Alessio Micheli

5.8k citations
148 papers · 3.0k indexed · 1 hit paper · h-index 27
Topics
Neural Networks and Reservoir Computing (56 papers)Neural Networks and Applications (44 papers)Advanced Memory and Neural Computing (39 papers)
Partner nations
ItalyGermanySweden

In The Last Decade

Alessio Micheli

139 papers receiving 2.9k citations

Hit Papers

Deep reservoir computing: A critical experimental analysis20172026202020232017100200300

Peers

Alessio Micheli
Comparison fields: 5 of 157
  • Artificial Intelligence 2.0k
  • Electrical and Electronic Engineering 933
  • Computer Vision and Pattern Recognition 482
  • Computational Theory and Mathematics 287
  • Statistical and Nonlinear Physics 258
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Alessio Micheli

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Micheli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Micheli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Micheli. A scholar is included among the top collaborators of Alessio Micheli 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 Alessio Micheli. Alessio Micheli 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 1
2 0
3 1
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5 2
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9
A Deep Generative Model for Fragment-Based Molecule Generation.
4
10
Probabilistic Learning on Graphs via Contextual Architectures
5
11
Graph generation by sequential edge prediction.
4
12
Pyramidal Graph Echo State Networks
1
13 11
14
RSS-based Robot Localization in Critical Environments using Reservoir Computing
4
15
A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data.
3
16
ESNigma: efficient feature selection for Echo State Networks
5
17
Input-Output Hidden Markov Models for Trees
1
18
Reservoir Computing Forecasting of User Movements from RSS Mote-Class Sensors Measurement
2
19
A Comparative Study of Tree Generative Kernels for Gene Function Prediction
1
20
A Note on Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
1

About Alessio Micheli

Alessio Micheli is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 148 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (56 papers), Neural Networks and Applications (44 papers) and Advanced Memory and Neural Computing (39 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (482 citations) and Statistical and Nonlinear Physics (258 citations). Alessio Micheli has collaborated with scholars based in Italy, Germany and Sweden. Frequent co-authors include Claudio Gallicchio, Luca Pedrelli, Davide Bacciu, Alessandro Sperduti, Marco Podda, Federico Errica, Antonina Starita, Barbara Hammer, Maria Rosaria Tinè and Celia Duce. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.

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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