Mattia Savardi

909 total citations · 1 hit paper
29 papers, 566 citations indexed

About

Mattia Savardi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Mattia Savardi has authored 29 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Media Technology. Recurrent topics in Mattia Savardi's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Video Analysis and Summarization (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Mattia Savardi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Video Analysis and Summarization (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Mattia Savardi collaborates with scholars based in Italy, United Kingdom and United States. Mattia Savardi's co-authors include Alberto Signoroni, Sergio Benini, Davide Farina, Alessandro Ferrari, Roberto Maroldi, Marco Ravanelli, Andrea Borghesi, Nicola Adami, Riccardo Leonardi and Katalin Bálint and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Medical Image Analysis.

In The Last Decade

Mattia Savardi

26 papers receiving 547 citations

Hit Papers

Deep Learning Meets Hyperspectral Image Analysis: A Multi... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
    2019 262 citations Alberto Signoroni, Mattia Savardi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mattia Savardi Italy 11 146 143 118 114 78 29 566
Rahul Nijhawan India 11 281 1.9× 45 0.3× 193 1.6× 128 1.1× 20 0.3× 38 598
Anabia Sohail Pakistan 14 290 2.0× 35 0.2× 320 2.7× 204 1.8× 49 0.6× 23 732
Md. Mostafa Kamal Sarker United Kingdom 10 124 0.8× 47 0.3× 163 1.4× 117 1.0× 27 0.3× 33 435
Hüseyin Fırat Türkiye 10 47 0.3× 149 1.0× 67 0.6× 81 0.7× 19 0.2× 35 334
Karamjeet Singh India 11 85 0.6× 93 0.7× 144 1.2× 212 1.9× 13 0.2× 27 466
Siti Raihanah Abdani Malaysia 14 294 2.0× 31 0.2× 98 0.8× 162 1.4× 11 0.1× 30 489
S. Deivalakshmi India 10 124 0.8× 83 0.6× 127 1.1× 164 1.4× 8 0.1× 59 395
Kenneth Laws Australia 9 114 0.8× 71 0.5× 169 1.4× 232 2.0× 45 0.6× 14 655
Imanol Luengo United Kingdom 11 51 0.3× 8 0.1× 55 0.5× 88 0.8× 32 0.4× 26 525
Yuncong Feng China 12 48 0.3× 159 1.1× 86 0.7× 242 2.1× 12 0.2× 30 444

Countries citing papers authored by Mattia Savardi

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Savardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Savardi

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Savardi. A scholar is included among the top collaborators of Mattia Savardi 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 Mattia Savardi. Mattia Savardi 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
1.
Benini, Sergio, et al.. (2025). Exploring the Creative Potential of AI in Filmmaking. Institutional Research Information System (Università degli Studi di Brescia). 24–30. 1 indexed citations
2.
Savardi, Mattia, et al.. (2025). Bimodal ECG and PCG Cardiovascular Disease Detection: Exploring the Potential and Modality Contribution. Journal of Medical Systems. 49(1). 113–113.
3.
Savardi, Mattia, Alberto Signoroni, Sergio Benini, et al.. (2025). Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic. Insights into Imaging. 16(1). 23–23. 5 indexed citations
4.
Svanera, Michele, Mattia Savardi, Alberto Signoroni, Sergio Benini, & Lars Muckli. (2024). Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. Medical Image Analysis. 93. 103090–103090. 4 indexed citations
5.
Savardi, Mattia, et al.. (2024). Harnessing ChatGPT dialogues to address claustrophobia in MRI - A radiographers' education perspective. Radiography. 30(3). 737–744. 8 indexed citations
6.
Savardi, Mattia, et al.. (2024). Lidar Depth Map Guided Image Compression Model. 1890–1896.
7.
8.
Signoroni, Alberto, et al.. (2023). Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology. Nature Communications. 14(1). 6874–6874. 22 indexed citations
9.
Savardi, Mattia, et al.. (2023). Recognition of Camera Angle and Camera Level in Movies from Single Frames. Institutional Research Information System (Università degli Studi di Brescia). 79–85. 2 indexed citations
10.
Savardi, Mattia, et al.. (2023). CineScale2: a dataset of cinematic camera features in movies. Data in Brief. 51. 109627–109627. 1 indexed citations
11.
D’Ancona, Giuseppe, Mauro Massussi, Mattia Savardi, et al.. (2022). Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD. International Journal of Cardiology. 370. 435–441. 13 indexed citations
12.
Signoroni, Alberto, Mattia Savardi, Sergio Benini, et al.. (2021). BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Medical Image Analysis. 71. 102046–102046. 92 indexed citations
13.
Tamburić, Slobodanka, et al.. (2021). Artificial Intelligence in hair research: A proof‐of‐concept study on evaluating hair assembly features. International Journal of Cosmetic Science. 43(4). 405–418. 6 indexed citations
14.
Savardi, Mattia, et al.. (2021). DenseMatch: a dataset for real-time 3D reconstruction. SHILAP Revista de lepidopterología. 39. 107476–107476. 5 indexed citations
15.
Savardi, Mattia, et al.. (2021). Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction. Computers & Graphics. 99. 54–69. 4 indexed citations
16.
Savardi, Mattia, et al.. (2020). Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment. SHILAP Revista de lepidopterología. 31. 105964–105964. 1 indexed citations
17.
18.
Benini, Sergio, et al.. (2020). ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients. SHILAP Revista de lepidopterología. 34. 106635–106635. 4 indexed citations
19.
Svanera, Michele, Mattia Savardi, Sergio Benini, et al.. (2019). Transfer learning of deep neural network representations for fMRI decoding. Journal of Neuroscience Methods. 328. 108319–108319. 19 indexed citations
20.
Savardi, Mattia, Alessandro Ferrari, & Alberto Signoroni. (2017). Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates. Computer Methods and Programs in Biomedicine. 156. 13–24. 24 indexed citations

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

Breakdown of academic impact, for papers by Rahul Nijhawan Breakdown of academic impact, for papers by Anabia Sohail Breakdown of academic impact, for papers by Md. Mostafa Kamal Sarker Breakdown of academic impact, for papers by Hüseyin Fırat Breakdown of academic impact, for papers by Karamjeet Singh Breakdown of academic impact, for papers by Siti Raihanah Abdani Breakdown of academic impact, for papers by S. Deivalakshmi Breakdown of academic impact, for papers by Kenneth Laws Breakdown of academic impact, for papers by Imanol Luengo Breakdown of academic impact, for papers by Yuncong Feng
Rankless by CCL
2026