Bruno Cernuschi-Frías

429 total citations
61 papers, 275 citations indexed

About

Bruno Cernuschi-Frías is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Bruno Cernuschi-Frías has authored 61 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Bruno Cernuschi-Frías's work include Advanced Vision and Imaging (17 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Image and Object Detection Techniques (8 papers). Bruno Cernuschi-Frías is often cited by papers focused on Advanced Vision and Imaging (17 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Image and Object Detection Techniques (8 papers). Bruno Cernuschi-Frías collaborates with scholars based in Argentina, France and United States. Bruno Cernuschi-Frías's co-authors include David B. Cooper, Jianfeng Yao, Patrick Bouthémy, David B. Cooper, Élise Arnaud, Yi‐Ping Hung, Peter N. Belhumeur, Étienne Mémin, Yi-Ping Hung and Max E. Valentinuzzi and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Bruno Cernuschi-Frías

52 papers receiving 258 citations

Peers

Bruno Cernuschi-Frías
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 152
  • Aerospace Engineering 50
  • Artificial Intelligence 41
  • Signal Processing 32
  • Media Technology 25
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Citations per field, relative to Bruno Cernuschi-Frías
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Citations per year, relative to Bruno Cernuschi-Frías
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Countries citing papers authored by Bruno Cernuschi-Frías

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Cernuschi-Frías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Cernuschi-Frías. 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 Bruno Cernuschi-Frías. The network helps show where Bruno Cernuschi-Frías may publish in the future.

Co-authorship network of co-authors of Bruno Cernuschi-Frías

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Cernuschi-Frías. A scholar is included among the top collaborators of Bruno Cernuschi-Frías 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 Bruno Cernuschi-Frías. Bruno Cernuschi-Frías 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
# Work Indexed citations
1 0
2
Robust methods for background extraction in video
1
3 8
4 2
5 1
6 1
7
Mixed-state models in image motion analysis: theory and applications
1
8 2
9
A robust stochastic filter for point tracking in image sequences
1
10 28
11 3
12
The ontogeny of the nervous control of cardiovascular circulation: a neural network model
1
13 3
14
Statistical models for random cache memories
2
15 15
16
Maximum likelihood estimation of parameterized 3-D surfaces using a moving camera
1
17 2
18 20
19 2
20 4

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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