Antoni Rosinol

552 total citations · 1 hit paper
5 papers, 281 citations indexed

About

Antoni Rosinol is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Antoni Rosinol has authored 5 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 2 papers in Environmental Engineering. Recurrent topics in Antoni Rosinol's work include Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Antoni Rosinol is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Antoni Rosinol collaborates with scholars based in United States, Switzerland and Italy. Antoni Rosinol's co-authors include Luca Carlone, John J. Leonard, Christopher E. Denniston, Muhammad Fadhil Ginting, Yun Chang, A. Chatterjee, Ali‐akbar Agha‐mohammadi, Benjamin Morrell, Andrzej Reinke and Matteo Palieri and has published in prestigious journals such as IEEE Robotics and Automation Letters, Zurich Open Repository and Archive (University of Zurich) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Antoni Rosinol

5 papers receiving 269 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.

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields

2023 158 citations Antoni Rosinol, John J. Leonard et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antoni Rosinol United States	4	200	185	51	35	28	5	281
Jingwen Wang China	6	219 1.1×	191 1.0×	79 1.5×	30 0.9×	16 0.6×	11	297
Nikhil Keetha United States	4	149 0.7×	192 1.0×	35 0.7×	30 0.9×	27 1.0×	7	305
Hidenobu Matsuki United Kingdom	5	143 0.7×	113 0.6×	46 0.9×	31 0.9×	21 0.8×	7	211
Andrew J. Davison United Kingdom	6	129 0.6×	127 0.7×	34 0.7×	33 0.9×	18 0.6×	13	221
Vincent Gay‐Bellile France	10	218 1.1×	288 1.6×	63 1.2×	13 0.4×	13 0.5×	24	357
Riku Murai United Kingdom	4	105 0.5×	102 0.6×	29 0.6×	30 0.9×	13 0.5×	5	183
Mariano Jaimez Spain	8	317 1.6×	342 1.8×	93 1.8×	18 0.5×	36 1.3×	11	416
Patrick Sayd France	11	258 1.3×	415 2.2×	74 1.5×	9 0.3×	22 0.8×	20	490
Sai Manoj Prakhya Singapore	9	168 0.8×	145 0.8×	85 1.7×	46 1.3×	18 0.6×	19	287
Tim Caselitz Germany	6	281 1.4×	240 1.3×	103 2.0×	13 0.4×	22 0.8×	9	385

Countries citing papers authored by Antoni Rosinol

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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5 of 5 papers shown

1.

Rosinol, Antoni, John J. Leonard, & Luca Carlone. (2023). Probabilistic Volumetric Fusion for Dense Monocular SLAM. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3096–3104. 16 indexed citations

2.

Rosinol, Antoni, John J. Leonard, & Luca Carlone. (2023). NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. 3437–3444. 158 indexed citations breakdown →

3.

Chang, Yun, Kamak Ebadi, Christopher E. Denniston, et al.. (2022). LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments. IEEE Robotics and Automation Letters. 7(4). 9175–9182. 99 indexed citations

4.

Rosinol, Antoni & Luca Carlone. (2021). Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6633–6640. 3 indexed citations

5.

Loquercio, Antonio, et al.. (2020). Primal-Dual Mesh Convolutional Neural Networks. Zurich Open Repository and Archive (University of Zurich). 33. 952–963. 5 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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