Luca Bergamini

461 citations
9 papers · 149 indexed · h-index 6
Topics
Video Surveillance and Tracking Methods (3 papers)Autonomous Vehicle Technology and Safety (3 papers)Traffic Prediction and Management Techniques (2 papers)
Partner nations
ItalySpainUnited Kingdom

In The Last Decade

Luca Bergamini

9 papers receiving 146 citations

Peers

Luca Bergamini
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 45
  • Pharmacy 35
  • Molecular Biology 32
  • Small Animals 26
  • Food Science 26
Replace Chin‐Hui Su with:
Chin‐Hui Su Taiwan
Runlan Tian China
Aditya Sinha India
Christina Baek United States
Michael A. Stedham United States
Amey Patil United States
Owen Owen United Kingdom
Neetu Sharma India
Éric Royer France
Xiaolin Zhang China
Luca Bergamini relative to Chin‐Hui Su Taiwan Chin‐Hui Su's profile →
Citations per field
00.5×8.8×
Chin‐Hui Su · 1×
Citations per year

Countries citing papers authored by Luca Bergamini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bergamini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bergamini

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 18
2 2
3
One Thousand and One Hours: Self-driving Motion Prediction Dataset
2
4 21
5 16
6 23
7 24
8 4
9 39

About Luca Bergamini

Luca Bergamini is a scholar working on Automotive Engineering, Pharmacy and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 149 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Pharmacy (35 citations), Small Animals (26 citations) and Developmental Biology (6 citations). Luca Bergamini has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Simone Calderara, Carla Calastrini, Giordano Stabellini, Francesco Carinci, Andrea Palazzi, Andrea Capobianco Dondona, Angelo Porrello, Javier Lorenzo-Navarro, Rita Cucchiara and Roberto Vezzani. Their work appears in journals such as Journal of Periodontology, Veterinary Research and Blood Coagulation & Fibrinolysis.

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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