Stefano Rosa

3.6k citations
53 papers · 2.2k · 2 hit papers · h-index 14

Impact in

Papers in

Stefano Rosa

52 papers receiving 2.2k citations

Stefano Rosa's Hit Papers

Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling 2021 · 170 citations
1700+2+4Years since publication4008001.2k

Peers

Stefano Rosa
Comparison fields: 5 of 99
  • Geology 905
  • Environmental Engineering 862
  • Computer Graphics and Computer-Aided Design 209
  • Computational Mechanics 879
  • Computer Vision and Pattern Recognition 859
Replace Zoltán-Csaba Márton with:
Zoltán-Csaba Márton Germany
Daniel Maturana United States
Ruwen Schnabel Germany
Zhihua Wang United Kingdom
Linguang Zhang United States
James Diebel United States
Maciej Halber United States
Amir Zamir United States
Suya You United States
Qian-Yi Zhou United States
Stefano Rosa relative to Zoltán-Csaba Márton Germany Zoltán-Csaba Márton's profile →
Citations per field
00.5×
Zoltán-Csaba Márton · 1×
Citations per year

Countries citing papers authored by Stefano Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefano Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefano Rosa Line = papers co-authored together Stefano Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Hit paper breakdown →
20201346
2
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Hit paper breakdown →
2021170
3 2020122
4 2019106
5 201883
6 202053
7 200731
8 200624
9 202223
10 201619
11 201419
12 201518
13 201517
14 201617
15 201512
16
3D Object Dense Reconstruction from a Single Depth View.
201811
17 201411
18 201311
19 20189
20 20249

About Stefano Rosa

Stefano Rosa is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Robotics and Automated Systems (12 papers), Modular Robots and Swarm Intelligence (10 papers), Robotic Path Planning Algorithms (9 papers), Advanced Vision and Imaging (8 papers), Human Pose and Action Recognition (5 papers), 3D Shape Modeling and Analysis (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Geology (905 citations), Environmental Engineering (862 citations), Computer Graphics and Computer-Aided Design (209 citations), Computational Mechanics (879 citations) and Computer Vision and Pattern Recognition (859 citations). Stefano Rosa has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Niki Trigoni, Andrew Markham, Bo Yang, Zhihua Wang, Linhai Xie, Qingyong Hu, Yulan Guo, Chris Xiaoxuan Lu, Basilio Bona and Changhao Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Intelligent & Robotic Systems, Robotica, Measurement Science and Technology and IEEE Robotics and Automation Letters.

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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