Sergio Carrato

1.8k total citations
114 papers, 1.1k citations indexed

About

Sergio Carrato is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiation. According to data from OpenAlex, Sergio Carrato has authored 114 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 29 papers in Electrical and Electronic Engineering and 22 papers in Radiation. Recurrent topics in Sergio Carrato's work include Image and Signal Denoising Methods (17 papers), Advanced Vision and Imaging (16 papers) and Particle Detector Development and Performance (16 papers). Sergio Carrato is often cited by papers focused on Image and Signal Denoising Methods (17 papers), Advanced Vision and Imaging (16 papers) and Particle Detector Development and Performance (16 papers). Sergio Carrato collaborates with scholars based in Italy, Argentina and Canada. Sergio Carrato's co-authors include Irena Koprinska, Giovanni Ramponi, Stefano Marsi, G. Cautero, G. Impoco, Maria Pia Francescato, Riccardo Tommasini, L. Stebel, Valter Sergo and R. Sergo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Access.

In The Last Decade

Sergio Carrato

103 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Carrato Italy 16 663 207 166 123 123 114 1.1k
Margarita Osadchy Israel 12 362 0.5× 165 0.8× 45 0.3× 35 0.3× 148 1.2× 40 1.0k
Xiulun Yang China 17 765 1.2× 51 0.2× 128 0.8× 246 2.0× 75 0.6× 68 1.0k
Guoyan Dong China 25 1.2k 1.8× 57 0.3× 320 1.9× 681 5.5× 197 1.6× 91 2.1k
Qing Tang United States 13 212 0.3× 79 0.4× 120 0.7× 121 1.0× 110 0.9× 43 573
Yang‐Ming Zhu China 11 171 0.3× 16 0.1× 83 0.5× 125 1.0× 110 0.9× 47 666
John F. Walkup United States 16 216 0.3× 47 0.2× 316 1.9× 283 2.3× 84 0.7× 74 715
Zhaoyang Li China 20 252 0.4× 25 0.1× 389 2.3× 495 4.0× 57 0.5× 93 1.0k
Jeoung-Yeon Hwang South Korea 13 306 0.5× 201 1.0× 367 2.2× 170 1.4× 132 1.1× 61 1.1k
Alan Purvis United Kingdom 13 76 0.1× 38 0.2× 203 1.2× 148 1.2× 176 1.4× 80 697
Jinho Kim South Korea 18 135 0.2× 19 0.1× 359 2.2× 197 1.6× 199 1.6× 116 1.0k

Countries citing papers authored by Sergio Carrato

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Carrato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Carrato

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Carrato. A scholar is included among the top collaborators of Sergio Carrato 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 Carrato. Sergio Carrato 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.
Cicuttin, A., Sergio Carrato, P. Van Espen, et al.. (2025). MA ‐ XRF Scanner: Implementation of Elemental Maps Reconstruction Algorithm Based on Single Photon Detection for Cultural Heritage Studies. X-Ray Spectrometry. 54(5). 579–592.
2.
Adamo, Francesco, et al.. (2025). Design of a 17.3-21.2 GHz SATCOM Upconverter Based on COTS with Low Spurious Emission. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 12–15.
3.
Cautero, Marco, Alessandro Pitanti, Leonardo Vicarelli, et al.. (2024). FPGA Readout for Frequency-Multiplexed Array of Micromechanical Resonators for Sub-Terahertz Imaging. Sensors. 24(22). 7276–7276.
4.
Bogovać, M., et al.. (2024). Gamma/Neutron Online Discrimination Based on Machine Learning With CLYC Detectors. IEEE Transactions on Nuclear Science. 71(12). 2602–2614.
5.
Bressan, A., Sergio Carrato, C. Chatterjee, et al.. (2023). The high voltage system the novel MPGD-based photon detectors ofCOMPASS RICH-1 and its development towards a scalable HVPSS forMPGDs. Journal of Instrumentation. 18(7). C07014–C07014. 1 indexed citations
6.
Crespo, M.L., et al.. (2023). A Survey on FPGA-Based Heterogeneous Clusters Architectures. IEEE Access. 11. 67679–67706. 9 indexed citations
7.
8.
Cicuttin, A., et al.. (2022). A Simplified Correlation Index for Fast Real-Time Pulse Shape Recognition. Sensors. 22(20). 7697–7697. 7 indexed citations
9.
Crespo, M.L., et al.. (2022). Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray Spectroscopy. Sensors. 22(13). 4776–4776. 2 indexed citations
10.
Crespo, M.L., et al.. (2021). Muon–Electron Pulse Shape Discrimination for Water Cherenkov Detectors Based on FPGA/SoC. Electronics. 10(3). 224–224. 6 indexed citations
11.
Guarnieri, Gabriele, et al.. (2020). Perspective registration and multi-frame super-resolution of license plates in surveillance videos. Forensic Science International Digital Investigation. 36. 301087–301087. 12 indexed citations
12.
Marsi, Stefano, et al.. (2019). Distillation of a CNN for a high accuracy mobile face recognition system. 27. 989–994. 2 indexed citations
13.
Fracasso, Giulio, Simone Dal Zilio, Sergio Carrato, et al.. (2015). Parallel optical read-out of micromechanical pillars applied to prostate specific membrane antigen detection. Biosensors and Bioelectronics. 72. 393–399. 14 indexed citations
14.
Carrato, Sergio, et al.. (2011). Signal reconstruction using bispectrum without translation uncertainty. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 63–67. 1 indexed citations
15.
Carrato, Sergio, et al.. (2009). A texture recognition system of real shoe marks taken from crime scenes. 2905–2908. 3 indexed citations
16.
Impoco, G., et al.. (2007). Quantitative Analysis of Cheese Microstructure using SEM Imagery. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2. 32 indexed citations
17.
Carrato, Sergio, et al.. (2006). A forensic image processing environment for investigation of surveillance video. Forensic Science International. 167(2-3). 207–212. 7 indexed citations
18.
Ramponi, Giovanni, et al.. (2002). Robust detection and correction of blotches in old films using spatio-temporal information. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1 indexed citations
19.
Tommasini, Riccardo, G. Cautero, D. Giuressi, et al.. (1999). An embedded control and acquisition system for multichannel detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 431(1-2). 338–346. 36 indexed citations
20.
Carrato, Sergio & Stefano Marsi. (1992). Parallel structure based on neural networks for image compression. Electronics Letters. 28(12). 1152–1153. 15 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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