Germano Veiga
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Luís F. RochaAntónio Paulo MoreiraCarlos M. CostaPedro CostaJ. Norberto PiresArmando SousaK. NilssonRicardo Araújo
- Topics
- Robot Manipulation and Learning (13 papers)Robotics and Sensor-Based Localization (13 papers)Flexible and Reconfigurable Manufacturing Systems (12 papers)
In The Last Decade
Germano Veiga
55 papers receiving 660 citations
Peers
Comparison fields: 5 of 86
- Industrial and Manufacturing Engineering 267
- Control and Systems Engineering 231
- Computer Vision and Pattern Recognition 209
- Mechanical Engineering 103
- Aerospace Engineering 89
Countries citing papers authored by Germano Veiga
This map shows the geographic impact of Germano Veiga'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 Germano Veiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germano Veiga more than expected).
Fields of papers citing papers by Germano Veiga
This network shows the impact of papers produced by Germano Veiga. 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 Germano Veiga. The network helps show where Germano Veiga may publish in the future.
Co-authorship network of co-authors of Germano Veiga
This figure shows the co-authorship network connecting the top 25 collaborators of Germano Veiga. A scholar is included among the top collaborators of Germano Veiga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Germano Veiga. Germano Veiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 61 | |
| 9 | 89 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 28 | |
| 13 | 21 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | Gearing Up and Accelerating Crossfertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the ... | 0 |
| 19 | 1 | |
| 20 | 11 |
About Germano Veiga
Germano Veiga is a scholar working on Industrial and Manufacturing Engineering, Geology and Control and Systems Engineering, having authored 58 papers that have together received 688 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (13 papers) and Flexible and Reconfigurable Manufacturing Systems (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (267 citations), Computer Vision and Pattern Recognition (209 citations) and Control and Systems Engineering (231 citations). Germano Veiga has collaborated with scholars based in Portugal, Germany and Sweden. Frequent co-authors include Luís F. Rocha, António Paulo Moreira, Carlos M. Costa, Pedro Costa, J. Norberto Pires, Armando Sousa, K. Nilsson, Ricardo Araújo, José Lima and César Toscano. Their work appears in journals such as Proceedings of the IEEE, Expert Systems with Applications and Sensors.
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.