Michele Trevisiol
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Information Systems top 10%
- Sociology and Political Science
- Media Technology
- Co-authors
- Rossano SchifanellaLluís Garcia PueyoYannis AvrithisYannis KalantidisRoelof van ZwolAlejandro JaimesLuca Maria AielloNeil O’Hare
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (5 papers)Geographic Information Systems Studies (2 papers)
- Journals
- arXiv (Cornell University)DSpace - NTUA (National Technical University of Athens)Research Repository (Delft University of Technology)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Michele Trevisiol
8 papers receiving 212 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 60
- Information Systems 55
- Sociology and Political Science 17
- Media Technology 16
Countries citing papers authored by Michele Trevisiol
This map shows the geographic impact of Michele Trevisiol'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 Michele Trevisiol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Trevisiol more than expected).
Fields of papers citing papers by Michele Trevisiol
This network shows the impact of papers produced by Michele Trevisiol. 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 Michele Trevisiol. The network helps show where Michele Trevisiol may publish in the future.
Co-authorship network of co-authors of Michele Trevisiol
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Trevisiol. A scholar is included among the top collaborators of Michele Trevisiol 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 Michele Trevisiol. Michele Trevisiol 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 | 25 | |
| 3 | 31 | |
| 4 | 49 | |
| 5 | Working Notes for the Placing Task at MediaEval 2013 | 16 |
| 6 | 15 | |
| 7 | How INRIA/IRISA identifies Geographic Location of Videos | 5 |
| 8 | 5 | |
| 9 | 82 |
About Michele Trevisiol
Michele Trevisiol is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Museology, having authored 9 papers that have together received 228 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Information Systems (55 citations) and Artificial Intelligence (60 citations). Michele Trevisiol has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Rossano Schifanella, Lluís Garcia Pueyo, Yannis Avrithis, Yannis Kalantidis, Roelof van Zwol, Alejandro Jaimes, Luca Maria Aiello, Neil O’Hare, Мириам Реди and Alejandro Jaimes. Their work appears in journals such as arXiv (Cornell University), DSpace - NTUA (National Technical University of Athens) and Research Repository (Delft University of Technology).
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.