Nino Cauli
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Diego Reforgiato RecuperoJosé Santos-VictorFilippo CavalloJaeseok KimThanassis GiannetsosInna NovalijaSofia Anna MenesidouEgidio Falotico
- Topics
- Robot Manipulation and Learning (8 papers)Human Pose and Action Recognition (6 papers)Advanced Vision and Imaging (5 papers)
In The Last Decade
Nino Cauli
19 papers receiving 288 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Industrial and Manufacturing Engineering 96
- Control and Systems Engineering 66
- Computer Vision and Pattern Recognition 66
- Artificial Intelligence 53
- Biomedical Engineering 45
Countries citing papers authored by Nino Cauli
This map shows the geographic impact of Nino Cauli'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 Nino Cauli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nino Cauli more than expected).
Fields of papers citing papers by Nino Cauli
This network shows the impact of papers produced by Nino Cauli. 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 Nino Cauli. The network helps show where Nino Cauli may publish in the future.
Co-authorship network of co-authors of Nino Cauli
This figure shows the co-authorship network connecting the top 25 collaborators of Nino Cauli. A scholar is included among the top collaborators of Nino Cauli 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 Nino Cauli. Nino Cauli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Human-centric artificial intelligence architecture for industry 5.0 applicationsbreakdown → | 137 |
| 5 | 26 | |
| 6 | 3 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 4 |
About Nino Cauli
Nino Cauli is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 19 papers that have together received 297 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Human Pose and Action Recognition (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (96 citations), Management Information Systems (33 citations) and Computer Vision and Pattern Recognition (66 citations). Nino Cauli has collaborated with scholars based in Italy, Portugal and Germany. Frequent co-authors include Diego Reforgiato Recupero, José Santos-Victor, Filippo Cavallo, Jaeseok Kim, Thanassis Giannetsos, Inna Novalija, Sofia Anna Menesidou, Egidio Falotico, Dunja Mladenić and Cecilia Laschi. Their work appears in journals such as IEEE Access, International Journal of Production Research and Autonomous Robots.
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.