Gian Antonio Susto, Alessandro Beghi, Seán McLoone, Giuseppe De Nicolao, Cristina De Luca, Giuseppe Fazio, Jian Wan, Matteo Terzi and Chiara Masiero and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Computers & Operations Research and Control Engineering Practice.

In The Last Decade

Simone Pampuri

24 papers receiving 911 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

2014 530 citations Gian Antonio Susto, Andrea Schirru et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simone Pampuri Italy	15	421	388	173	150	136	24	947
Andrea Schirru Italy	14	408 1.0×	377 1.0×	167 1.0×	146 1.0×	133 1.0×	24	926
Symone Gomes Soares Alcalá Brazil	9	296 0.7×	388 1.0×	64 0.4×	263 1.8×	141 1.0×	24	1.1k
Jun‐Geol Baek South Korea	16	290 0.7×	287 0.7×	127 0.7×	244 1.6×	144 1.1×	94	910
Brian A. Weiss United States	15	241 0.6×	374 1.0×	50 0.3×	137 0.9×	174 1.3×	67	898
Huawei Wang China	17	178 0.4×	653 1.7×	90 0.5×	132 0.9×	354 2.6×	67	1.1k
Pierre Dersin France	12	101 0.2×	486 1.3×	70 0.4×	126 0.8×	200 1.5×	48	832
Mohamed-Salah Ouali Canada	13	83 0.2×	302 0.8×	129 0.7×	87 0.6×	151 1.1×	38	726
Khanh T.P. Nguyen France	16	112 0.3×	573 1.5×	146 0.8×	90 0.6×	222 1.6×	57	1.1k
Lee J. Wells United States	16	370 0.9×	157 0.4×	183 1.1×	70 0.5×	139 1.0×	43	833

Countries citing papers authored by Simone Pampuri

Since Specialization

Citations

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

Fields of papers citing papers by Simone Pampuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Pampuri

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Pampuri. A scholar is included among the top collaborators of Simone Pampuri 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 Simone Pampuri. Simone Pampuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Susto, Gian Antonio, Andrea Schirru, Simone Pampuri, Alessandro Beghi, & Giuseppe De Nicolao. (2018). A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing. Control Engineering Practice. 74. 84–94. 35 indexed citations

Susto, Gian Antonio, Matteo Terzi, Chiara Masiero, Simone Pampuri, & Andrea Schirru. (2018). A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. Research Padua Archive (University of Padua). 9–14. 5 indexed citations

Susto, Gian Antonio, Andrea Schirru, Simone Pampuri, & Seán McLoone. (2015). Supervised Aggregative Feature Extraction for Big Data Time Series Regression. IEEE Transactions on Industrial Informatics. 12(3). 1243–1252. 56 indexed citations

Kurz, Daniel, Jürgen Pilz, Andrea Schirru, Simone Pampuri, & Cristina De Luca. (2014). A sampling decision system for semiconductor manufacturing - relying on virtual metrology and actual measurements. Proceedings of the Winter Simulation Conference 2014. 2649–2660. 3 indexed citations

Wan, Jian, et al.. (2014). On Regression Methods for Virtual Metrology in Semiconductor Manufacturing. Research Portal (Queen's University Belfast). 380–385. 14 indexed citations

Susto, Gian Antonio, Andrea Schirru, Simone Pampuri, Seán McLoone, & Alessandro Beghi. (2014). Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Transactions on Industrial Informatics. 11(3). 812–820. 530 indexed citations breakdown →

Susto, Gian Antonio, Simone Pampuri, Andrea Schirru, Alessandro Beghi, & Giuseppe De Nicolao. (2014). Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Computers & Operations Research. 53. 328–337. 59 indexed citations

Susto, Gian Antonio, et al.. (2013). A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. Research Portal (Queen's University Belfast). 21 indexed citations

Susto, Gian Antonio, et al.. (2013). Prediction of integral type failures in semiconductor manufacturing through classification methods. Research Portal (Queen's University Belfast). 1–4. 22 indexed citations

10.

Pampuri, Simone, Andrea Schirru, Gian Antonio Susto, et al.. (2012). Multistep virtual metrology approaches for semiconductor manufacturing processes. Padua Research Archive (University of Padova). 91–96. 16 indexed citations

11.

Susto, Gian Antonio, Simone Pampuri, Andrea Schirru, & Alessandro Beghi. (2012). Optimal tuning of epitaxy pyrometers. Padua Research Archive (University of Padova). 6. 294–299. 12 indexed citations

12.

Schirru, Andrea, Gian Antonio Susto, Simone Pampuri, & Seán McLoone. (2012). Learning from time series: Supervised Aggregative Feature Extraction. Research Portal (Queen's University Belfast). 5254–5259. 17 indexed citations

13.

Susto, Gian Antonio, Andrea Schirru, Simone Pampuri, & Alessandro Beghi. (2012). A predictive maintenance system based on regularization methods for ion-implantation. Padua Research Archive (University of Padova). 175–180. 18 indexed citations

14.

Susto, Gian Antonio, Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao, & Alessandro Beghi. (2012). An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. Padua Research Archive (University of Padova). 20. 358–363. 13 indexed citations

15.

Schirru, Andrea, Simone Pampuri, Giuseppe De Nicolao, & Seán McLoone. (2011). Efficient Marginal Likelihood Computation for Gaussian Process Regression. arXiv (Cornell University). 1110. 1 indexed citations

16.

Schirru, Andrea, Simone Pampuri, Cristina De Luca, & Giuseppe De Nicolao. (2011). NONPARAMETRIC VIRTUAL SENSORS FOR SEMICONDUCTOR MANUFACTURING - Using Information Theoretic Learning and Kernel Machines. 349–358. 1 indexed citations

17.

Pampuri, Simone, Andrea Schirru, Giuseppe Fazio, & Giuseppe De Nicolao. (2011). Multilevel Lasso applied to Virtual Metrology in semiconductor manufacturing. 244–249. 28 indexed citations

18.

Schirru, Andrea, Simone Pampuri, Cristina De Luca, & Giuseppe De Nicolao. (2011). Multilevel Kernel Methods for Virtual Metrology in Semiconductor Manufacturing. IFAC Proceedings Volumes. 44(1). 11614–11621. 24 indexed citations

19.

Schirru, Andrea, Simone Pampuri, & Giuseppe De Nicolao. (2010). Multilevel statistical process control of asynchronous multi-stream processes in semiconductor manufacturing. 12 indexed citations

20.

Schirru, Andrea, Simone Pampuri, & Giuseppe De Nicolao. (2010). Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing. 22 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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