Lourdes Agapito

5.4k total citations · 1 hit paper
80 papers, 2.5k citations indexed

About

Lourdes Agapito is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Lourdes Agapito has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 17 papers in Computational Mechanics. Recurrent topics in Lourdes Agapito's work include Advanced Vision and Imaging (51 papers), Robotics and Sensor-Based Localization (31 papers) and Optical measurement and interference techniques (28 papers). Lourdes Agapito is often cited by papers focused on Advanced Vision and Imaging (51 papers), Robotics and Sensor-Based Localization (31 papers) and Optical measurement and interference techniques (28 papers). Lourdes Agapito collaborates with scholars based in United Kingdom, Spain and United States. Lourdes Agapito's co-authors include E. Hayman, Chris Russell, Alessio Del Bue, Ian Reid, Carsten Rother, Michael M. Bronstein, Jingwen Wang, Anastasios Roussos, Ravi Garg and Sara Vicente and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Transactions on Graphics.

In The Last Decade

Lourdes Agapito

76 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM

2023 124 citations Hengyi Wang, Jingwen Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lourdes Agapito United Kingdom	29	2.1k	860	458	239	220	80	2.5k
Zhaopeng Cui China	24	1.8k 0.9×	925 1.1×	475 1.0×	404 1.7×	339 1.5×	71	2.3k
Jiaolong Yang China	23	2.5k 1.2×	848 1.0×	785 1.7×	358 1.5×	566 2.6×	46	3.3k
Andreas Koschan United States	27	1.7k 0.8×	516 0.6×	407 0.9×	317 1.3×	209 0.9×	128	2.5k
Peter Rander United States	19	1.5k 0.7×	567 0.7×	209 0.5×	411 1.7×	142 0.6×	30	1.8k
Richard Newcombe United States	13	1.6k 0.8×	920 1.1×	357 0.8×	296 1.2×	463 2.1×	29	2.1k
Tian Fang China	18	1.6k 0.7×	707 0.8×	255 0.6×	252 1.1×	431 2.0×	71	2.0k
René Ranftl Switzerland	15	1.6k 0.8×	455 0.5×	303 0.7×	196 0.8×	165 0.8×	25	2.3k
Jiaming Sun China	12	1.3k 0.6×	682 0.8×	179 0.4×	136 0.6×	178 0.8×	44	1.7k
Natasha Gelfand United States	23	1.8k 0.8×	648 0.8×	419 0.9×	223 0.9×	480 2.2×	34	2.2k
Chunxia Xiao China	27	2.0k 0.9×	300 0.3×	400 0.9×	386 1.6×	238 1.1×	149	2.6k

Countries citing papers authored by Lourdes Agapito

Since Specialization

Citations

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

Fields of papers citing papers by Lourdes Agapito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lourdes Agapito

This figure shows the co-authorship network connecting the top 25 collaborators of Lourdes Agapito. A scholar is included among the top collaborators of Lourdes Agapito 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 Lourdes Agapito. Lourdes Agapito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Weinzaepfel, Philippe, et al.. (2025). Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors. 1071–1081.

2.

Maiti, Saumen, et al.. (2025). Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects. 18552–18562.

3.

Kirschstein, Tobias, et al.. (2024). NPGA: Neural Parametric Gaussian Avatars. 1–11. 8 indexed citations

4.

Agapito, Lourdes, et al.. (2024). NViST: In the Wild New View Synthesis from a Single Image with Transformers. 10181–10193. 4 indexed citations

5.

Wang, Hengyi, Jingwen Wang, & Lourdes Agapito. (2024). MorpheuS: Neural Dynamic $360^{\circ}$ Surface Reconstruction from Monocular RGB-D Video. 20965–20976. 2 indexed citations

6.

Wang, Jingwen, et al.. (2023). SeMLaPS: Real-Time Semantic Mapping With Latent Prior Networks and Quasi-Planar Segmentation. IEEE Robotics and Automation Letters. 8(12). 7954–7961. 5 indexed citations

7.

Rünz, Martin, et al.. (2023). HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Transactions on Graphics. 42(4). 1–12. 73 indexed citations

8.

Kirschstein, Tobias, et al.. (2023). Learning Neural Parametric Head Models. 21003–21012. 18 indexed citations

9.

Agapito, Lourdes, et al.. (2015). Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014 Proceedings, Part IV. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations

10.

Agapito, Lourdes, Michael M. Bronstein, & Carsten Rother. (2015). Computer Vision - ECCV 2014 Workshops. Lecture notes in computer science. 138 indexed citations

11.

Yu, Rui, Chris Russell, Neill D. F. Campbell, & Lourdes Agapito. (2015). Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. Pure (University of Bath). 918–926. 45 indexed citations

12.

Vicente, Sara, João Carreira, Lourdes Agapito, & Jorge Batista. (2014). Reconstructing PASCAL VOC. 41–48. 115 indexed citations

13.

Russell, Chris, et al.. (2013). Learning a Manifold as an Atlas. 1642–1649. 20 indexed citations

14.

Bue, Alessio Del, et al.. (2011). Bilinear Modeling via Augmented Lagrange Multipliers (BALM). IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(8). 1496–1508. 47 indexed citations

15.

Agapito, Lourdes, et al.. (2010). Piecewise Quadratic Reconstruction of Non-Rigid Surfaces from Monocular Sequences. UCL Discovery (University College London). 1 indexed citations

16.

Lladó, Xavier, Alessio Del Bue, & Lourdes Agapito. (2010). Non-rigid metric reconstruction from perspective cameras. Image and Vision Computing. 28(9). 1339–1353. 11 indexed citations

17.

Bue, Alessio Del, et al.. (2009). Factorization for non-rigid and articulated structure using metric projections. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2898–2905. 91 indexed citations

18.

Bue, Alessio Del, et al.. (2009). HUMAN BODY MODELLING USING QUADRATIC DEFORMATIONS. 3 indexed citations

19.

Lladó, Xavier, Alessio Del Bue, & Lourdes Agapito. (2008). Recovering Euclidean deformable models from stereo-motion. Proceedings - International Conference on Pattern Recognition. 38. 1–4. 2 indexed citations

20.

Bue, Alessio Del & Lourdes Agapito. (2006). Non-Rigid Stereo Factorization. International Journal of Computer Vision. 66(2). 193–207. 17 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.

Explore authors with similar magnitude of impact