Emanuele Garone

4.6k total citations · 2 hit papers
211 papers, 3.3k citations indexed

About

Emanuele Garone is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Emanuele Garone has authored 211 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Control and Systems Engineering, 61 papers in Computer Networks and Communications and 29 papers in Aerospace Engineering. Recurrent topics in Emanuele Garone's work include Advanced Control Systems Optimization (72 papers), Adaptive Control of Nonlinear Systems (39 papers) and Distributed Control Multi-Agent Systems (30 papers). Emanuele Garone is often cited by papers focused on Advanced Control Systems Optimization (72 papers), Adaptive Control of Nonlinear Systems (39 papers) and Distributed Control Multi-Agent Systems (30 papers). Emanuele Garone collaborates with scholars based in Belgium, Italy and United States. Emanuele Garone's co-authors include Alessandro Casavola, Bruno Sinopoli, Marco M. Nicotra, Ilya Kolmanovsky, Yilin Mo, Stefano Di Cairano, Roberto Naldi, Mehdi Hosseinzadeh, Andrea Gasparri and Francesco Tedesco and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Emanuele Garone

201 papers receiving 3.2k citations

Hit Papers

False data injection attacks against state estimation in ... 2010 2026 2015 2020 2010 2016 100 200 300

Peers

Emanuele Garone
Comparison fields: 5 of 109
  • Control and Systems Engineering 2.2k
  • Computer Networks and Communications 983
  • Aerospace Engineering 468
  • Computer Vision and Pattern Recognition 463
  • Electrical and Electronic Engineering 407
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Citations per field, relative to Emanuele Garone
Emanuele Garone · 1×
Citations per year, relative to Emanuele Garone
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Countries citing papers authored by Emanuele Garone

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Garone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Garone

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Garone. A scholar is included among the top collaborators of Emanuele Garone 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 Emanuele Garone. Emanuele Garone 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 2
3 0
4 0
5 4
6 7
7 0
8 4
9 2
10 0
11 0
12 2
13 2
14 3
15 19
16 23
17
The Explicit Reference Governor
2
18 19
19
False Data Injection Attacks for State Estimation in Cyber-Physical Systems
37
20
Communication Protocols for Optimal Control Over Lossy Networks
2

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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