Michele Svanera

416 citations
11 papers · 257 indexed · h-index 8
Topics
Neural dynamics and brain function (3 papers)Face Recognition and Perception (2 papers)Visual Attention and Saliency Detection (2 papers)

In The Last Decade

Michele Svanera

11 papers receiving 250 citations

Peers

Michele Svanera
Comparison fields: 5 of 66
  • Biomedical Engineering 104
  • Water Science and Technology 69
  • Computer Vision and Pattern Recognition 64
  • Mechanical Engineering 63
  • Computational Mechanics 36
Replace Nigel Smith with:
Nigel Smith Taiwan
Hadi Kalani Iran
Jun Zhong China
Zihao Du China
Alireza Rafiei Iran
Shuhong Cheng China
Yutaka YOKOYAMA Japan
Hengyi Yang China
Peng Kang China
V.K. Gupta India
Michele Svanera relative to Nigel Smith Taiwan Nigel Smith's profile →
Citations per field
00.5×9.3×
Nigel Smith · 1×
Citations per year

Countries citing papers authored by Michele Svanera

Since Specialization
Citations

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

Fields of papers citing papers by Michele Svanera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Svanera

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 15
3 1
4 19
5 5
6 26
7 9
8 15
9 23
10 129
11 11

About Michele Svanera

Michele Svanera is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Polymers and Plastics, having authored 11 papers that have together received 257 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Face Recognition and Perception (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Water Science and Technology (69 citations), Computer Vision and Pattern Recognition (64 citations) and Biomedical Engineering (104 citations). Michele Svanera has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Sergio Benini, Pietro Poesio, Riccardo Leonardi, Lars Muckli, Nicola Adami, Dennis Bontempi, Gal Raz, Giancarlo Valente, Mattia Savardi and Rainer Goebel. Their work appears in journals such as NeuroImage, Human Brain Mapping and Medical Image Analysis.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026