Paulo Gotardo

1.2k total citations
38 papers, 760 citations indexed

About

Paulo Gotardo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Paulo Gotardo has authored 38 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 11 papers in Aerospace Engineering. Recurrent topics in Paulo Gotardo's work include Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (11 papers) and 3D Shape Modeling and Analysis (11 papers). Paulo Gotardo is often cited by papers focused on Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (11 papers) and 3D Shape Modeling and Analysis (11 papers). Paulo Gotardo collaborates with scholars based in United States, Switzerland and Brazil. Paulo Gotardo's co-authors include Aleix M. Martı́nez, Derek Bradley, Luciano Silva, Olga Regina Pereira Bellon, Prashanth Chandran, Jérémy Rivière, Thabo Beeler, Kim L. Boyer, Abhijeet Ghosh and Markus Groß and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Paulo Gotardo

37 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulo Gotardo United States 15 660 210 207 147 51 38 760
Roland Angst Switzerland 13 531 0.8× 180 0.9× 246 1.2× 117 0.8× 93 1.8× 19 697
Jean‐Yves Guillemaut United Kingdom 17 614 0.9× 149 0.7× 85 0.4× 105 0.7× 55 1.1× 78 718
Zhengqi Li United States 12 774 1.2× 123 0.6× 231 1.1× 347 2.4× 50 1.0× 20 920
Vickie Ye United States 5 755 1.1× 97 0.5× 335 1.6× 447 3.0× 71 1.4× 6 892
Abhishek Kar United States 10 876 1.3× 130 0.6× 326 1.6× 442 3.0× 92 1.8× 12 988
Gabriel Schwartz United States 9 671 1.0× 81 0.4× 373 1.8× 407 2.8× 52 1.0× 12 819
Michael Niemeyer United States 8 491 0.7× 69 0.3× 285 1.4× 322 2.2× 43 0.8× 14 629
Zhixin Shu United States 13 824 1.2× 62 0.3× 282 1.4× 335 2.3× 59 1.2× 27 963
J. Oliensis United States 17 795 1.2× 260 1.2× 210 1.0× 223 1.5× 53 1.0× 44 943

Countries citing papers authored by Paulo Gotardo

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Gotardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Gotardo

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Gotardo. A scholar is included among the top collaborators of Paulo Gotardo 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 Paulo Gotardo. Paulo Gotardo 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.
Zielonka, Wojciech, Stephan J. Garbin, Alexandros Lattas, et al.. (2025). Synthetic Prior for Few-Shot Drivable Head Avatar Inversion. 10735–10746. 1 indexed citations
2.
Sarkar, Kripasindhu, Abhimitra Meka, Franziska Mueller, et al.. (2024). ShellNeRF: Learning a Controllable High‐resolution Model of the Eye and Periocular Region. Computer Graphics Forum. 43(2). 1 indexed citations
3.
Otto, Claudia, et al.. (2023). A Perceptual Shape Loss for Monocular 3D Face Reconstruction. Computer Graphics Forum. 42(7). 2 indexed citations
4.
Gotardo, Paulo, et al.. (2023). Automated and data-driven plate computation for presurgical cleft lip and palate treatment. International Journal of Computer Assisted Radiology and Surgery. 18(6). 1119–1125. 10 indexed citations
5.
Sarkar, Kripasindhu, Delio Vicini, Jérémy Rivière, et al.. (2023). LitNeRF: Intrinsic Radiance Decomposition for High-Quality View Synthesis and Relighting of Faces. 1–11. 8 indexed citations
6.
Otto, Claudia, Jacek Naruniec, Prashanth Chandran, et al.. (2022). Learning Dynamic 3D Geometry and Texture for Video Face Swapping. Computer Graphics Forum. 41(7). 611–622. 4 indexed citations
7.
Chandran, Prashanth, et al.. (2022). Facial hair tracking for high fidelity performance capture. ACM Transactions on Graphics. 41(4). 1–12. 7 indexed citations
8.
Rivière, Jérémy, Paulo Gotardo, Derek Bradley, Abhijeet Ghosh, & Thabo Beeler. (2020). Single-shot high-quality facial geometry and skin appearance capture. ACM Transactions on Graphics. 39(4). 41 indexed citations
9.
Hold-Geoffroy, Yannick, Paulo Gotardo, & Jean‐François Lalonde. (2019). Single Day Outdoor Photometric Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(6). 2062–2074. 13 indexed citations
10.
Papas, Marios, Derek Bradley, Paulo Gotardo, et al.. (2018). Appearance capture and modeling of human teeth. ACM Transactions on Graphics. 37(6). 1–13. 19 indexed citations
11.
Gotardo, Paulo, Tomas Simon, Yaser Sheikh, & Iain Matthews. (2015). Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction. 846–854. 24 indexed citations
12.
Hold-Geoffroy, Yannick, Jinsong Zhang, Paulo Gotardo, & Jean‐François Lalonde. (2015). x-Hour Outdoor Photometric Stereo. 28–36. 7 indexed citations
13.
Benitez-Quiroz, C. Fabian, et al.. (2013). Salient and non-salient fiducial detection using a probabilistic graphical model. Pattern Recognition. 47(1). 208–215. 5 indexed citations
14.
Hamsici, Onur C., Paulo Gotardo, & Aleix M. Martı́nez. (2012). Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion. Lecture notes in computer science. 7575. 260–273. 29 indexed citations
15.
Gotardo, Paulo & Aleix M. Martı́nez. (2011). Kernel non-rigid structure from motion. PubMed. 802–809. 83 indexed citations
16.
Gotardo, Paulo & Aleix M. Martı́nez. (2011). Computing Smooth Time Trajectories for Camera and Deformable Shape in Structure from Motion with Occlusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(10). 2051–2065. 103 indexed citations
17.
Gotardo, Paulo, Olga Regina Pereira Bellon, Kim L. Boyer, & Luciano Silva. (2004). Range Image Segmentation Into Planar and Quadric Surfaces Using an Improved Robust Estimator and Genetic Algorithm. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 34(6). 2303–2316. 38 indexed citations
18.
Silva, Luciano, Olga Regina Pereira Bellon, Paulo Gotardo, & Kim L. Boyer. (2004). Range image registration using enhanced genetic algorithms. 3. II–711. 11 indexed citations
19.
Silva, Luciano, Olga Regina Pereira Bellon, Kim L. Boyer, & Paulo Gotardo. (2003). Low-Overlap Range Image Registration for Archaeological Applications. 9–9. 5 indexed citations
20.
Gotardo, Paulo, Olga Regina Pereira Bellon, & Luciano Silva. (2003). Range image segmentation by surface extraction using an improved robust estimator. 2. II–33. 33 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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