Matteo Roffilli

556 citations
16 papers · 183 · h-index 6

Impact in

Papers in

Matteo Roffilli

16 papers receiving 169 citations

Peers

Matteo Roffilli
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 94
  • Artificial Intelligence 117
  • Structural Biology 3
  • Biophysics 12
  • Radiology, Nuclear Medicine and Imaging 43
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Countries citing papers authored by Matteo Roffilli

Since Specialization
Citations

This map shows the geographic impact of Matteo Roffilli'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 Matteo Roffilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Roffilli more than expected).

Fields of papers citing papers by Matteo Roffilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Roffilli. 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 Matteo Roffilli. The network helps show where Matteo Roffilli may publish in the future.

Co-authors

The 25 scholars most cited alongside Matteo Roffilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matteo Roffilli Line = papers co-authored together Matteo Roffilli links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200491
2
Robust denoising and moving shadows detection in traffic scenes
200117
3 200617
4 200815
5 202114
6 20047
7 20054
8 20104
9 20073
10 20183
11
Practical Origin-Destination traffic flow estimation
20062
12
A fast algorithm for intra-breast segmentation of digital mammograms for CAD systems
20042
13
A participatory framework to support inclusive multi-playing for gamers in disadvantaged conditions
20061
14
Let me participate! Using intelligent agents to support inclusive playing for gamers in disadvantaged conditions
20061
15 20201
16
Preliminary results of a featureless CAD system on FFDM images
20041

About Matteo Roffilli

Matteo Roffilli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Biophysics and Molecular Biology, having authored 16 papers that have together received 183 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Peer-to-Peer Network Technologies (3 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Reinforcement Learning in Robotics (2 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (94 citations), Artificial Intelligence (117 citations), Structural Biology (3 citations), Biophysics (12 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). Matteo Roffilli has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Matteo Masotti, R. Campanini, Nico Lanconelli, Vittorio Maniezzo, Giuseppe Palermo, Alessandro Riccardi, Danilo Nicola Dongiovanni, Alessandro Bevilacqua, Marco Roccetti and Alessandro Lomi. Their work appears in journals such as International Journal of Modern Physics C, Biomedical Optics Express, INFORMS journal on computing, Physics in Medicine and Biology and Cybernetics & Systems.

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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