Massimo Pacella
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- Advanced Statistical Process Monitoring 11
- Computational Mathematics top 5%
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- Manufacturing Process and Optimization 12
- Industrial Vision Systems and Defect Detection 6
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 7
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- Fault Detection and Control Systems 12
- Control Systems and Identification 5
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- Advanced Measurement and Metrology Techniques 9
- Advanced machining processes and optimization 4
- Co-authors
- Bianca Maria ColosimoQuirico SemeraroA. AnglaniKamran PaynabarAntonio GriecoNicola SeninMarco GrassoJionghua Jin
- Cited by
- Statistics, Probability and UncertaintyComputational MathematicsIndustrial and Manufacturing Engineering
- Journals
- Journal of Quality Technology (5 papers)Computers & Industrial Engineering (4 papers)Quality and Reliability Engineering International (3 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Massimo Pacella
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Statistics, Probability and Uncertainty 378
- Computational Mathematics 30
- Industrial and Manufacturing Engineering 367
- Statistics and Probability 159
- Control and Systems Engineering 296
Countries citing papers authored by Massimo Pacella
This map shows the geographic impact of Massimo Pacella'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 Massimo Pacella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Pacella more than expected).
Fields of papers citing papers by Massimo Pacella
This network shows the impact of papers produced by Massimo Pacella. 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 Massimo Pacella. The network helps show where Massimo Pacella may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Massimo Pacella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 7 | |
| 13 | 2014 | 56 | |
| 14 | 2014 | 61 | |
| 15 | 2013 | 72 | |
| 16 | 2011 | 27 | |
| 17 | 2009 | 55 | |
| 18 | Identification of Manufacturing Processes Signature by a Principal Component based Approach | 2006 | 1 |
| 19 | On the identification of manufacturing processes' signature | 2005 | 4 |
| 20 | 2003 | 2 |
About Massimo Pacella
Massimo Pacella is a scholar working on Computational Mathematics, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Manufacturing Process and Optimization (12 papers), Advanced Statistical Process Monitoring (11 papers), Advanced Measurement and Metrology Techniques (9 papers), Advanced Statistical Methods and Models (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Control Systems and Identification (5 papers) and Advanced machining processes and optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (378 citations), Computational Mathematics (30 citations), Industrial and Manufacturing Engineering (367 citations), Statistics and Probability (159 citations) and Control and Systems Engineering (296 citations). Massimo Pacella has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Bianca Maria Colosimo, Quirico Semeraro, A. Anglani, Kamran Paynabar, Antonio Grieco, Nicola Senin, Marco Grasso, Jionghua Jin, Tullio Tolio and Hao Yan. Their work appears in journals such as Journal of Quality Technology, Computers & Industrial Engineering, Quality and Reliability Engineering International, International Journal of Production Research and Engineering Applications of Artificial Intelligence.
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.