Davide Benvenuti

539 citations
10 papers · 397 indexed · h-index 5
Topics
Target Tracking and Data Fusion in Sensor Networks (5 papers)Distributed Sensor Networks and Detection Algorithms (3 papers)3D Surveying and Cultural Heritage (3 papers)
Partner nations
AustraliaSingaporeItaly

In The Last Decade

Davide Benvenuti

8 papers receiving 368 citations

Peers

Davide Benvenuti
Comparison fields: 5 of 51
  • Artificial Intelligence 336
  • Aerospace Engineering 257
  • Control and Systems Engineering 102
  • Computer Networks and Communications 62
  • Electrical and Electronic Engineering 37
Replace Hans Driessen with:
Hans Driessen Netherlands
Mark Rutten Australia
Mingming Bai China
Junhui Qian China
L. Timmoneri Italy
Jérémie Houssineau United Kingdom
S.M. Tonissen Australia
A. Marrs United Kingdom
G. van Keuk Germany
E.A. Bloem Netherlands
Davide Benvenuti relative to Hans Driessen Netherlands Hans Driessen's profile →
Citations per field
00.5×1.5×2.2×
Hans Driessen · 1×
Citations per year

Countries citing papers authored by Davide Benvenuti

Since Specialization
Citations

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

Fields of papers citing papers by Davide Benvenuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Benvenuti

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 3
6 87
7 16
8 13
9 272
10 4

About Davide Benvenuti

Davide Benvenuti is a scholar working on Conservation, Geology and Museology, having authored 10 papers that have together received 397 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Artificial Intelligence (336 citations), Aerospace Engineering (257 citations) and Control and Systems Engineering (102 citations). Davide Benvenuti has collaborated with scholars based in Australia, Singapore and Italy. Frequent co-authors include Branko Ristić, Alfonso Farina, M.S. Arulampalam, Hock Soon Seah, Sergio M. Savaresi, Matteo Corno and Antonio Conconi. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Signal Processing and Computers & Graphics.

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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