Vito Renò

62 papers receiving 882 citations

Vito Renò's Hit Papers

Artificial intelligence in structural health management of existing bridges 2024 · 55 citations
550+1+2Years since publication255075

Peers

Vito Renò
Comparison fields: 5 of 111
  • Developmental Biology 36
  • Geology 63
  • Computer Vision and Pattern Recognition 195
  • Industrial and Manufacturing Engineering 89
  • Civil and Structural Engineering 189
Replace Jinhai Cai with:
Jinhai Cai Australia
Abhishek Dutta United Kingdom
Richard Lepage Canada
Xiongzhe Han South Korea
R. Padilla Brazil
Guanzhong Wang Germany
Stefan Oehmcke Denmark
Vito Renò relative to Jinhai Cai Australia Jinhai Cai's profile →
Citations per field
00.5×7.9×
Jinhai Cai · 1×
Citations per year

Countries citing papers authored by Vito Renò

Since Specialization
Citations

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

Fields of papers citing papers by Vito Renò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vito Renò, 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 Vito Renò Line = papers co-authored together Vito Renò links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
Hit paper breakdown →
202392
2
Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
Hit paper breakdown →
202387
3 201761
4
Artificial intelligence in structural health management of existing bridges
Hit paper breakdown →
202455
5
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity
Hit paper breakdown →
202450
6 201648
7 201641
8 201834
9 201833
10 202030
11 201929
12 202026
13 202026
14 202023
15 201719
16 202319
17 202018
18 202317
19 202016
20 202516

About Vito Renò

Vito Renò is a scholar working on Computer Vision and Pattern Recognition, Ecology, Civil and Structural Engineering, Aerospace Engineering and Mechanical Engineering, having authored 73 papers that have together received 913 indexed citations. Recurring topics across this work include Marine animal studies overview (12 papers), Infrastructure Maintenance and Monitoring (11 papers), Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (8 papers), Concrete Corrosion and Durability (8 papers), Industrial Vision Systems and Defect Detection (7 papers), Smart Agriculture and AI (7 papers) and Non-Destructive Testing Techniques (7 papers). The work is most often cited by research in Developmental Biology (36 citations), Geology (63 citations), Computer Vision and Pattern Recognition (195 citations), Industrial and Manufacturing Engineering (89 citations) and Civil and Structural Engineering (189 citations). Vito Renò has collaborated with scholars based in Italy, United States and Türkiye. Frequent co-authors include Angelo Cardellicchio, Ettore Stella, Tiziana D’Orazio, Massimiliano Nitti, Roberto Marani, Andrea Nettis, Sergio Ruggieri, Giuseppina Uva, Giovanni Dimauro and Rosalia Maglietta. Their work appears in journals such as IEEE Access, Electronics, Computers and Electronics in Agriculture, Sensors and Optical Engineering.

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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