Rômulo Gonçalves Lins
Impact in
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- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
- Geology top 10%
Papers in
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- Industrial Vision Systems and Defect Detection 8
- Manufacturing Process and Optimization 5
- Digital Transformation in Industry 4
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- Image and Object Detection Techniques 5
- Co-authors
- Sidney Givigi (10 shared papers)Robert Schmitt (2 shared papers)Aboelmagd Noureldin (2 shared papers)Tashfeen B. Karamat (1 shared paper)André Mota (1 shared paper)
In The Last Decade
Rômulo Gonçalves Lins
30 papers receiving 615 citations
Peers
Comparison fields: 5 of 83
- Industrial and Manufacturing Engineering 184
- Geology 43
- Civil and Structural Engineering 141
- Computer Vision and Pattern Recognition 120
- Mechanical Engineering 179
Countries citing papers authored by Rômulo Gonçalves Lins
This map shows the geographic impact of Rômulo Gonçalves Lins'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 Rômulo Gonçalves Lins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rômulo Gonçalves Lins more than expected).
Fields of papers citing papers by Rômulo Gonçalves Lins
This network shows the impact of papers produced by Rômulo Gonçalves Lins. 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 Rômulo Gonçalves Lins. The network helps show where Rômulo Gonçalves Lins may publish in the future.
Co-authors
The 5 scholars most cited alongside Rômulo Gonçalves Lins, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 129 | |
| 2 | 2019 | 86 | |
| 3 | 2015 | 65 | |
| 4 | 2019 | 54 | |
| 5 | 2017 | 48 | |
| 6 | 2021 | 38 | |
| 7 | 2017 | 31 | |
| 8 | 2021 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2015 | 13 | |
| 16 | 2013 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2016 | 5 |
About Rômulo Gonçalves Lins
Rômulo Gonçalves Lins is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering and Geology, having authored 34 papers that have together received 637 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (8 papers), Robotics and Sensor-Based Localization (6 papers), 3D Surveying and Cultural Heritage (6 papers), Infrastructure Maintenance and Monitoring (5 papers), Manufacturing Process and Optimization (5 papers), Image and Object Detection Techniques (5 papers), Structural Health Monitoring Techniques (5 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (184 citations), Geology (43 citations), Civil and Structural Engineering (141 citations), Computer Vision and Pattern Recognition (120 citations) and Mechanical Engineering (179 citations). Rômulo Gonçalves Lins has collaborated with scholars based in Brazil, Canada and Germany. Frequent co-authors include Sidney Givigi, Robert Schmitt, Aboelmagd Noureldin, Tashfeen B. Karamat and André Mota. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Access, IEEE Systems Journal, Robotics and Computer-Integrated Manufacturing and The International Journal of Advanced Manufacturing Technology.
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.