Davide Conzon

579 citations
20 papers · 384 · h-index 10

Impact in

Papers in

Davide Conzon

20 papers receiving 360 citations

Peers

Davide Conzon
Comparison fields: 5 of 65
  • Computer Networks and Communications 212
  • Industrial and Manufacturing Engineering 64
  • Medical Laboratory Technology 7
  • Information Systems 95
  • Computer Vision and Pattern Recognition 71
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Mahda Noura Germany
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Citations per field
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Citations per year

Countries citing papers authored by Davide Conzon

Since Specialization
Citations

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

Fields of papers citing papers by Davide Conzon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Conzon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Conzon Line = papers co-authored together Davide Conzon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019112
2 201259
3 201257
4 201535
5 201329
6 201517
7 20209
8 20179
9 20199
10 20219
11 20168
12 20217
13 20196
14 20185
15 20164
16
The CPSwarm Technology for Designing Swarms of Cyber-Physical Systems
20193
17 20113
18
From animal monitoring to early warning systems through the Internet of Things
20131
19
Feature Engineering and Machine Learning Modelling for Predictive Maintenance Based on Production and Stop Events
20211
20
Distributed Simulation for Evolutionary Design of Swarms of Cyber-Physical Systems
20181

About Davide Conzon

Davide Conzon is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Industrial and Manufacturing Engineering and Media Technology, having authored 20 papers that have together received 384 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Context-Aware Activity Recognition Systems (6 papers), Digital Transformation in Industry (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), RFID technology advancements (2 papers), Wireless Body Area Networks (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computer Networks and Communications (212 citations), Industrial and Manufacturing Engineering (64 citations), Medical Laboratory Technology (7 citations), Information Systems (95 citations) and Computer Vision and Pattern Recognition (71 citations). Davide Conzon has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Teodoro Montanaro, C.N. Verdouw, Harald Sundmaeker, Bedir Teki̇nerdoğan, Maurizio A. Spirito, Claudio Pastrone, Riccardo Tomasi, Marco Bazzani, Ferry Pramudianto and Prabhakaran Kasinathan. Their work appears in journals such as IEEE Systems Journal, Computers and Electronics in Agriculture, IEEE Access, Annals of Telecommunications and Zenodo (CERN European Organization for Nuclear Research).

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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