Lourdes Agapito
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Geology top 2%
- Co-authors
- E. HaymanChris RussellAlessio Del BueIan ReidMichael M. BronsteinCarsten RotherJingwen WangRavi Garg
- Topics
- Advanced Vision and Imaging (51 papers)Robotics and Sensor-Based Localization (31 papers)Optical measurement and interference techniques (28 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessACM Transactions on Graphics
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Lourdes Agapito
76 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 2.1k
- Aerospace Engineering 860
- Computational Mechanics 458
- Computer Graphics and Computer-Aided Design 239
- Geology 220
Countries citing papers authored by Lourdes Agapito
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 73 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 45 | |
| 14 | 115 | |
| 15 | 70 | |
| 16 | 20 | |
| 17 | 47 | |
| 18 | Piecewise Quadratic Reconstruction of Non-Rigid Surfaces from Monocular Sequences | 1 |
| 19 | 11 | |
| 20 | HUMAN BODY MODELLING USING QUADRATIC DEFORMATIONS | 3 |
About Lourdes Agapito
Lourdes Agapito is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (51 papers), Robotics and Sensor-Based Localization (31 papers) and Optical measurement and interference techniques (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Computer Graphics and Computer-Aided Design (239 citations) and Geology (220 citations). Lourdes Agapito has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include E. Hayman, Chris Russell, Alessio Del Bue, Ian Reid, Michael M. Bronstein, Carsten Rother, Jingwen Wang, Ravi Garg, Anastasios Roussos and Sara Vicente. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Transactions on Graphics.
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.