Vito Renò

1.4k total citations · 4 hit papers
73 papers, 913 citations indexed

About

Vito Renò is a scholar working on Computer Vision and Pattern Recognition, Ecology and Civil and Structural Engineering. According to data from OpenAlex, Vito Renò has authored 73 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 16 papers in Ecology and 12 papers in Civil and Structural Engineering. Recurrent topics in Vito Renò's work include Marine animal studies overview (12 papers), Infrastructure Maintenance and Monitoring (11 papers) and 3D Surveying and Cultural Heritage (8 papers). Vito Renò is often cited by papers focused on Marine animal studies overview (12 papers), Infrastructure Maintenance and Monitoring (11 papers) and 3D Surveying and Cultural Heritage (8 papers). Vito Renò collaborates with scholars based in Italy, United States and Türkiye. Vito Renò's 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 and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Vito Renò

62 papers receiving 882 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors

2023 92 citations Angelo Cardellicchio, Giovanni Dimauro et al. profile →
Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage

2023 87 citations Angelo Cardellicchio, Sergio Ruggieri et al. Engineering Failure Analysis profile →
Artificial intelligence in structural health management of existing bridges

2024 55 citations Angelo Cardellicchio, Sergio Ruggieri et al. Automation in Construction profile →
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity

2024 50 citations Angelo Cardellicchio, Giovanni Dimauro et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vito Renò Italy	18	195	194	189	129	89	73	913
Dawei Li China	13	201 1.0×	135 0.7×	219 1.2×	261 2.0×	148 1.7×	49	965
Jing Xie China	22	81 0.4×	191 1.0×	240 1.3×	184 1.4×	90 1.0×	70	1.2k
Dimitrios S. Paraforos Germany	20	82 0.4×	254 1.3×	253 1.3×	706 5.5×	46 0.5×	67	1.2k
Flavio Prieto Colombia	20	322 1.7×	123 0.6×	55 0.3×	311 2.4×	243 2.7×	139	1.5k
Diana‐Margarita Córdova‐Esparza Mexico	9	543 2.8×	58 0.3×	98 0.5×	186 1.4×	165 1.9×	40	1.4k
Julio-Alejandro Romero-González Mexico	6	467 2.4×	55 0.3×	90 0.5×	176 1.4×	159 1.8×	21	1.2k
Ola Ringdahl Sweden	14	111 0.6×	85 0.4×	42 0.2×	411 3.2×	48 0.5×	32	763
Zhouzhou Zheng China	15	237 1.2×	69 0.4×	92 0.5×	182 1.4×	159 1.8×	32	634
Juan Terven Mexico	11	564 2.9×	58 0.3×	94 0.5×	190 1.5×	168 1.9×	35	1.5k

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-authorship network of co-authors of Vito Renò

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cardellicchio, Angelo, et al.. (2025). Computer vision-based seismic assessment of RC simply supported bridges characterized by corroded circular piers. Bulletin of Earthquake Engineering. 23(15). 6771–6800.

Cardellicchio, Angelo, et al.. (2025). A probabilistic approach for evaluating crack defects in reinforced concrete bridges. 59–59.

Cardellicchio, Angelo, et al.. (2025). Unsupervised learning techniques for finding missing bolts in railways combining 3D data, deep learning, and weighted content loss. 61–61.

Ruggieri, Sergio, Angelo Cardellicchio, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2024). Automatic detection of typical defects in reinforced concrete bridges via YOLOv5. Procedia Structural Integrity. 62. 129–136. 4 indexed citations

Mosca, Nicola, et al.. (2024). VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view. Results in Engineering. 24. 103168–103168. 1 indexed citations

Cardellicchio, Angelo, et al.. (2024). Artificial intelligence in structural health management of existing bridges. Automation in Construction. 167. 105719–105719. 55 indexed citations breakdown →

Renò, Vito, et al.. (2024). AI-assisted image analysis and physiological validation for progressive drought detection in a diverse panel of Gossypium hirsutum L.. Frontiers in Plant Science. 14. 1305292–1305292. 1 indexed citations

Renò, Vito, et al.. (2024). Multimodal People Re-Identification Using 3D Skeleton, Depth, and Color Information. IEEE Access. 12. 174689–174704. 1 indexed citations

Renò, Vito, et al.. (2024). A Wavelet-Based Method for Defect Detection in Aircraft Components by Using Ultrasonic Technology. 513–518. 1 indexed citations

10.

Renò, Vito, et al.. (2024). Vision-based omnidirectional indoor robots for autonomous navigation and localization in manufacturing industry. Heliyon. 10(4). e26042–e26042. 4 indexed citations

11.

Cardellicchio, Angelo, Sergio Ruggieri, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2023). Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage. Engineering Failure Analysis. 149. 107237–107237. 87 indexed citations breakdown →

12.

Summa, M. Di, et al.. (2023). A Review on Deep Learning Techniques for Railway Infrastructure Monitoring. IEEE Access. 11. 114638–114661. 5 indexed citations

13.

Negri, Simone, et al.. (2023). An integrated tool for semi-automatic repair of CFRP laminates and non-destructive quality control. 8–8. 1 indexed citations

14.

Cardellicchio, Angelo, Massimiliano Nitti, Nicola Mosca, et al.. (2023). Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence. Journal of Intelligent Manufacturing. 35(4). 1629–1648. 19 indexed citations

15.

Cardellicchio, Angelo, Sergio Ruggieri, Andrea Nettis, et al.. (2023). On the use of YOLOv5 for detecting common defects on existing RC bridges. 15–15. 12 indexed citations

16.

Cardellicchio, Angelo, et al.. (2023). A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping. Information. 14(4). 214–214. 12 indexed citations

17.

Summa, M. Di, et al.. (2023). Better virtual objects placement in real world through photogrammetry for object recognition and spatial anchoring. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 121–121. 1 indexed citations

18.

Renò, Vito, et al.. (2022). Optical encoder neural network: a CNN-based optical encoder for robot localization. Optical Engineering. 62(3). 2 indexed citations

19.

Maglietta, Rosalia, Vito Renò, Giulia Cipriano, et al.. (2018). DolFin: an innovative digital platform for studying Risso’s dolphins in the Northern Ionian Sea (North-eastern Central Mediterranean). Scientific Reports. 8(1). 17185–17185. 33 indexed citations

20.

Renò, Vito, Nicola Mosca, Massimiliano Nitti, et al.. (2017). A technology platform for automatic high-level tennis game analysis. Computer Vision and Image Understanding. 159. 164–175. 19 indexed citations

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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