Alessandro Bruno

997 citations
36 papers · 567 indexed · h-index 12
Topics
Visual Attention and Saliency Detection (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (5 papers)
Partner nations
ItalyUnited KingdomIndia

In The Last Decade

Alessandro Bruno

33 papers receiving 536 citations

Peers

Alessandro Bruno
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 391
  • Media Technology 153
  • Artificial Intelligence 144
  • Radiology, Nuclear Medicine and Imaging 105
  • Biophysics 76
Replace Fouad Khelifi with:
Fouad Khelifi United Kingdom
Dan Tu China
Md. Khayrul Bashar Japan
Jen‐Chun Lee Taiwan
David Güera United States
Belhassen Bayar United States
Diaa Uliyan Jordan
Akshay Girdhar India
Hae-Yeoun Lee South Korea
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Alessandro Bruno relative to Fouad Khelifi United Kingdom Fouad Khelifi's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Alessandro Bruno

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Bruno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Bruno

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Bruno. A scholar is included among the top collaborators of Alessandro Bruno 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 Alessandro Bruno. Alessandro Bruno 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
#WorkIndexed citations
1 10
2 1
3 0
4 0
5 12
6 18
7 2
8 4
9 6
10 66
11 4
12 21
13 1
14 15
15 4
16 198
17
Psicosi: integrazione della sintomatologia, ristrutturazione dell'Io, riorganizzazione del Sè
2
18 4
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IMAGE QUALITY ASSESSMENT BY SALIENCY MAPS
3
20 42

About Alessandro Bruno

Alessandro Bruno is a scholar working on Computer Vision and Pattern Recognition, Space and Planetary Science and Human-Computer Interaction, having authored 36 papers that have together received 567 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Media Technology (153 citations) and Biophysics (76 citations). Alessandro Bruno has collaborated with scholars based in Italy, United Kingdom and India. Frequent co-authors include Edoardo Ardizzone, Giuseppe Mazzola, Samir Patel, Paawan Sharma, Parita Oza, Festus Fatai Adedoyin, Roberto Pirrone, Massimo Midiri, Salvatore Vitabile and Chintan Bhatt. Their work appears in journals such as IEEE Access, Soft Matter and IEEE Transactions on Neural Networks and Learning Systems.

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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