Germano Veiga

1.2k total citations
58 papers, 688 citations indexed

About

Germano Veiga is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Germano Veiga has authored 58 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Industrial and Manufacturing Engineering, 17 papers in Control and Systems Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Germano Veiga's work include Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (13 papers) and Flexible and Reconfigurable Manufacturing Systems (12 papers). Germano Veiga is often cited by papers focused on Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (13 papers) and Flexible and Reconfigurable Manufacturing Systems (12 papers). Germano Veiga collaborates with scholars based in Portugal, Germany and Sweden. Germano Veiga's 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 and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and Sensors.

In The Last Decade

Germano Veiga

55 papers receiving 660 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Germano Veiga Portugal 14 267 231 209 103 89 58 688
Luís F. Rocha Portugal 15 225 0.8× 204 0.9× 212 1.0× 98 1.0× 122 1.4× 57 637
Andrea Bonci Italy 15 294 1.1× 222 1.0× 121 0.6× 123 1.2× 45 0.5× 82 751
Jürgen Roßmann Germany 15 264 1.0× 370 1.6× 182 0.9× 169 1.6× 115 1.3× 141 952
Luis Pérez Spain 6 283 1.1× 126 0.5× 189 0.9× 108 1.0× 73 0.8× 7 594
Christian Schlette Germany 14 213 0.8× 197 0.9× 67 0.3× 123 1.2× 39 0.4× 71 557
Bernard Schmidt Sweden 14 279 1.0× 309 1.3× 126 0.6× 111 1.1× 34 0.4× 36 694
Panagiotis Karagiannis Greece 11 331 1.2× 263 1.1× 248 1.2× 127 1.2× 41 0.5× 23 771
Gábor Erdős Hungary 17 386 1.4× 220 1.0× 64 0.3× 110 1.1× 50 0.6× 42 716
Jeremy A. Marvel United States 14 308 1.2× 475 2.1× 189 0.9× 169 1.6× 78 0.9× 68 841
Abderraouf Maoudj Algeria 9 186 0.7× 295 1.3× 324 1.6× 76 0.7× 129 1.4× 25 766

Countries citing papers authored by Germano Veiga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Filipe, Vítor, et al.. (2025). Quality Inspection in Casting Aluminum Parts: A Machine Vision System for Filings Detection and Hole Inspection. Journal of Intelligent & Robotic Systems. 111(2).
2.
Costa, Carlos M., Germano Veiga, Armando Sousa, Ulrike Thomas, & Luís F. Rocha. (2023). Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation. Zenodo (CERN European Organization for Nuclear Research). 29–36.
3.
Simões, Pedro, Nuno Soares, Carlos M. Costa, et al.. (2023). Comparison of 3D Sensors for Automating Bolt-Tightening Operations in the Automotive Industry. Sensors. 23(9). 4310–4310. 5 indexed citations
4.
Veiga, Germano, et al.. (2022). A Container-Based Framework for Developing ROS Applications. 280–285. 1 indexed citations
5.
Rocha, Luís F., et al.. (2022). Deep learning-based human action recognition to leverage context awareness in collaborative assembly. Robotics and Computer-Integrated Manufacturing. 80. 102449–102449. 27 indexed citations
6.
7.
Ribeiro, Paulo F., et al.. (2020). ROBIN: An open-source middleware for plug‘n’produce of Cyber-Physical Systems. International Journal of Advanced Robotic Systems. 17(3). 6 indexed citations
8.
Perzylo, Alexander, Markus Rickert, Nikhil Somani, et al.. (2019). SMErobotics: Smart Robots for Flexible Manufacturing. IEEE Robotics & Automation Magazine. 26(1). 78–90. 61 indexed citations
9.
Costa, Carlos M., Luís F. Rocha, Pedro Costa, et al.. (2019). Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality. Automation in Construction. 106. 102825–102825. 89 indexed citations
10.
Veiga, Germano, et al.. (2019). Optimal automatic path planner and design for high redundancy robotic systems. Industrial Robot the international journal of robotics research and application. 47(1). 131–139. 7 indexed citations
11.
Pinto, Tiago, et al.. (2018). Bridging Automation and Robotics: an Interprocess Communication between IEC 61131–3 and ROS. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3. 1085–1091. 6 indexed citations
12.
Krueger, Volker, Francesco Rovida, Ronald P. A. Petrick, et al.. (2018). Testing the vertical and cyber-physical integration of cognitive robots in manufacturing. Robotics and Computer-Integrated Manufacturing. 57. 213–229. 28 indexed citations
13.
Costa, Carlos M., Héber Sobreira, Armando Sousa, & Germano Veiga. (2015). Robust 3/6 DoF self-localization system with selective map update for mobile robot platforms. Robotics and Autonomous Systems. 76. 113–140. 21 indexed citations
14.
Rocha, Luís F., et al.. (2015). Development of a 3D model based part recognition system for industrial applications: Main challenges. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1. 3296–3301. 2 indexed citations
15.
Vale, Francisco, et al.. (2014). In Vitro Zinc-Air Battery Evaluation for Use in Intraoral Medical Devices. Journal of Medical Devices. 8(1). 2 indexed citations
16.
Rocha, Luís F., et al.. (2014). Increasing flexibility in footwear industrial cells. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 700 pami 9. 291–296. 3 indexed citations
17.
Moreira, António Paulo, Anı́bal Matos, & Germano Veiga. (2014). CONTROLO’2014 – Proceedings of the 11th Portuguese Conference on Automatic Control. Lecture notes in electrical engineering. 19 indexed citations
18.
Veiga, Germano, et al.. (2013). Gearing Up and Accelerating Crossfertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the .... Springer eBooks. 300–300.
19.
Moreira, António Paulo, et al.. (2013). Evaluation of sensors and algorithms for person detection for personal robots. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 60–65. 1 indexed citations
20.
Röhrbein, Florian, Germano Veiga, & Ciro Natale. (2013). Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe:. CERN Document Server (European Organization for Nuclear Research). 11 indexed citations

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.

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