Beatrice Rossi

478 citations
30 papers · 248 indexed · h-index 9
Topics
Advanced Vision and Imaging (9 papers)Optical measurement and interference techniques (6 papers)Robotics and Sensor-Based Localization (5 papers)
Journals
SHILAP Revista de lepidopterologíaPattern RecognitionComputer Vision and Image Understanding
Partner nations
ItalySwitzerlandCzechia

In The Last Decade

Beatrice Rossi

27 papers receiving 243 citations

Peers

Beatrice Rossi
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 95
  • Aerospace Engineering 47
  • Artificial Intelligence 44
  • Computational Mechanics 37
  • Biomedical Engineering 31
Replace Abd El Rahman Shabayek with:
Abd El Rahman Shabayek Luxembourg
Ue-Hwan Kim South Korea
Sohee Lim South Korea
Tianrui Guan United States
Yifeng Lu China
Guoxiong Hu China
Hailong Jing China
Ben Caine United States
Daiyi Peng United States
Beatrice Rossi relative to Abd El Rahman Shabayek Luxembourg Abd El Rahman Shabayek's profile →
Citations per field
00.5×2.6×
Abd El Rahman Shabayek · 1×
Citations per year

Countries citing papers authored by Beatrice Rossi

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Rossi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 32
4 4
5 16
6 6
7 1
8 16
9 4
10 32
11
Approximate operations in Convolutional Neural Networks with RNS data representation.
5
12 8
13 2
14 1
15 14
16 6
17 25
18 3
19 1
20 1

About Beatrice Rossi

Beatrice Rossi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 30 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Optical measurement and interference techniques (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Geology (20 citations) and Industrial and Manufacturing Engineering (27 citations). Beatrice Rossi has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Pasqualina Fragneto, Andrea Fusiello, Federica Arrigoni, Diego Carrera, Giacomo Boracchi, Bianca Maria Colosimo, Marco Grasso, Luca Magri, Davide Colombi and Flavio Cesare Bodini. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Computer Vision and Image Understanding.

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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