Gabriella Olmo

3.9k total citations
179 papers, 2.6k citations indexed

About

Gabriella Olmo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Gabriella Olmo has authored 179 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 57 papers in Signal Processing and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Gabriella Olmo's work include Advanced Data Compression Techniques (65 papers), Video Coding and Compression Technologies (32 papers) and Image and Signal Denoising Methods (32 papers). Gabriella Olmo is often cited by papers focused on Advanced Data Compression Techniques (65 papers), Video Coding and Compression Technologies (32 papers) and Image and Signal Denoising Methods (32 papers). Gabriella Olmo collaborates with scholars based in Italy, China and United States. Gabriella Olmo's co-authors include Enrico Magli, Marco Grangetto, Tammam Tillo, Barbara Penna, Luigi Borzì, Emanuele Quacchio, Federica Amato, Luis Sigcha, Sergio Benedetto and Pasquale Cataldi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Gabriella Olmo

164 papers receiving 2.5k citations

Peers

Gabriella Olmo

CVPR

EEE

CNC

Takafumi Aoki Japan

Zoran Cvetković United Kingdom

Paola Pierleoni Italy

Guillaume-Alexandre Bilodeau Canada

Stefano Berretti Italy

Sugata Munshi India

Sun Li China

Zhenyu He China

Anders Eriksson Australia

Sadasivan Puthusserypady Denmark

Takafumi Aoki Japan

Gabriella Olmo

1.4k ×0.9

CVPR

960 ×1.4

590 ×1.3

EEE

103 ×0.2

CNC

876 ×2.5

Citations per year, relative to Gabriella Olmo Gabriella Olmo (= 1×) peers Takafumi Aoki

Countries citing papers authored by Gabriella Olmo

Since Specialization

Citations

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

Fields of papers citing papers by Gabriella Olmo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Olmo

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Olmo. A scholar is included among the top collaborators of Gabriella Olmo 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 Gabriella Olmo. Gabriella Olmo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Castagno, Emanuele, et al.. (2025). Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study. Frontiers in Digital Health. 7. 1624786–1624786.

Amato, Federica, et al.. (2024). Beyond breathalyzers: AI-powered speech analysis for alcohol intoxication detection. Expert Systems with Applications. 262. 125656–125656. 1 indexed citations

Amprimo, Gianluca, et al.. (2024). Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. Biomedical Signal Processing and Control. 96. 106508–106508. 19 indexed citations

Zampogna, Alessandro, Luigi Borzì, Domiziana Rinaldi, et al.. (2024). Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life. Bioengineering. 11(5). 440–440. 9 indexed citations

Amprimo, Gianluca, et al.. (2024). A Data-Driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease. IEEE Journal of Biomedical and Health Informatics. 29(7). 4647–4658.

Sigcha, Luis, Luigi Borzì, Gabriella Olmo, et al.. (2024). Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers. Applied Sciences. 14(22). 10189–10189. 4 indexed citations

Amato, Federica, et al.. (2023). Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey. Expert Systems with Applications. 219. 119651–119651. 20 indexed citations

Demrozi, Florenc, Luigi Borzì, & Gabriella Olmo. (2023). Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases. Electronics. 12(6). 1269–1269. 7 indexed citations

Amprimo, Gianluca, et al.. (2023). Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study. Electronics. 12(3). 623–623. 9 indexed citations

10.

Zibetti, Maurizio, et al.. (2021). Assessing REM Sleep Behaviour Disorder: From Machine Learning Classification to the Definition of a Continuous Dissociation Index. International Journal of Environmental Research and Public Health. 19(1). 248–248. 13 indexed citations

11.

Borzì, Luigi, Gabriella Olmo, Carlo Alberto Artusi, et al.. (2020). Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease. IEEE Open Journal of Engineering in Medicine and Biology. 1. 140–147. 20 indexed citations

12.

Magli, Enrico, et al.. (2009). On distributed arithmetic codes and syndrome based turbo codes for Slepian-Wolf coding of non uniform sources. HAL (Le Centre pour la Communication Scientifique Directe). 2249–2253. 2 indexed citations

13.

Grangetto, Marco, et al.. (2007). Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications. IEEE Transactions on Image Processing. 16(6). 1557–1567. 20 indexed citations

14.

Grangetto, Marco, Enrico Magli, & Gabriella Olmo. (2004). Ensuring quality of service for image transmission: hybrid loss protection. IEEE Transactions on Image Processing. 13(6). 751–757. 8 indexed citations

15.

Olmo, Gabriella, Anatoly A. Gitelson, & Donald C. Rundquist. (2003). Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters. AGUFM. 2003. 41 indexed citations

16.

Magli, Enrico, et al.. (2001). On-board selection of relevant images: an application to linear feature recognition. IEEE Transactions on Image Processing. 10(4). 543–553. 10 indexed citations

17.

Dovis, Fabio, Letizia Lo Presti, Enrico Magli, Gabriella Olmo, & F. Sellone. (2000). HeliNet: a network of UAV-HAVE stratospheric platforms. System concepts and applications to environmental surveillance. PORTO Publications Open Repository TOrino (Politecnico di Torino). 5 indexed citations

18.

Magli, Enrico, Gabriella Olmo, & Letizia Lo Presti. (2000). Joint statistical signal detection and estimation. Part II: a high-performance closed-loop technique. Signal Processing. 80(5). 773–786. 2 indexed citations

19.

Presti, Letizia Lo, et al.. (1996). Use of time-frequency representation for time delay estimation of non stationary multicomponent signals. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–4.

20.

Benedetto, Sergio, Guido Masera, & Gabriella Olmo. (1987). Coded 16-PSK: Effects of Imperfect Carrier Recovery and Resolution of Phase Ambiguities. PORTO Publications Open Repository TOrino (Politecnico di Torino). 9 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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