Fabrizio Sergi

1.5k total citations
61 papers, 1.1k citations indexed

About

Fabrizio Sergi is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Fabrizio Sergi has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Biomedical Engineering, 18 papers in Rehabilitation and 16 papers in Cognitive Neuroscience. Recurrent topics in Fabrizio Sergi's work include Muscle activation and electromyography studies (49 papers), Prosthetics and Rehabilitation Robotics (30 papers) and Stroke Rehabilitation and Recovery (18 papers). Fabrizio Sergi is often cited by papers focused on Muscle activation and electromyography studies (49 papers), Prosthetics and Rehabilitation Robotics (30 papers) and Stroke Rehabilitation and Recovery (18 papers). Fabrizio Sergi collaborates with scholars based in United States, Italy and Netherlands. Fabrizio Sergi's co-authors include Marcia K. O’Malley, Eugenio Guglielmelli, Dino Accoto, Giorgio Carpino, Nevio Luigi Tagliamonte, Ali Utku Pehlivan, Andrew Erwin, Gerard E. Francisco, Nuray Yozbatıran and David Ress and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Fabrizio Sergi

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrizio Sergi United States 19 902 432 199 170 115 61 1.1k
Michele Xiloyannis Switzerland 23 1.1k 1.2× 579 1.3× 107 0.5× 195 1.1× 76 0.7× 47 1.3k
Jody A. Saglia Italy 17 897 1.0× 394 0.9× 346 1.7× 108 0.6× 95 0.8× 24 1.2k
Nevio Luigi Tagliamonte Italy 17 787 0.9× 304 0.7× 178 0.9× 55 0.3× 94 0.8× 56 904
Emilio Sánchez Spain 11 433 0.5× 238 0.6× 164 0.8× 118 0.7× 242 2.1× 29 793
Michael R. Tucker Switzerland 8 804 0.9× 284 0.7× 69 0.3× 131 0.8× 77 0.7× 23 998
Vincent Crocher Australia 14 464 0.5× 497 1.2× 113 0.6× 119 0.7× 55 0.5× 31 756
Simone Marcheschi Italy 18 626 0.7× 497 1.2× 159 0.8× 277 1.6× 250 2.2× 41 1.0k
Mario Cortese Italy 13 643 0.7× 457 1.1× 62 0.3× 114 0.7× 48 0.4× 18 787
Ye Ding United States 13 1.7k 1.9× 525 1.2× 150 0.8× 78 0.5× 197 1.7× 16 1.9k
Brendan Quinlivan Ireland 12 968 1.1× 324 0.8× 49 0.2× 68 0.4× 63 0.5× 27 1.1k

Countries citing papers authored by Fabrizio Sergi

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Sergi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Sergi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Sergi. A scholar is included among the top collaborators of Fabrizio Sergi 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 Fabrizio Sergi. Fabrizio Sergi 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.
McGrath, Robert L. & Fabrizio Sergi. (2024). Repetitive Control of Knee Interaction Torque via a Lower Extremity Exoskeleton for Improved Transparency During Walking. IEEE Transactions on Medical Robotics and Bionics. 6(4). 1581–1590. 1 indexed citations
2.
3.
McGrath, Robert L. & Fabrizio Sergi. (2023). Using Repetitive Control to Enhance Force Control During Human–Robot Interaction in Quasi-Periodic Tasks. IEEE Transactions on Medical Robotics and Bionics. 5(1). 79–87. 2 indexed citations
4.
McGarry, Matthew, et al.. (2023). Individual Muscle Force Estimation in the Human Forearm Using Multi-Muscle MR Elastography (MM-MRE). IEEE Transactions on Biomedical Engineering. 70(11). 3206–3215. 3 indexed citations
5.
Vahdat, Shahabeddin, et al.. (2023). Changes in Resting State Functional Connectivity Associated with Dynamic Adaptation of Wrist Movements. Journal of Neuroscience. 43(19). 3520–3537. 2 indexed citations
6.
Sergi, Fabrizio, et al.. (2021). Effects of Perturbation Velocity, Direction, Background Muscle Activation, and Task Instruction on Long-Latency Responses Measured From Forearm Muscles. Frontiers in Human Neuroscience. 15. 639773–639773. 2 indexed citations
7.
Ress, David, et al.. (2021). Measurement of stretch-evoked brainstem function using fMRI. Scientific Reports. 11(1). 12544–12544. 6 indexed citations
8.
McGrath, Robert L., Barry Bodt, & Fabrizio Sergi. (2020). Robot-Aided Training of Propulsion During Walking: Effects of Torque Pulses Applied to the Hip and Knee Joints During Stance. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(12). 2923–2932. 7 indexed citations
9.
McGrath, Robert L., et al.. (2019). The effect of stride length on lower extremity joint kinetics at various gait speeds. PLoS ONE. 14(2). e0200862–e0200862. 30 indexed citations
10.
Sergi, Fabrizio, et al.. (2019). Identifying the neural representation of fast and slow states in force field adaptation via fMRI. PubMed. 2019. 1007–1012. 3 indexed citations
11.
Johnson, Curtis L., et al.. (2019). MM-MRE: a new technique to quantify individual muscle forces during isometric tasks of the wrist using MR elastography. PubMed. 2019. 270–275. 13 indexed citations
12.
Pehlivan, Ali Utku, et al.. (2017). Effects of Assist-As-Needed Upper Extremity Robotic Therapy after Incomplete Spinal Cord Injury: A Parallel-Group Controlled Trial. Frontiers in Neurorobotics. 11. 26–26. 39 indexed citations
13.
Erwin, Andrew, et al.. (2017). Quantitative Testing of fMRI-Compatibility of an Electrically Active Mechatronic Device for Robot-Assisted Sensorimotor Protocols. IEEE Transactions on Biomedical Engineering. 65(7). 1595–1606. 9 indexed citations
14.
Sergi, Fabrizio, et al.. (2015). Design of a parallel-group balanced controlled trial to test the effects of assist-as-needed robotic therapy. Rice Digital Scholarship Archive (Rice University). 129. 840–845. 2 indexed citations
15.
16.
Accoto, Dino, et al.. (2012). pVEJ: A modular passive viscoelastic joint for assistive wearable robots. 3361–3366. 17 indexed citations
17.
Sergi, Fabrizio, Dino Accoto, Giorgio Carpino, Nevio Luigi Tagliamonte, & Eugenio Guglielmelli. (2012). Design and characterization of a compact rotary Series Elastic Actuator for knee assistance during overground walking. 1931–1936. 72 indexed citations
18.
Sergi, Fabrizio, Hermano Igo Krebs, Avrielle Rykman, et al.. (2011). Predicting efficacy of robot-aided rehabilitation in chronic stroke patients using an MRI-compatible robotic device. PubMed. 2011. 7470–7473. 22 indexed citations
19.
Carpino, Giorgio, Dino Accoto, Mauro Palo, et al.. (2011). Design of a rotary passive viscoelastic joint for wearable robots. PubMed. 2011. 1–6. 10 indexed citations
20.
Caligiore, Daniele, Guy A. Schiavone, Alejandra Salerno, et al.. (2009). Effects on space representation of using a tool and a button.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 11. 153–154.

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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