Matteo Roffilli

560 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 51
  • Computer Vision and Pattern Recognition 91
  • Artificial Intelligence 117
  • Structural Biology 3
  • Biophysics 12
  • Radiology, Nuclear Medicine and Imaging 41
Replace V. Megalooikonomou with:
V. Megalooikonomou United States
Leiguang Gong United States
Paolo Andreini Italy
D. Satyanarayana India
Maximilian Tschuchnig Austria
Nigel John United States
Yong Fan China
Ashkan Tashk Iran
Lei Cui China
Mani Abedini Australia
Matteo Roffilli relative to V. Megalooikonomou United States V. Megalooikonomou's profile →
Citations per field
00.5×4.5×
V. Megalooikonomou · 1×
Citations per year

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 200617
3
Robust denoising and moving shadows detection in traffic scenes
200117
4 200815
5 202114
6 20047
7 20104
8 20054
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
Let me participate! Using intelligent agents to support inclusive playing for gamers in disadvantaged conditions
20061
14
A participatory framework to support inclusive multi-playing for gamers in disadvantaged conditions
20061
15
Preliminary results of a featureless CAD system on FFDM images
20041
16 20201

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 Medical Image Segmentation Techniques (3 papers), Peer-to-Peer Network Technologies (3 papers), Cell Image Analysis Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers), Transportation and Mobility Innovations (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (91 citations), Artificial Intelligence (117 citations), Structural Biology (3 citations), Biophysics (12 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Matteo Roffilli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Matteo Masotti, R. Campanini, Nico Lanconelli, Danilo Nicola Dongiovanni, Alessandro Riccardi, Giuseppe Palermo, Vittorio Maniezzo, Alessandro Bevilacqua, Marco Roccetti and Alessandro Lomi. Their work appears in journals such as Biomedical Optics Express, INFORMS journal on computing, Physics in Medicine and Biology, International Journal of Modern Physics C 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.

Explore authors with similar magnitude of impact