Cristiano Premebida

2.4k total citations
62 papers, 1.6k citations indexed

About

Cristiano Premebida is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Cristiano Premebida has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 21 papers in Aerospace Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Cristiano Premebida's work include Robotics and Sensor-Based Localization (18 papers), Advanced Neural Network Applications (15 papers) and Autonomous Vehicle Technology and Safety (14 papers). Cristiano Premebida is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Advanced Neural Network Applications (15 papers) and Autonomous Vehicle Technology and Safety (14 papers). Cristiano Premebida collaborates with scholars based in Portugal, United Kingdom and Brazil. Cristiano Premebida's co-authors include Urbano Nunes, Paulo Peixoto, Alireza Asvadi, Oswaldo Ludwig, Luís Garrote, Diego R. Faria, João Carreira, Jorge Batista, Nuno Gonçalves and Francisco Souza and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Cristiano Premebida

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristiano Premebida Portugal 21 1.0k 487 424 339 226 62 1.6k
Hans‐Joachim Wuensche Germany 20 908 0.9× 675 1.4× 798 1.9× 477 1.4× 192 0.8× 99 1.7k
Ingmar Posner United Kingdom 23 1.0k 1.0× 418 0.9× 816 1.9× 318 0.9× 323 1.4× 72 1.9k
Christoph Mertz United States 17 826 0.8× 379 0.8× 306 0.7× 252 0.7× 222 1.0× 45 1.8k
Oliver Pink Germany 8 680 0.7× 670 1.4× 458 1.1× 323 1.0× 212 0.9× 10 1.5k
Paulo Peixoto Portugal 15 663 0.7× 349 0.7× 269 0.6× 239 0.7× 149 0.7× 50 1.1k
Jesse Levinson United States 9 1.0k 1.0× 742 1.5× 799 1.9× 382 1.1× 246 1.1× 9 1.9k
Jennifer Dolson United States 8 883 0.9× 467 1.0× 270 0.6× 159 0.5× 181 0.8× 12 1.5k
Frank Moosmann Germany 11 961 1.0× 283 0.6× 717 1.7× 366 1.1× 113 0.5× 14 1.5k
Fernando García Spain 22 773 0.8× 694 1.4× 517 1.2× 157 0.5× 171 0.8× 102 1.8k
Jason S. Ku United States 10 1.3k 1.2× 291 0.6× 747 1.8× 264 0.8× 112 0.5× 26 1.7k

Countries citing papers authored by Cristiano Premebida

Since Specialization
Citations

This map shows the geographic impact of Cristiano Premebida'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 Cristiano Premebida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristiano Premebida more than expected).

Fields of papers citing papers by Cristiano Premebida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristiano Premebida. 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 Cristiano Premebida. The network helps show where Cristiano Premebida may publish in the future.

Co-authorship network of co-authors of Cristiano Premebida

This figure shows the co-authorship network connecting the top 25 collaborators of Cristiano Premebida. A scholar is included among the top collaborators of Cristiano Premebida 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 Cristiano Premebida. Cristiano Premebida 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.
Adão, Telmo, João Cerqueira, Nuno Silva, et al.. (2025). PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts. IEEE Access. 13. 47632–47652. 1 indexed citations
2.
Premebida, Cristiano, et al.. (2025). Causality from bottom to top: a survey. Machine Learning. 114(11).
3.
4.
Premebida, Cristiano, et al.. (2023). Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs. 1–8. 2 indexed citations
5.
Premebida, Cristiano, et al.. (2023). ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification. 30. 50–55. 1 indexed citations
6.
Zhao, Dezong, et al.. (2023). Improving 3D Vulnerable Road User Detection With Point Augmentation. IEEE Transactions on Intelligent Vehicles. 8(5). 3489–3505. 21 indexed citations
7.
Mendes, Jérôme, et al.. (2023). Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. 281–288. 1 indexed citations
8.
Premebida, Cristiano, et al.. (2022). Reducing Overconfidence Predictions in Autonomous Driving Perception. IEEE Access. 10. 54805–54821. 5 indexed citations
9.
Premebida, Cristiano, et al.. (2020). Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data. 177–182. 30 indexed citations
10.
Bird, Jordan J., et al.. (2020). Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach. PLoS ONE. 15(10). e0241332–e0241332. 18 indexed citations
11.
Premebida, Cristiano, et al.. (2019). Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. 14–19. 12 indexed citations
12.
13.
Garrote, Luís, et al.. (2018). HMAPs - Hybrid Height- Voxel Maps for Environment Representation. 1197–1203. 2 indexed citations
14.
Asvadi, Alireza, Luís Garrote, Cristiano Premebida, Paulo Peixoto, & Urbano Nunes. (2017). Multimodal vehicle detection: fusing 3D-LIDAR and color camera data. Pattern Recognition Letters. 115. 20–29. 161 indexed citations
15.
Faria, Diego R., et al.. (2017). Affective facial expressions recognition for human-robot interaction. 805–810. 27 indexed citations
16.
Garrote, Luís, et al.. (2017). 3D point cloud downsampling for 2D indoor scene modelling in mobile robotics. 1. 228–233. 14 indexed citations
17.
Premebida, Cristiano, Diego R. Faria, Francisco Souza, & Urbano Nunes. (2015). Applying probabilistic Mixture Models to semantic place classification in mobile robotics. 4265–4270. 14 indexed citations
18.
Faria, Diego R., Cristiano Premebida, & Urbano Nunes. (2014). A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. 732–737. 64 indexed citations
19.
Ludwig, Oswaldo, Urbano Nunes, Bernardete Ribeiro, & Cristiano Premebida. (2013). Improving the Generalization Capacity of Cascade Classifiers. IEEE Transactions on Cybernetics. 43(6). 2135–2146. 12 indexed citations
20.
Premebida, Cristiano, Oswaldo Ludwig, & Urbano Nunes. (2009). LIDAR and vision‐based pedestrian detection system. Journal of Field Robotics. 26(9). 696–711. 143 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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