Sergio Benini

1.8k total citations · 1 hit paper
61 papers, 1.2k citations indexed

About

Sergio Benini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Sergio Benini has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 18 papers in Signal Processing and 8 papers in Sociology and Political Science. Recurrent topics in Sergio Benini's work include Video Analysis and Summarization (28 papers), Music and Audio Processing (15 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Sergio Benini is often cited by papers focused on Video Analysis and Summarization (28 papers), Music and Audio Processing (15 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Sergio Benini collaborates with scholars based in Italy, United Kingdom and United States. Sergio Benini's co-authors include Riccardo Leonardi, Mattia Savardi, Alberto Signoroni, Luca Canini, Michele Svanera, Nicola Adami, Pierangelo Migliorati, Pietro Poesio, Khalil Khan and Davide Farina and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Human Brain Mapping.

In The Last Decade

Sergio Benini

58 papers receiving 1.2k citations

Hit Papers

Deep Learning Meets Hyperspectral Image Analysis: A Multi... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Benini Italy 18 525 174 173 145 135 61 1.2k
Nanik Suciati Indonesia 20 669 1.3× 95 0.5× 427 2.5× 157 1.1× 93 0.7× 196 1.4k
Jian-Gang Wang Singapore 19 758 1.4× 73 0.4× 135 0.8× 59 0.4× 115 0.9× 71 1.3k
Rehanullah Khan Pakistan 12 211 0.4× 96 0.6× 211 1.2× 31 0.2× 41 0.3× 32 1.1k
Modesto Castrillón-Santana Spain 18 785 1.5× 105 0.6× 162 0.9× 30 0.2× 62 0.5× 75 1.2k
Jaehun Bang South Korea 16 317 0.6× 138 0.8× 217 1.3× 101 0.7× 31 0.2× 30 1.0k
Shilpa Gite India 19 322 0.6× 51 0.3× 319 1.8× 198 1.4× 97 0.7× 92 1.2k
Ghulam Mubashar Hassan Australia 18 238 0.5× 145 0.8× 132 0.8× 182 1.3× 99 0.7× 104 1.1k
Liang Wan China 24 1.8k 3.4× 125 0.7× 233 1.3× 74 0.5× 268 2.0× 112 2.2k
Yuqing Yang China 17 266 0.5× 135 0.8× 190 1.1× 22 0.2× 105 0.8× 83 1.1k
Rahul Chauhan India 10 189 0.4× 45 0.3× 186 1.1× 87 0.6× 36 0.3× 229 767

Countries citing papers authored by Sergio Benini

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Benini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Benini

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Benini. A scholar is included among the top collaborators of Sergio Benini 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 Sergio Benini. Sergio Benini 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.
Leonardi, Riccardo, et al.. (2024). SynthOutdoor: A synthetic dataset for 3D outdoor light estimation. Data in Brief. 55. 110700–110700.
4.
Benini, Sergio, et al.. (2024). External validation of SpineNetV2 on a comprehensive set of radiological features for grading lumbosacral disc pathologies. North American Spine Society Journal (NASSJ). 20. 100564–100564. 3 indexed citations
5.
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
6.
Savardi, Mattia, et al.. (2023). CineScale2: a dataset of cinematic camera features in movies. Data in Brief. 51. 109627–109627. 1 indexed citations
7.
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
8.
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
9.
Pau, Danilo, et al.. (2021). Tiny Reservoir Computing for Extreme Learning of Motor Control. Institutional Research Information System (Università degli Studi di Brescia). 1–8. 6 indexed citations
10.
Svanera, Michele, Sergio Benini, Dennis Bontempi, & Lars Muckli. (2021). CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes. Human Brain Mapping. 42(17). 5563–5580. 15 indexed citations
11.
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
12.
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
13.
Benini, Sergio, et al.. (2019). FASSEG: A FAce semantic SEGmentation repository for face image analysis. SHILAP Revista de lepidopterología. 24. 103881–103881. 13 indexed citations
14.
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
15.
Raz, Gal, Michele Svanera, Neomi Singer, et al.. (2017). Robust inter-subject audiovisual decoding in functional magnetic resonance imaging using high-dimensional regression. NeuroImage. 163. 244–263. 9 indexed citations
16.
Adami, Nicola, et al.. (2013). Markers of unsustainable gambling for early detection of at-risk online gamblers. International Gambling Studies. 13(2). 188–204. 41 indexed citations
17.
Canini, Luca, Sergio Benini, & Riccardo Leonardi. (2011). Affective analysis on patterns of shot types in movies. Institutional Research Information System (Università degli Studi di Brescia). 253–258. 17 indexed citations
18.
Porteous, Julie, Sergio Benini, Luca Canini, et al.. (2010). Interactive storytelling via video content recombination. TeesRep (Teesside University). 1715–1718. 15 indexed citations
19.
Benini, Sergio, et al.. (2006). Video Shot Clustering and Summarization through dendrograms. Institutional Research Information System (Università degli Studi di Brescia). 30(8). 1–4. 3 indexed citations
20.
Benini, Sergio, et al.. (2002). Interactive segmentation of biomedical images and volumes using connected operators. Institutional Research Information System (Università degli Studi di Brescia). 2. 452–455. 3 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.

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