Luca Minciullo
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Rheumatology
- Co-authors
- Lorenzo GarattoniGianpiero FrancescaSrijan DasRui DaiT.F. CootesFabian ManhardtFrançois BrémondDavid T. Felson
- Topics
- Human Pose and Action Recognition (4 papers)Osteoarthritis Treatment and Mechanisms (3 papers)Musculoskeletal synovial abnormalities and treatments (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAnnals of the Rheumatic DiseasesResearch Explorer (The University of Manchester)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Luca Minciullo
9 papers receiving 164 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 63
- Biomedical Engineering 51
- Human-Computer Interaction 26
- Rheumatology 16
Countries citing papers authored by Luca Minciullo
This map shows the geographic impact of Luca Minciullo'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 Luca Minciullo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Minciullo more than expected).
Fields of papers citing papers by Luca Minciullo
This network shows the impact of papers produced by Luca Minciullo. 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 Luca Minciullo. The network helps show where Luca Minciullo may publish in the future.
Co-authorship network of co-authors of Luca Minciullo
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Minciullo. A scholar is included among the top collaborators of Luca Minciullo 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 Luca Minciullo. Luca Minciullo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 20 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 101 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 15 |
About Luca Minciullo
Luca Minciullo is a scholar working on Rheumatology, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 9 papers that have together received 168 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Human-Computer Interaction (26 citations) and Artificial Intelligence (63 citations). Luca Minciullo has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Lorenzo Garattoni, Gianpiero Francesca, Srijan Das, Rui Dai, T.F. Cootes, Fabian Manhardt, François Brémond, David T. Felson, Nassir Navab and Pengyuan Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Annals of the Rheumatic Diseases and Research Explorer (The University of Manchester).
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.