Marco Cristani
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Biomedical Engineering top 2%
- Signal Processing top 2%
- Ocean Engineering top 2%
- Co-authors
- Vittorio MurinoLoris BazzaniAlessandro PerinaMichela FarenzenaGiorgio RoffoDong ChengSimone MelziUmberto Castellani
- Topics
- Video Surveillance and Tracking Methods (51 papers)Advanced Image and Video Retrieval Techniques (29 papers)Image Retrieval and Classification Techniques (26 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marco Cristani
158 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 3.8k
- Artificial Intelligence 1.2k
- Biomedical Engineering 1.1k
- Signal Processing 443
- Ocean Engineering 284
Countries citing papers authored by Marco Cristani
This map shows the geographic impact of Marco Cristani'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 Marco Cristani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cristani more than expected).
Fields of papers citing papers by Marco Cristani
This network shows the impact of papers produced by Marco Cristani. 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 Marco Cristani. The network helps show where Marco Cristani may publish in the future.
Co-authorship network of co-authors of Marco Cristani
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cristani. A scholar is included among the top collaborators of Marco Cristani 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 Marco Cristani. Marco Cristani 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 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 136 | |
| 11 | 81 | |
| 12 | 14 | |
| 13 | 30 | |
| 14 | A Multiple Kernel Learning Approach to Multi-Modal Pedestrian Classification | 2 |
| 15 | Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection | 2 |
| 16 | Look at who's talking | 0 |
| 17 | Free energy score space | 14 |
| 18 | Capturing video structure with mixture of probabilistic index maps | 1 |
| 19 | 8 | |
| 20 | 0 |
About Marco Cristani
Marco Cristani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 173 papers that have together received 5.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (51 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Image Retrieval and Classification Techniques (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Signal Processing (443 citations) and Artificial Intelligence (1.2k citations). Marco Cristani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Vittorio Murino, Loris Bazzani, Alessandro Perina, Michela Farenzena, Giorgio Roffo, Dong Cheng, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli and Alessio Del Bue. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.