Massimo Pacella
Impact in
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- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
- Computational Mathematics top 5%
Papers in
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- Manufacturing Process and Optimization 14
- Industrial Vision Systems and Defect Detection 7
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- Fault Detection and Control Systems 13
- Control Systems and Identification 5
- Co-authors
- Bianca Maria Colosimo (19 shared papers)Quirico Semeraro (12 shared papers)A. Anglani (8 shared papers)Kamran Paynabar (6 shared papers)Antonio Grieco (6 shared papers)Nicola Senin (2 shared papers)Marco Grasso (4 shared papers)Jionghua Jin (1 shared paper)
- Journals
- Journal of Quality Technology (5 papers)Computers & Industrial Engineering (4 papers)Quality and Reliability Engineering International (3 papers)International Journal of Production Research (3 papers)IISE Transactions (2 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Massimo Pacella
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Statistics, Probability and Uncertainty 409
- Computational Mathematics 34
- Industrial and Manufacturing Engineering 410
- Statistics and Probability 164
- Control and Systems Engineering 306
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-authors
The 25 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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 103 | |
| 2 | 2002 | 95 | |
| 3 | 2013 | 74 | |
| 4 | 2007 | 70 | |
| 5 | 2014 | 63 | |
| 6 | 2009 | 61 | |
| 7 | 2014 | 61 | |
| 8 | 2014 | 57 | |
| 9 | 2012 | 54 | |
| 10 | 2004 | 51 | |
| 11 | 2018 | 48 | |
| 12 | 2007 | 47 | |
| 13 | 2021 | 46 | |
| 14 | 2004 | 37 | |
| 15 | 1985 | 36 | |
| 16 | 2021 | 33 | |
| 17 | 2011 | 27 | |
| 18 | 2001 | 26 | |
| 19 | 2021 | 22 | |
| 20 | 2018 | 21 |
About Massimo Pacella
Massimo Pacella is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering and Artificial Intelligence, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (14 papers), Advanced Statistical Process Monitoring (14 papers), Fault Detection and Control Systems (13 papers), Advanced Measurement and Metrology Techniques (10 papers), Industrial Vision Systems and Defect Detection (7 papers), Advanced Statistical Methods and Models (7 papers), Control Systems and Identification (5 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (409 citations), Computational Mathematics (34 citations), Industrial and Manufacturing Engineering (410 citations), Statistics and Probability (164 citations) and Control and Systems Engineering (306 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 IISE Transactions.
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.