Manuele Bicego
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Molecular Biology
- Information Systems top 10%
- Co-authors
- Vittorio MurinoMário A. T. FigueiredoMássimo TistarelliEnrico GrossoAndrea LagorioMarco CristaniDakshina Ranjan KiskuAjita Rattani
- Topics
- Face and Expression Recognition (20 papers)Anomaly Detection Techniques and Applications (14 papers)Face recognition and analysis (12 papers)
- Partner nations
- ItalyPortugalNetherlands
In The Last Decade
Manuele Bicego
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 785
- Artificial Intelligence 434
- Signal Processing 383
- Molecular Biology 134
- Information Systems 105
Countries citing papers authored by Manuele Bicego
This map shows the geographic impact of Manuele Bicego'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 Manuele Bicego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuele Bicego more than expected).
Fields of papers citing papers by Manuele Bicego
This network shows the impact of papers produced by Manuele Bicego. 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 Manuele Bicego. The network helps show where Manuele Bicego may publish in the future.
Co-authorship network of co-authors of Manuele Bicego
This figure shows the co-authorship network connecting the top 25 collaborators of Manuele Bicego. A scholar is included among the top collaborators of Manuele Bicego 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 Manuele Bicego. Manuele Bicego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 39 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 2D shape recognition using biological sequence alignment tools | 7 |
| 10 | Generative embeddings based on Rician mixtures:Application to kernel-based discriminative classification of magnetic resonance images | 4 |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 90 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 36 | |
| 20 | 4 |
About Manuele Bicego
Manuele Bicego is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Anomaly Detection Techniques and Applications (14 papers) and Face recognition and analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (785 citations), Signal Processing (383 citations) and Artificial Intelligence (434 citations). Manuele Bicego has collaborated with scholars based in Italy, Portugal and Netherlands. Frequent co-authors include Vittorio Murino, Mário A. T. Figueiredo, Mássimo Tistarelli, Enrico Grosso, Andrea Lagorio, Marco Cristani, Dakshina Ranjan Kisku, Ajita Rattani, Alessandro Farinelli and Umberto Castellani. Their work appears in journals such as Sensors and Actuators B Chemical, Pattern Recognition and Neurocomputing.
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.