Giovanni Bianco

1.8k total citations
52 papers, 827 citations indexed

About

Giovanni Bianco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Cognitive Neuroscience. According to data from OpenAlex, Giovanni Bianco has authored 52 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Giovanni Bianco's work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Giovanni Bianco is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Giovanni Bianco collaborates with scholars based in Italy, Switzerland and Australia. Giovanni Bianco's co-authors include Símone Rossi, Matteo Feurra, Alessandro Rossi, Emiliano Santarnecchi, Patrizio Pasqualetti, Miriam Lehrer, Fabio Giovannelli, Nicola Riccardo Polizzotto, M. Cincotta and Alessandro Rizzi and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Stroke.

In The Last Decade

Giovanni Bianco

47 papers receiving 803 citations

Peers

Giovanni Bianco
Comparison fields: 5 of 88
  • Cognitive Neuroscience 420
  • Neurology 377
  • Cellular and Molecular Neuroscience 121
  • Neurology 116
  • Epidemiology 99
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Citations per field, relative to Giovanni Bianco
Giovanni Bianco · 1×
Citations per year, relative to Giovanni Bianco
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Countries citing papers authored by Giovanni Bianco

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Bianco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Bianco

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Bianco. A scholar is included among the top collaborators of Giovanni Bianco 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 Giovanni Bianco. Giovanni Bianco 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 13
2 1
3 2
4 10
5 0
6 33
7 11
8 62
9 59
10 1
11 141
12 3
13 33
14 184
15 33
16 4
17 2
18
Biologically-inspired visual landmark learning for mobile robots
1
19 23
20
A Biologically-inspired Visual Landmark Navigation for Mobile Robots
2

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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