Federico Manuri
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Andrea SannaFrancesco De PaceFabrizio LambertiGianluca ParavatiC. FornaroPaolo MontuschiClaudio Giovanni DemartiniGiovanni Piumatti
- Topics
- Augmented Reality Applications (15 papers)Virtual Reality Applications and Impacts (12 papers)Interactive and Immersive Displays (7 papers)
In The Last Decade
Federico Manuri
26 papers receiving 623 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 372
- Human-Computer Interaction 309
- Industrial and Manufacturing Engineering 115
- Control and Systems Engineering 78
- Mechanical Engineering 69
Countries citing papers authored by Federico Manuri
This map shows the geographic impact of Federico Manuri'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 Federico Manuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Manuri more than expected).
Fields of papers citing papers by Federico Manuri
This network shows the impact of papers produced by Federico Manuri. 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 Federico Manuri. The network helps show where Federico Manuri may publish in the future.
Co-authorship network of co-authors of Federico Manuri
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Manuri. A scholar is included among the top collaborators of Federico Manuri 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 Federico Manuri. Federico Manuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 36 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 64 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | 17 | |
| 16 | 83 | |
| 17 | A Survey on Applications of Augmented Reality | 65 |
| 18 | 22 | |
| 19 | 7 | |
| 20 | 76 |
About Federico Manuri
Federico Manuri is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 27 papers that have together received 669 indexed citations. Recurring topics across this work include Augmented Reality Applications (15 papers), Virtual Reality Applications and Impacts (12 papers) and Interactive and Immersive Displays (7 papers). The work is most often cited by research in Human-Computer Interaction (309 citations), Computer Vision and Pattern Recognition (372 citations) and Industrial and Manufacturing Engineering (115 citations). Federico Manuri has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Andrea Sanna, Francesco De Pace, Fabrizio Lamberti, Gianluca Paravati, C. Fornaro, Paolo Montuschi, Claudio Giovanni Demartini, Giovanni Piumatti, Alberto Messina and Stefania Spada. Their work appears in journals such as IEEE Access, Sustainability and Computers & Industrial 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.