Luca Caltagirone

762 citations
8 papers · 501 indexed · h-index 6
Topics
Remote Sensing and LiDAR Applications (5 papers)Advanced Neural Network Applications (5 papers)Autonomous Vehicle Technology and Safety (4 papers)
Partner nations
SwedenEstoniaItaly

In The Last Decade

Luca Caltagirone

8 papers receiving 479 citations

Peers

Luca Caltagirone
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 312
  • Automotive Engineering 238
  • Environmental Engineering 173
  • Aerospace Engineering 117
  • Civil and Structural Engineering 57
Replace Mauro Bellone with:
Mauro Bellone Estonia
Pengpeng Sun China
Alireza Asvadi Portugal
Yihuan Zhang China
Naoki Suganuma Japan
Yifeng Shi China
Takashi Naito Japan
Keisuke Yoneda Japan
Yichen Zheng China
Yigong Zhang China
Luca Caltagirone relative to Mauro Bellone Estonia Mauro Bellone's profile →
Citations per field
00.5×1.7×
Mauro Bellone · 1×
Citations per year

Countries citing papers authored by Luca Caltagirone

Since Specialization
Citations

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

Fields of papers citing papers by Luca Caltagirone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Caltagirone

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 10
2
Deep Learning Applications for Autonomous Driving
1
3 247
4
Simultaneous Perception and Path Generation Using Fully Convolutional Neural Networks.
4
5 37
6 26
7 168
8 8

About Luca Caltagirone

Luca Caltagirone is a scholar working on Environmental Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 501 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (5 papers), Advanced Neural Network Applications (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Automotive Engineering (238 citations), Computer Vision and Pattern Recognition (312 citations) and Instrumentation (49 citations). Luca Caltagirone has collaborated with scholars based in Sweden, Estonia and Italy. Frequent co-authors include Mattias Wahde, Lennart Svensson, Mauro Bellone, Giulio Reina and Raivo Sell. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Robotics and Autonomous Systems.

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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