Alberto Marchisio

1.2k total citations
46 papers, 544 citations indexed

About

Alberto Marchisio is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alberto Marchisio has authored 46 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Electrical and Electronic Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alberto Marchisio's work include Advanced Memory and Neural Computing (17 papers), Adversarial Robustness in Machine Learning (13 papers) and Advanced Neural Network Applications (13 papers). Alberto Marchisio is often cited by papers focused on Advanced Memory and Neural Computing (17 papers), Adversarial Robustness in Machine Learning (13 papers) and Advanced Neural Network Applications (13 papers). Alberto Marchisio collaborates with scholars based in United Arab Emirates, Austria and Italy. Alberto Marchisio's co-authors include Muhammad Shafique, Maurizio Martina, Guido Masera, Maurizio Capra, Beatrice Bussolino, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Faiq Khalid, Christos Kyrkou and Theocharis Theocharides and has published in prestigious journals such as Scientific Reports, IEEE Access and Frontiers in Neuroscience.

In The Last Decade

Alberto Marchisio

41 papers receiving 532 citations

Peers

Alberto Marchisio
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 275
  • Artificial Intelligence 223
  • Computer Vision and Pattern Recognition 168
  • Computer Networks and Communications 67
  • Hardware and Architecture 67
Replace Omar Eldash with:
Omar Eldash United States
Shimpei Sato Japan
Maurizio Capra Italy
Sungpill Choi South Korea
Zhengang Li United States
Li Du China
Xuefei Ning China
Ahmad Shawahna Saudi Arabia
Vincent Gripon France
Omar Eldash United States View profile →
Citations per field, relative to Alberto Marchisio
Alberto Marchisio · 1×
Citations per year, relative to Alberto Marchisio
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Countries citing papers authored by Alberto Marchisio

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Marchisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Marchisio

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Marchisio. A scholar is included among the top collaborators of Alberto Marchisio 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 Alberto Marchisio. Alberto Marchisio 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 1
2 1
3 0
4 0
5 1
6 1
7 0
8 4
9 4
10 13
11 9
12 3
13 1
14 7
15 127
16 3
17 120
18 1
19 16
20
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?
1

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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