Lucio Marcenaro
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 5%
- Co-authors
- Carlo S. RegazzoniPietro MorerioDavid MartínLuca MarchesottiMohamad BaydounGian Luca ForestiG. VernazzaMatthias Rauterberg
- Topics
- Anomaly Detection Techniques and Applications (54 papers)Video Surveillance and Tracking Methods (48 papers)Time Series Analysis and Forecasting (24 papers)
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Lucio Marcenaro
166 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 807
- Artificial Intelligence 605
- Computer Networks and Communications 362
- Electrical and Electronic Engineering 308
- Aerospace Engineering 263
Countries citing papers authored by Lucio Marcenaro
This map shows the geographic impact of Lucio Marcenaro'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 Lucio Marcenaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucio Marcenaro more than expected).
Fields of papers citing papers by Lucio Marcenaro
This network shows the impact of papers produced by Lucio Marcenaro. 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 Lucio Marcenaro. The network helps show where Lucio Marcenaro may publish in the future.
Co-authorship network of co-authors of Lucio Marcenaro
This figure shows the co-authorship network connecting the top 25 collaborators of Lucio Marcenaro. A scholar is included among the top collaborators of Lucio Marcenaro 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 Lucio Marcenaro. Lucio Marcenaro 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 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 40 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 25 | |
| 19 | 10 | |
| 20 | 17 |
About Lucio Marcenaro
Lucio Marcenaro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 180 papers that have together received 1.7k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (54 papers), Video Surveillance and Tracking Methods (48 papers) and Time Series Analysis and Forecasting (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (807 citations), Human-Computer Interaction (105 citations) and Artificial Intelligence (605 citations). Lucio Marcenaro has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Carlo S. Regazzoni, Pietro Morerio, David Martín, Luca Marchesotti, Mohamad Baydoun, Gian Luca Foresti, G. Vernazza, Matthias Rauterberg, Alejandro Betancourt and Bernhard Rinner. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Access.
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.