Daniele Cattaneo

630 total citations · 1 hit paper
18 papers, 308 citations indexed

About

Daniele Cattaneo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Daniele Cattaneo has authored 18 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 9 papers in Environmental Engineering. Recurrent topics in Daniele Cattaneo's work include Robotics and Sensor-Based Localization (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Advanced Neural Network Applications (6 papers). Daniele Cattaneo is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Advanced Neural Network Applications (6 papers). Daniele Cattaneo collaborates with scholars based in Germany, Italy and Spain. Daniele Cattaneo's co-authors include Abhinav Valada, Matteo Vaghi, Domenico G. Sorrenti, Augusto Luis Ballardini, Simone Fontana, Wolfram Burgard, Rubén Izquierdo, Miguel Ángel Sotelo, Matteo Matteucci and I. Parra and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Robotics.

In The Last Decade

Daniele Cattaneo

17 papers receiving 301 citations

Hit Papers

LCDNet: Deep Loop Closure Detection and Point Cloud Regis... 2022 2026 2023 2024 2022 40 80 120
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.

  1. LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
    2022 135 citations Daniele Cattaneo, Matteo Vaghi et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Cattaneo Germany 9 206 164 96 92 59 18 308
Chuanzhe Suo Hong Kong 7 229 1.1× 185 1.1× 73 0.8× 124 1.3× 57 1.0× 10 318
Jan Quenzel Germany 8 170 0.8× 154 0.9× 70 0.7× 75 0.8× 25 0.4× 16 260
Tim Caselitz Germany 6 281 1.4× 240 1.5× 86 0.9× 103 1.1× 67 1.1× 9 385
Shiyu Song China 8 396 1.9× 355 2.2× 99 1.0× 108 1.2× 73 1.2× 14 528
Igor Bogoslavskyi Germany 8 246 1.2× 229 1.4× 147 1.5× 102 1.1× 32 0.5× 11 381
Lucas Nunes Germany 10 155 0.8× 202 1.2× 111 1.2× 72 0.8× 18 0.3× 19 318
Jacopo Serafin Italy 6 268 1.3× 181 1.1× 131 1.4× 170 1.8× 27 0.5× 7 345
Janusz Będkowski Poland 8 162 0.8× 129 0.8× 49 0.5× 69 0.8× 30 0.5× 51 271
Jiaxin Li China 9 162 0.8× 158 1.0× 45 0.5× 86 0.9× 23 0.4× 24 315
Aljoša Ošep Germany 9 152 0.7× 300 1.8× 64 0.7× 58 0.6× 24 0.4× 21 393

Countries citing papers authored by Daniele Cattaneo

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Cattaneo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Cattaneo

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

All Works

18 of 18 papers shown
1.
Cattaneo, Daniele & Abhinav Valada. (2025). CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration. IEEE Transactions on Robotics. 41. 1995–2013. 4 indexed citations
2.
Meyer, Johannes, et al.. (2024). Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. IEEE Robotics and Automation Letters. 9(11). 9978–9985. 3 indexed citations
3.
Ballardini, Augusto Luis, Daniele Cattaneo, Rubén Izquierdo, et al.. (2024). An Ego-Lane Estimation Method With Sensor Failure Modeling. IEEE Access. 12. 34539–34552. 2 indexed citations
4.
Mohan, Rohit, et al.. (2024). Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities. IEEE Robotics and Automation Letters. 9(8). 7094–7101. 1 indexed citations
5.
Cattaneo, Daniele, et al.. (2024). Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception. IEEE Robotics and Automation Letters. 10(2). 1904–1911.
6.
Cattaneo, Daniele, et al.. (2024). RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. 5097–5103. 3 indexed citations
7.
Cattaneo, Daniele, et al.. (2023). PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics and Automation Letters. 8(3). 1319–1326. 26 indexed citations
8.
Cattaneo, Daniele, Matteo Vaghi, & Abhinav Valada. (2022). LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM. IEEE Transactions on Robotics. 38(4). 2074–2093. 135 indexed citations breakdown →
9.
Cattaneo, Daniele, et al.. (2022). Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. IEEE Robotics and Automation Letters. 7(2). 3404–3411. 14 indexed citations
10.
Cattaneo, Daniele, Matteo Vaghi, & Abhinav Valada. (2021). LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport.. arXiv (Cornell University). 3 indexed citations
11.
Fontana, Simone, Daniele Cattaneo, Augusto Luis Ballardini, Matteo Vaghi, & Domenico G. Sorrenti. (2021). A benchmark for point clouds registration algorithms. Robotics and Autonomous Systems. 140. 103734–103734. 25 indexed citations
12.
Ballardini, Augusto Luis, Simone Fontana, Daniele Cattaneo, Matteo Matteucci, & Domenico G. Sorrenti. (2021). Vehicle Localization Using 3D Building Models and Point Cloud Matching. Sensors. 21(16). 5356–5356. 8 indexed citations
13.
Cattaneo, Daniele, Domenico G. Sorrenti, & Abhinav Valada. (2020). CMRNet++: Map and camera agnostic monocular visual localization in lidar maps. arXiv (Cornell University). 2 indexed citations
14.
Cattaneo, Daniele, Matteo Vaghi, Simone Fontana, Augusto Luis Ballardini, & Domenico G. Sorrenti. (2020). Global visual localization in LiDAR-maps through shared 2D-3D embedding space. BOA (University of Milano-Bicocca). 42 indexed citations
15.
Ballardini, Augusto Luis, Daniele Cattaneo, & Domenico G. Sorrenti. (2019). Visual Localization at Intersections with Digital Maps. BOA (University of Milano-Bicocca). 8 indexed citations
16.
Ballardini, Augusto Luis, Daniele Cattaneo, Rubén Izquierdo, et al.. (2017). Ego-lane estimation by modeling lanes and sensor failures. BOA (University of Milano-Bicocca). 1–7. 9 indexed citations
17.
Ballardini, Augusto Luis, Daniele Cattaneo, Simone Fontana, & Domenico G. Sorrenti. (2017). An online probabilistic road intersection detector. BOA (University of Milano-Bicocca). 239–246. 9 indexed citations
18.
Ballardini, Augusto Luis, Daniele Cattaneo, Simone Fontana, & Domenico G. Sorrenti. (2016). Leveraging the OSM building data to enhance the localization of an urban vehicle. BOA (University of Milano-Bicocca). 622–628. 14 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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