Federico Cruciani
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Co-authors
- Chris NugentIan ClelandPaul McCullaghLiming ChenKonstantinos VotisAnastasios VafeiadisDimitrios GiakoumisDimitrios Tzovaras
- Topics
- Context-Aware Activity Recognition Systems (14 papers)Anomaly Detection Techniques and Applications (6 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAdvanced Energy Materials
- Partner nations
- United KingdomSpainSweden
In The Last Decade
Federico Cruciani
24 papers receiving 307 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 189
- Biomedical Engineering 75
- Artificial Intelligence 72
- Computer Networks and Communications 69
- Cognitive Neuroscience 35
Countries citing papers authored by Federico Cruciani
This map shows the geographic impact of Federico Cruciani'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 Cruciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Cruciani more than expected).
Fields of papers citing papers by Federico Cruciani
This network shows the impact of papers produced by Federico Cruciani. 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 Cruciani. The network helps show where Federico Cruciani may publish in the future.
Co-authorship network of co-authors of Federico Cruciani
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Cruciani. A scholar is included among the top collaborators of Federico Cruciani 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 Cruciani. Federico Cruciani 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 | 2 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 99 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 23 | |
| 16 | 43 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 36 | |
| 20 | 3 |
About Federico Cruciani
Federico Cruciani is a scholar working on Computer Vision and Pattern Recognition, Demography and Occupational Therapy, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), Anomaly Detection Techniques and Applications (6 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Human-Computer Interaction (17 citations) and Computer Networks and Communications (69 citations). Federico Cruciani has collaborated with scholars based in United Kingdom, Spain and Sweden. Frequent co-authors include Chris Nugent, Ian Cleland, Paul McCullagh, Liming Chen, Konstantinos Votis, Anastasios Vafeiadis, Dimitrios Giakoumis, Dimitrios Tzovaras, Raouf Hamzaoui and Josef Hallberg. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Energy Materials.
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.