G. Bianchi

400 total citations
10 papers, 151 citations indexed

About

G. Bianchi is a scholar working on Computer Vision and Pattern Recognition, Insect Science and Aerospace Engineering. According to data from OpenAlex, G. Bianchi has authored 10 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Insect Science and 3 papers in Aerospace Engineering. Recurrent topics in G. Bianchi's work include Augmented Reality Applications (4 papers), Advanced Vision and Imaging (3 papers) and Insect Pest Control Strategies (3 papers). G. Bianchi is often cited by papers focused on Augmented Reality Applications (4 papers), Advanced Vision and Imaging (3 papers) and Insect Pest Control Strategies (3 papers). G. Bianchi collaborates with scholars based in Switzerland, Sweden and Hungary. G. Bianchi's co-authors include Gábor Székely, Matthias Harders, Andrew Polaszek, T. Huddleston, M. G. Fitton, Johann Baumgärtner, V. Delucchi, Gábor J. Székely, Philippe C. Cattin and Christoph Jung and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Bulletin of Entomological Research and Journal of Applied Entomology.

In The Last Decade

G. Bianchi

10 papers receiving 138 citations

Peers

G. Bianchi
Comparison fields: 5 of 39
  • Mechanical Engineering 63
  • Human-Computer Interaction 57
  • Computer Vision and Pattern Recognition 55
  • Cognitive Neuroscience 35
  • Insect Science 33
Replace Yoshito KOBAYASHI with:
Yoshito KOBAYASHI Japan
Sebastian Zambanini Austria
Jean‐Christophe Lombardo France
Daniel Nicolas Hofstadler Austria
Michał Joachimczak Japan
Tim Ziemer Germany
Mostafa Wahby Germany
Md Moklesur Rahman Bangladesh
Kohei Shimasaki Japan
Shengyan Li China
Yoshito KOBAYASHI Japan View profile →
Citations per field, relative to G. Bianchi
G. Bianchi · 1×
Citations per year, relative to G. Bianchi
G. Bianchi · 1×

Countries citing papers authored by G. Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by G. Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Bianchi

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

All Works

10 of 10 papers shown
# Work Indexed citations
1
Probabilistic Orientation Estimation with Matrix Fisher Distributions
1
2
First screening of Batracochytrium salamandrivorans (Bsal) in wild and captive salamanders from Italy
2
3 60
4
High Precision Augmented Reality Haptics
32
5 9
6 6
7 18
8 5
9 11
10 7

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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