Luis Piardi
Impact in
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- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Industrial Vision Systems and Defect Detection
- Control and Systems Engineering top 10%
Papers in
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- Digital Transformation in Industry 11
- Advanced Manufacturing and Logistics Optimization 5
- Industrial Vision Systems and Defect Detection 3
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- Fault Detection and Control Systems 3
- Co-authors
- Paulo Leitão (21 shared papers)José Lima (12 shared papers)André Schneider de Oliveira (11 shared papers)Thadeu Brito (6 shared papers)Paulo Costa (7 shared papers)Joseane Pontes (2 shared papers)Ana I. Pereira (3 shared papers)Pedro Rodrigues (1 shared paper)
In The Last Decade
Luis Piardi
31 papers receiving 265 citations
Peers
Comparison fields: 5 of 61
- Industrial and Manufacturing Engineering 116
- Control and Systems Engineering 73
- Computer Vision and Pattern Recognition 59
- Medical Laboratory Technology 4
- Computer Science Applications 11
Countries citing papers authored by Luis Piardi
This map shows the geographic impact of Luis Piardi'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 Luis Piardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Piardi more than expected).
Fields of papers citing papers by Luis Piardi
This network shows the impact of papers produced by Luis Piardi. 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 Luis Piardi. The network helps show where Luis Piardi may publish in the future.
Co-authors
The 14 scholars most cited alongside Luis Piardi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2019 | 33 | |
| 3 | 2024 | 16 | |
| 4 | 2019 | 13 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Luis Piardi
Luis Piardi is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 33 papers that have together received 279 indexed citations. Recurring topics across this work include Digital Transformation in Industry (11 papers), Modular Robots and Swarm Intelligence (6 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Robotic Path Planning Algorithms (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Fault Detection and Control Systems (3 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (116 citations), Control and Systems Engineering (73 citations), Computer Vision and Pattern Recognition (59 citations), Medical Laboratory Technology (4 citations) and Computer Science Applications (11 citations). Luis Piardi has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Paulo Leitão, José Lima, André Schneider de Oliveira, Thadeu Brito, Paulo Costa, Joseane Pontes, Ana I. Pereira, Pedro Rodrigues, Pedro Costa and Vidal Moreno. Their work appears in journals such as Sensors, IEEE Access, Computers in Industry, Annual Reviews in Control and IEEE Sensors Journal.
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.