Christian Micheloni
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Co-authors
- Gian Luca ForestiNiki MartinelClaudio PiciarelliLauro SnidaroBernhard RinnerMatteo DunnhoferZahid AkhtarAlfredo Gardel
- Topics
- Video Surveillance and Tracking Methods (69 papers)Advanced Image and Video Retrieval Techniques (25 papers)Advanced Vision and Imaging (22 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingSensors
- Partner nations
- ItalySingaporeUnited States
In The Last Decade
Christian Micheloni
130 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 1.8k
- Artificial Intelligence 649
- Biomedical Engineering 522
- Computer Networks and Communications 364
- Signal Processing 274
Countries citing papers authored by Christian Micheloni
This map shows the geographic impact of Christian Micheloni'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 Christian Micheloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Micheloni more than expected).
Fields of papers citing papers by Christian Micheloni
This network shows the impact of papers produced by Christian Micheloni. 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 Christian Micheloni. The network helps show where Christian Micheloni may publish in the future.
Co-authorship network of co-authors of Christian Micheloni
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Micheloni. A scholar is included among the top collaborators of Christian Micheloni 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 Christian Micheloni. Christian Micheloni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 24 | |
| 13 | 2 | |
| 14 | Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details | 9 |
| 15 | 35 | |
| 16 | 57 | |
| 17 | 46 | |
| 18 | 63 | |
| 19 | 31 | |
| 20 | 2 |
About Christian Micheloni
Christian Micheloni is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 130 papers that have together received 2.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (69 papers), Advanced Image and Video Retrieval Techniques (25 papers) and Advanced Vision and Imaging (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (274 citations) and Artificial Intelligence (649 citations). Christian Micheloni has collaborated with scholars based in Italy, Singapore and United States. Frequent co-authors include Gian Luca Foresti, Niki Martinel, Claudio Piciarelli, Lauro Snidaro, Bernhard Rinner, Matteo Dunnhofer, Zahid Akhtar, Alfredo Gardel, Jorge García and Paolo Remagnino. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.
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.