Antoni Rosinol
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Geology top 10%
- Mechanical Engineering
- Control and Systems Engineering
- Co-authors
- Luca CarloneJohn J. LeonardAli‐akbar Agha‐mohammadiKamak EbadiYun ChangMatteo PalieriBenjamin MorrellAndrzej Reinke
- Topics
- Robotics and Sensor-Based Localization (4 papers)Advanced Vision and Imaging (3 papers)3D Surveying and Cultural Heritage (2 papers)
- Journals
- IEEE Robotics and Automation LettersZurich Open Repository and Archive (University of Zurich)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Antoni Rosinol
5 papers receiving 269 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Aerospace Engineering 200
- Computer Vision and Pattern Recognition 185
- Geology 51
- Mechanical Engineering 35
- Control and Systems Engineering 28
Countries citing papers authored by Antoni Rosinol
This map shows the geographic impact of Antoni Rosinol'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 Antoni Rosinol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoni Rosinol more than expected).
Fields of papers citing papers by Antoni Rosinol
This network shows the impact of papers produced by Antoni Rosinol. 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 Antoni Rosinol. The network helps show where Antoni Rosinol may publish in the future.
Co-authorship network of co-authors of Antoni Rosinol
This figure shows the co-authorship network connecting the top 25 collaborators of Antoni Rosinol. A scholar is included among the top collaborators of Antoni Rosinol 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 Antoni Rosinol. Antoni Rosinol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fieldsbreakdown → | 158 |
| 3 | 99 | |
| 4 | 3 | |
| 5 | 5 |
About Antoni Rosinol
Antoni Rosinol is a scholar working on Geology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 281 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Geology (51 citations), Computer Vision and Pattern Recognition (185 citations) and Aerospace Engineering (200 citations). Antoni Rosinol has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Luca Carlone, John J. Leonard, Ali‐akbar Agha‐mohammadi, Kamak Ebadi, Yun Chang, Matteo Palieri, Benjamin Morrell, Andrzej Reinke, A. Chatterjee and Muhammad Fadhil Ginting. Their work appears in journals such as IEEE Robotics and Automation Letters, Zurich Open Repository and Archive (University of Zurich) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.