Matteo Pantano
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Industrial Vision Systems and Defect Detection
Papers in
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- Manufacturing Process and Optimization 4
- Digital Transformation in Industry 3
- Industrial Vision Systems and Defect Detection 3
- Flexible and Reconfigurable Manufacturing Systems 2
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- Human-Automation Interaction and Safety 3
- Co-authors
- Benjamin Lutz (5 shared papers)Tobias Kamps (5 shared papers)Raven T. Reisch (4 shared papers)Tobias Hauser (3 shared papers)Alexander Kaplan (1 shared paper)Joerg Volpp (1 shared paper)Dongheui Lee (8 shared papers)Alois Knoll (2 shared papers)
- Journals
- Additive manufacturing (1 paper)Applied Sciences (1 paper)Journal of Intelligent Manufacturing (1 paper)IEEE Robotics and Automation Letters (1 paper)International journal of agricultural and biological engineering (1 paper)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Matteo Pantano
14 papers receiving 284 citations
Peers
Comparison fields: 5 of 41
- Automotive Engineering 97
- Industrial and Manufacturing Engineering 73
- Mechanical Engineering 195
- Medical Laboratory Technology 3
- Aerospace Engineering 41
Countries citing papers authored by Matteo Pantano
This map shows the geographic impact of Matteo Pantano'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 Matteo Pantano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Pantano more than expected).
Fields of papers citing papers by Matteo Pantano
This network shows the impact of papers produced by Matteo Pantano. 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 Matteo Pantano. The network helps show where Matteo Pantano may publish in the future.
Co-authors
The 19 scholars most cited alongside Matteo Pantano, 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 | 2021 | 157 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 19 | |
| 4 | 2023 | 16 | |
| 5 | 2020 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2024 | 0 |
About Matteo Pantano
Matteo Pantano is a scholar working on Industrial and Manufacturing Engineering, Social Psychology, Control and Systems Engineering, Plant Science and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 289 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Digital Transformation in Industry (3 papers), Human-Automation Interaction and Safety (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Robot Manipulation and Learning (3 papers), Smart Agriculture and AI (3 papers), Ergonomics and Human Factors (2 papers) and Flexible and Reconfigurable Manufacturing Systems (2 papers). The work is most often cited by research in Automotive Engineering (97 citations), Industrial and Manufacturing Engineering (73 citations), Mechanical Engineering (195 citations), Medical Laboratory Technology (3 citations) and Aerospace Engineering (41 citations). Matteo Pantano has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Benjamin Lutz, Tobias Kamps, Raven T. Reisch, Tobias Hauser, Alexander Kaplan, Joerg Volpp, Dongheui Lee, Alois Knoll, Gianluca Palli and José Saenz. Their work appears in journals such as Additive manufacturing, Applied Sciences, Journal of Intelligent Manufacturing, IEEE Robotics and Automation Letters and International journal of agricultural and biological engineering.
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.