Filippo Zanella

12 papers receiving 386 citations

Peers

Filippo Zanella
Comparison fields: 5 of 61
  • Computer Networks and Communications 267
  • Plant Science 77
  • Artificial Intelligence 67
  • Electrical and Electronic Engineering 56
  • Computational Mechanics 52
Replace Xiaoqiang Zhao with:
Xiaoqiang Zhao China
Juan Carlos Seck-Tuoh-Mora Mexico
Jennie Cochran United States
Hans-Bernd Dürr Germany
Ramón Albajes García Spain
Necmi Taşpınar Türkiye
Héctor Migallón Spain
Yun Hee Kim South Korea
Rongqiang Tang China
Filippo Zanella relative to Xiaoqiang Zhao China Xiaoqiang Zhao's profile →
Citations per field
00.5×8.7×
Xiaoqiang Zhao · 1×
Citations per year

Countries citing papers authored by Filippo Zanella

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Zanella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Zanella

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Zanella. A scholar is included among the top collaborators of Filippo Zanella 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 Filippo Zanella. Filippo Zanella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 38
2 60
3 145
4 18
5 3
6 27
7 1
8 14
9 3
10 69
11
Distributed convex optimization: a consensus-based Newton-Raphson approach
1
12
RF Localization and tracking of mobile nodes in Wireless Sensors Networks: Architectures, Algorithms and Experiments
20

About Filippo Zanella

Filippo Zanella is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computational Theory and Mathematics, having authored 12 papers that have together received 399 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (9 papers), Neural Networks Stability and Synchronization (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (267 citations), Computational Mechanics (52 citations) and Artificial Intelligence (67 citations). Filippo Zanella has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Angelo Cenedese, Luca Schenato, Damiano Varagnolo, Gianluigi Pillonetto, Barbara Baldan, Alessandra Tondello, Nicola Bordin, Stefania Marcato, Fabio Pasqualetti and Enrico Baldan. Their work appears in journals such as IEEE Transactions on Automatic Control, PLANT PHYSIOLOGY and IEEE Transactions on Control Systems Technology.

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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