Manuele Bicego

1.3k citations
35 papers · 769 indexed · h-index 13
Topics
Face and Expression Recognition (4 papers)Video Surveillance and Tracking Methods (4 papers)Image Retrieval and Classification Techniques (3 papers)

In The Last Decade

Manuele Bicego

34 papers receiving 740 citations

Peers

Manuele Bicego
Comparison fields: 5 of 115
  • Plant Science 265
  • Molecular Biology 263
  • Computer Vision and Pattern Recognition 169
  • Artificial Intelligence 133
  • Food Science 90
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Eunsoo Park South Korea
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Citations per year

Countries citing papers authored by Manuele Bicego

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed citations
1 4
2 8
3 6
4 8
5 9
6 9
7
Biclustering gene expressions using factor graphs and the max-sum algorithm
5
8
Documents as multiple overlapping windows into grids of counts
7
9
C-link: a hierarchical clustering approach to large-scale near-optimal coalition formation
15
10 4
11 33
12
Genome classification by dictionary-based indexes
2
13 16
14 12
15
Face-pair scrutiny - subject-type classification
1
16 15
17 63
18 13
19 8
20 9

About Manuele Bicego

Manuele Bicego is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 769 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Plant Science (265 citations) and Signal Processing (69 citations). Manuele Bicego has collaborated with scholars based in Italy, United States and Portugal. Frequent co-authors include Vittorio Murino, Giovanni Battista Tornielli, Andrea Porceddu, Lorenzo Farina, Mario Pezzotti, Massimo Delledonne, Marianna Fasoli, Sara Zenoni, Anita Zamboni and Silvia Dal Santo. Their work appears in journals such as Journal of Neuroscience, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

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