Andrea Simonetto

2.6k total citations
76 papers, 1.6k citations indexed

About

Andrea Simonetto is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Andrea Simonetto has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 30 papers in Computer Networks and Communications and 24 papers in Computational Mechanics. Recurrent topics in Andrea Simonetto's work include Sparse and Compressive Sensing Techniques (23 papers), Distributed Control Multi-Agent Systems (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). Andrea Simonetto is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Distributed Control Multi-Agent Systems (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). Andrea Simonetto collaborates with scholars based in Netherlands, Ireland and United States. Andrea Simonetto's co-authors include Geert Leus, Emiliano Dall’Anese, Andreas Loukas, Claudio Gambella, Elvin Isufi, Julien Monteil, Tamás Keviczky, Hadi Jamali‐Rad, Sairaj V. Dhople and Swaroop S. Guggilam and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Andrea Simonetto

73 papers receiving 1.6k citations

Peers

Andrea Simonetto
Comparison fields: 5 of 103
  • Artificial Intelligence 611
  • Computer Networks and Communications 568
  • Electrical and Electronic Engineering 486
  • Control and Systems Engineering 299
  • Computational Mechanics 202
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Citations per field, relative to Andrea Simonetto
Andrea Simonetto · 1×
Citations per year, relative to Andrea Simonetto
Andrea Simonetto · 1×

Countries citing papers authored by Andrea Simonetto

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Simonetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Simonetto

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Simonetto. A scholar is included among the top collaborators of Andrea Simonetto 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 Andrea Simonetto. Andrea Simonetto 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 0
3 0
4 3
5 2
6 4
7 7
8 4
9
Online Optimization with Feedback
5
10 2
11 23
12
Sparsity-aware sensor selection for correlated noise
9
13
On Distributed Optimization, Convex Relaxations, and Sensor Network Localization Problems.
1
14 12
15 17
16 40
17
A mobile network for mobile sensors
6
18
A Mars Communication Constellation For Human Exploration and Network Science
1
19
Influence of the suppression of dry period on several blood and milk markers in dairy cows
1
20 5

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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