Alfredo Canziani

1.2k total citations
4 papers, 50 citations indexed

About

Alfredo Canziani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Alfredo Canziani has authored 4 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Civil and Structural Engineering. Recurrent topics in Alfredo Canziani's work include Smart Materials for Construction (1 paper), Structural Health Monitoring Techniques (1 paper) and Neural dynamics and brain function (1 paper). Alfredo Canziani is often cited by papers focused on Smart Materials for Construction (1 paper), Structural Health Monitoring Techniques (1 paper) and Neural dynamics and brain function (1 paper). Alfredo Canziani collaborates with scholars based in Switzerland, France and United Kingdom. Alfredo Canziani's co-authors include Eugenio Culurciello, Adam Paszke, Michele Pozzi, Meiling Zhu, Isidro Durazo-Cardenas, Yann LeCun and Mikael Henaff and has published in prestigious journals such as International Conference on Learning Representations and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Alfredo Canziani

4 papers receiving 46 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alfredo Canziani Switzerland 4 16 14 13 12 8 4 50
Pravin Futane India 6 32 2.0× 15 1.1× 22 1.7× 5 0.4× 3 0.4× 32 98
Katarzyna Węgrzyn-Wolska France 6 4 0.3× 20 1.4× 8 0.6× 5 0.4× 10 1.3× 19 73
Khalid Idrissi France 7 88 5.5× 17 1.2× 9 0.7× 9 0.8× 5 0.6× 22 139
T A Mohanaprakash India 5 22 1.4× 28 2.0× 22 1.7× 7 0.6× 2 0.3× 36 102
Marcin Michalski Poland 4 41 2.6× 38 2.7× 11 0.8× 16 1.3× 3 0.4× 13 111
Xiaoxia Wu United States 3 14 0.9× 33 2.4× 16 1.2× 14 1.2× 6 0.8× 5 69
Boyuan Zheng United States 4 13 0.8× 49 3.5× 8 0.6× 7 0.6× 11 1.4× 13 90
Anusha Nagabandi United States 4 8 0.5× 25 1.8× 12 0.9× 7 0.6× 5 0.6× 6 54
Jérémie Deray Spain 6 50 3.1× 9 0.6× 10 0.8× 8 0.7× 8 1.0× 7 77
G. F. Cao South Korea 6 45 2.8× 18 1.3× 30 2.3× 3 0.3× 4 0.5× 32 105

Countries citing papers authored by Alfredo Canziani

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Canziani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Canziani

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

All Works

4 of 4 papers shown
1.
Henaff, Mikael, Alfredo Canziani, & Yann LeCun. (2019). Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. International Conference on Learning Representations. 6 indexed citations
2.
Canziani, Alfredo, Eugenio Culurciello, & Adam Paszke. (2017). Evaluation of neural network architectures for embedded systems. 31 indexed citations
3.
Canziani, Alfredo & Eugenio Culurciello. (2015). Visual attention with deep neural networks. 4. 1–3. 3 indexed citations
4.
Pozzi, Michele, Alfredo Canziani, Isidro Durazo-Cardenas, & Meiling Zhu. (2012). Experimental characterisation of macro fibre composites and monolithic piezoelectric transducers for strain energy harvesting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8348. 834832–834832. 10 indexed citations

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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