Matteo Giuberti

548 total citations
18 papers, 425 citations indexed

About

Matteo Giuberti is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matteo Giuberti has authored 18 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Physical Therapy, Sports Therapy and Rehabilitation and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matteo Giuberti's work include Balance, Gait, and Falls Prevention (10 papers), Muscle activation and electromyography studies (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). Matteo Giuberti is often cited by papers focused on Balance, Gait, and Falls Prevention (10 papers), Muscle activation and electromyography studies (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). Matteo Giuberti collaborates with scholars based in Italy and Netherlands. Matteo Giuberti's co-authors include Petrus H. Veltink, Giovanni Bellusci, Gianluigi Ferrari, Bert-Jan van Beijnum, Jasper Reenalda, Laura Contin, Verônica Cimolin, Alessandro Mauro, Corrado Azzaro and Giovanni Albani and has published in prestigious journals such as Sensors, IEEE Internet of Things Journal and Frontiers in Physiology.

In The Last Decade

Matteo Giuberti

18 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Giuberti Italy 9 255 132 111 94 46 18 425
Myeounggon Lee South Korea 13 131 0.5× 176 1.3× 107 1.0× 57 0.6× 26 0.6× 40 413
Jennica L. Bellanca United States 7 139 0.5× 217 1.6× 69 0.6× 47 0.5× 31 0.7× 14 419
Felix Kluge Germany 15 250 1.0× 239 1.8× 105 0.9× 66 0.7× 67 1.5× 46 638
Christine F. Martindale Germany 13 286 1.1× 121 0.9× 48 0.4× 50 0.5× 121 2.6× 24 546
Leandro Donisi Italy 19 269 1.1× 144 1.1× 116 1.0× 37 0.4× 21 0.5× 63 808
Dimitrios-Sokratis Komaris Ireland 8 165 0.6× 57 0.4× 53 0.5× 45 0.5× 57 1.2× 24 400
Stéphane Buffat France 9 136 0.5× 232 1.8× 39 0.4× 60 0.6× 41 0.9× 24 458
Karina Lebel Canada 11 135 0.5× 126 1.0× 51 0.5× 48 0.5× 38 0.8× 32 423
Samuel Reinfelder Germany 6 210 0.8× 230 1.7× 179 1.6× 21 0.2× 76 1.7× 7 481
Martin Ullrich Germany 11 130 0.5× 117 0.9× 43 0.4× 45 0.5× 41 0.9× 23 299

Countries citing papers authored by Matteo Giuberti

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Giuberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Giuberti

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

All Works

18 of 18 papers shown
1.
Giuberti, Matteo, et al.. (2019). Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning. Sensors. 19(17). 3716–3716. 12 indexed citations
2.
Giuberti, Matteo, et al.. (2019). Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 10063–10064. 2 indexed citations
3.
Giuberti, Matteo, Giovanni Bellusci, Erik Maartens, et al.. (2018). Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors. Frontiers in Physiology. 9. 218–218. 158 indexed citations
4.
Giuberti, Matteo, Giovanni Bellusci, Erik Maartens, et al.. (2018). On the Validity of Different Motion Capture Technologies for the Analysis of Running. University of Twente Research Information. 1175–1180. 16 indexed citations
5.
6.
Giuberti, Matteo & Gianluigi Ferrari. (2016). A low-complexity activity classification algorithm with optimized selection of accelerometric features. Journal of Ambient Intelligence and Smart Environments. 8(6). 681–695. 1 indexed citations
7.
Parisi, Federico, Gianluigi Ferrari, Matteo Giuberti, et al.. (2016). Inertial BSN-Based Characterization and Automatic UPDRS Evaluation of the Gait Task of Parkinsonians. IEEE Transactions on Affective Computing. 7(3). 258–271. 32 indexed citations
8.
Giuberti, Matteo, et al.. (2016). Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?. Sensors. 16(12). 2138–2138. 37 indexed citations
9.
Giuberti, Matteo, Gianluigi Ferrari, Laura Contin, et al.. (2015). Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done Through BSN-Based Kinematic Variables?. IEEE Internet of Things Journal. 2(1). 41–51. 30 indexed citations
10.
Parisi, Federico, Gianluigi Ferrari, Matteo Giuberti, et al.. (2015). Body-Sensor-Network-Based Kinematic Characterization and Comparative Outlook of UPDRS Scoring in Leg Agility, Sit-to-Stand, and Gait Tasks in Parkinson's Disease. IEEE Journal of Biomedical and Health Informatics. 19(6). 1777–1793. 74 indexed citations
11.
Giuberti, Matteo, Gianluigi Ferrari, Laura Contin, et al.. (2015). Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task. IEEE Journal of Biomedical and Health Informatics. 19(3). 1–1. 30 indexed citations
12.
Parisi, Federico, Gianluigi Ferrari, Verônica Cimolin, et al.. (2015). On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2012. 1–6. 1 indexed citations
13.
Parisi, Federico, Matteo Giuberti, Gianluigi Ferrari, et al.. (2014). Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 5 indexed citations
14.
Giuberti, Matteo, Gianluigi Ferrari, Laura Contin, et al.. (2014). Linking UPDRS Scores and Kinematic Variables in the Leg Agility Task of Parkinsonians. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2. 115–120. 12 indexed citations
15.
Giuberti, Matteo, Gianluigi Ferrari, Laura Contin, et al.. (2013). On the characterization of Leg Agility in patients with Parkinson's Disease. UNICA IRIS Institutional Research Information System (University of Cagliari). 66. 1–6. 7 indexed citations
16.
Giuberti, Matteo & Gianluigi Ferrari. (2012). BSN-Based Activity Classification: A Low Complexity Windowing-&-Classification Approach. Advances in science and technology. 85. 53–58. 1 indexed citations
17.
Giuberti, Matteo & Gianluigi Ferrari. (2011). Simple and robust BSN-based activity classification. 1–5. 3 indexed citations
18.
Giuberti, Matteo, Marco Martalò, & Gianluigi Ferrari. (2011). Fingerprinting-based wireless 3D localization for motion capture applications. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–8. 2 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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