Maurizio Schmid

3.4k total citations
161 papers, 2.4k citations indexed

About

Maurizio Schmid is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Maurizio Schmid has authored 161 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Biomedical Engineering, 35 papers in Cognitive Neuroscience and 31 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Maurizio Schmid's work include Muscle activation and electromyography studies (51 papers), Balance, Gait, and Falls Prevention (31 papers) and EEG and Brain-Computer Interfaces (20 papers). Maurizio Schmid is often cited by papers focused on Muscle activation and electromyography studies (51 papers), Balance, Gait, and Falls Prevention (31 papers) and EEG and Brain-Computer Interfaces (20 papers). Maurizio Schmid collaborates with scholars based in Italy, United States and Switzerland. Maurizio Schmid's co-authors include Silvia Conforto, Tommaso D’Alessio, Daniele Bibbo, Cristiano De Marchis, Antonino Proto, Marek Penhaker, Ivan Bernabucci, Diego Torricelli, Michela Goffredo and Anna Margherita Castronovo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in biotechnology.

In The Last Decade

Maurizio Schmid

147 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurizio Schmid Italy 28 1.1k 495 477 274 238 161 2.4k
Silvia Conforto Italy 33 1.7k 1.5× 520 1.1× 820 1.7× 341 1.2× 256 1.1× 206 3.2k
Tommaso D’Alessio Italy 25 989 0.9× 350 0.7× 548 1.1× 242 0.9× 138 0.6× 88 1.8k
Xuguang Wang France 23 1.4k 1.3× 314 0.6× 485 1.0× 933 3.4× 104 0.4× 154 5.4k
Marko Munih Slovenia 31 1.8k 1.7× 508 1.0× 649 1.4× 162 0.6× 212 0.9× 183 3.3k
Georg Rauter Switzerland 21 818 0.7× 187 0.4× 824 1.7× 184 0.7× 157 0.7× 124 2.1k
Shyamal Patel United States 22 1.6k 1.4× 428 0.9× 324 0.7× 95 0.3× 578 2.4× 63 3.2k
Mario Cesarelli Italy 34 1.5k 1.4× 249 0.5× 783 1.6× 216 0.8× 219 0.9× 259 3.9k
Valentina Agostini Italy 25 1.1k 1.1× 620 1.3× 386 0.8× 259 0.9× 139 0.6× 108 2.0k
Mitsuhiro Hayashibe Japan 24 1.1k 1.0× 217 0.4× 599 1.3× 55 0.2× 318 1.3× 193 2.0k
Eduardo Palermo Italy 23 1.0k 0.9× 554 1.1× 247 0.5× 174 0.6× 132 0.6× 89 1.8k

Countries citing papers authored by Maurizio Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Schmid. A scholar is included among the top collaborators of Maurizio Schmid 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 Maurizio Schmid. Maurizio Schmid 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.
2.
Schmid, Maurizio, et al.. (2024). Image quality assurance for B-mode diagnostic ultrasound: Kiviat-based protocol first application. Iris (Roma Tre University). 500–505. 3 indexed citations
3.
Bibbo, Daniele, et al.. (2024). The Impact of Human-Robot Collaboration Levels on Postural Stability During Working Tasks Performed While Standing: Experimental Study. JMIR Human Factors. 12. e64892–e64892. 2 indexed citations
4.
Tigrini, Andrea, Federica Verdini, Silvia Conforto, et al.. (2024). Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition. Bioengineering. 11(5). 458–458. 14 indexed citations
5.
Ajoudani, Arash, et al.. (2023). Assessing biomechanical risks in human-robot collaboration: Analysis of muscle activity with different intervention conditions. Gait & Posture. 105. S18–S19. 1 indexed citations
6.
Schmid, Maurizio, et al.. (2023). A Comparative Study on Depth of Penetration Measurements in Diagnostic Ultrasounds Through the Adaptive SNR Threshold Method. IEEE Transactions on Instrumentation and Measurement. 72. 1–8. 5 indexed citations
7.
Bibbo, Daniele, et al.. (2023). Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations. Frontiers in Neurorobotics. 17. 1183164–1183164. 2 indexed citations
8.
9.
Bibbo, Daniele, et al.. (2022). A Data-Based System for the Optimization of Emergency Medical Services Allocation in Rural Countries. Iris (Roma Tre University). 1–4.
10.
Scorza, Andrea, et al.. (2021). A novel Sensitivity Index from the Flow Velocity Variation in Quality Control for PW Doppler: a preliminary study. Iris (Roma Tre University). 1–6. 5 indexed citations
11.
D’Errico, Francesca, et al.. (2020). Prosocial Virtual Reality, Empathy, and EEG Measures: A Pilot Study Aimed at Monitoring Emotional Processes in Intergroup Helping Behaviors. Applied Sciences. 10(4). 1196–1196. 40 indexed citations
12.
Conforto, Silvia, Maurizio Schmid, Gaetano Giunta, et al.. (2019). Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network. Journal of Healthcare Engineering. 2019. 1–11. 24 indexed citations
13.
Schmid, Maurizio, et al.. (2015). The Effect of Continuous and Discretized Presentations of Concurrent Augmented Visual Biofeedback on Postural Control in Quiet Stance. PLoS ONE. 10(7). e0132711–e0132711. 11 indexed citations
14.
Severini, Giacomo, Silvia Conforto, Maurizio Schmid, & Tommaso D’Alessio. (2012). A multivariate auto-regressive method to estimate cortico-muscular coherence for the detection of movement intent. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Schmid, Maurizio. (2009). Reinforcing motor re-training and rehabilitation through games: a machine-learning perspective. PubMed. 2. 3–3. 6 indexed citations
16.
Henz, Samuel, et al.. (2008). Influence of drugs and comorbidity on serum potassium in 15 000 consecutive hospital admissions. Nephrology Dialysis Transplantation. 23(12). 3939–3945. 23 indexed citations
17.
Torricelli, Diego, Michela Goffredo, Silvia Conforto, Maurizio Schmid, & Tommaso D’Alessio. (2006). A novel neural eye gaze tracker. Iris (Roma Tre University). 86–95. 2 indexed citations
18.
Goffredo, Michela, Maurizio Schmid, Silvia Conforto, & Tommaso D’Alessio. (2006). A Neural approach to the tracking of human body silhouette. 1. 353–358. 2 indexed citations
19.
Conforto, Silvia, Maurizio Schmid, Valentina Camomilla, Tommaso D’Alessio, & Aurelio Cappozzo. (2001). Hemodynamics as a possible internal mechanical disturbance to balance. Gait & Posture. 14(1). 28–35. 61 indexed citations
20.
Denk, Helmut, Peter J. Scheuer, António M. Baptista, et al.. (1994). Guidelines for the diagnosis and interpretation of hepatic granulomas. Histopathology. 25(3). 209–218. 23 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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