Federico Parisi

775 total citations
19 papers, 366 citations indexed

About

Federico Parisi is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Electrical and Electronic Engineering. According to data from OpenAlex, Federico Parisi has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 5 papers in Physical Therapy, Sports Therapy and Rehabilitation and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Federico Parisi's work include Indoor and Outdoor Localization Technologies (5 papers), Balance, Gait, and Falls Prevention (5 papers) and Muscle activation and electromyography studies (4 papers). Federico Parisi is often cited by papers focused on Indoor and Outdoor Localization Technologies (5 papers), Balance, Gait, and Falls Prevention (5 papers) and Muscle activation and electromyography studies (4 papers). Federico Parisi collaborates with scholars based in Italy and United States. Federico Parisi's co-authors include Gianluigi Ferrari, Attílio Converti, Adriana Del Borghi, Alessandro Mauro, Corrado Azzaro, Giovanni Albani, Verônica Cimolin, Laura Contin, Matteo Giuberti and Patrizia Perego and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Sensors.

In The Last Decade

Federico Parisi

19 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Parisi Italy 9 156 140 76 68 39 19 366
A. M. S. Muniz Brazil 9 150 1.0× 64 0.5× 41 0.5× 78 1.1× 57 1.5× 10 332
Hélder Silva Portugal 12 37 0.2× 33 0.2× 27 0.4× 103 1.5× 24 0.6× 44 451
Stefano Sapienza United States 10 156 1.0× 84 0.6× 15 0.2× 27 0.4× 36 0.9× 26 322
Xiaoqin Duan China 12 75 0.5× 13 0.1× 75 1.0× 15 0.2× 17 0.4× 44 370
Lorenzo Brognara Italy 10 114 0.7× 110 0.8× 9 0.1× 116 1.7× 48 1.2× 27 349
Rachneet Kaur United States 8 48 0.3× 70 0.5× 16 0.2× 38 0.6× 24 0.6× 21 209
Çağatay Berke Erdaş Türkiye 10 118 0.8× 88 0.6× 9 0.1× 21 0.3× 35 0.9× 31 331
Balakrishnan Ramasamy India 11 48 0.3× 97 0.7× 19 0.3× 25 0.4× 21 0.5× 49 318
Benoît Sijobert France 10 216 1.4× 61 0.4× 11 0.1× 142 2.1× 8 0.2× 17 331
T Togawa Japan 8 186 1.2× 20 0.1× 9 0.1× 62 0.9× 24 0.6× 15 347

Countries citing papers authored by Federico Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Parisi

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

All Works

19 of 19 papers shown
1.
Angelucci, Alessandra, Federico Parisi, Stefano Sapienza, et al.. (2025). Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 728–738. 1 indexed citations
2.
Parisi, Federico, Giulia Corniani, Paolo Bonato, et al.. (2024). Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data. Scientific Reports. 14(1). 13229–13229. 2 indexed citations
3.
Tracey, Brian, Shyamal Patel, Yao Zhang, et al.. (2021). Voice Biomarkers of Recovery From Acute Respiratory Illness. IEEE Journal of Biomedical and Health Informatics. 26(6). 2787–2795. 7 indexed citations
4.
Erb, Michael Kelley, Daniel R. Karlin, Bryan Ho, et al.. (2020). mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson’s disease. npj Digital Medicine. 3(1). 6–6. 81 indexed citations
5.
Albani, Giovanni, Claudia Ferraris, Antonio Chimienti, et al.. (2019). An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson’s Disease. Sensors. 19(21). 4764–4764. 25 indexed citations
6.
Parisi, Federico, et al.. (2018). A Novel Step Detection and Step Length Estimation Algorithm for Hand-held Smartphones. 1–7. 6 indexed citations
7.
Parisi, Federico, et al.. (2017). Impact of on‐body IMU placement on inertial navigation. IET Wireless Sensor Systems. 8(1). 3–9. 12 indexed citations
8.
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
9.
Parisi, Federico, et al.. (2016). On single sensor-based inertial navigation. 300–305. 5 indexed citations
10.
Parisi, Federico, et al.. (2016). A multifloor hybrid inertial/barometric navigation system. 1–5. 7 indexed citations
11.
Parisi, Federico, et al.. (2016). Accurate gait analysis in post-stroke patients using a single inertial measurement unit. 335–340. 9 indexed citations
12.
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
13.
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
14.
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
15.
Rizzini, Dario Lodi, et al.. (2014). Lessons Learned in a Ball Fetch-And-Carry Robotic Competition. Journal of Automation Mobile Robotics & Intelligent Systems. 8(1). 82–90. 1 indexed citations
16.
Converti, Attílio, Patrizia Perego, Adriana Del Borghi, Federico Parisi, & G. Ferraiolo. (1986). Kinetic considerations about the study of alcoholic fermentations of starch hydrolysate. Biotechnology and Bioengineering. 28(5). 711–717. 22 indexed citations
17.
Converti, Attílio, Patrizia Perego, A. Lodi, Federico Parisi, & Adriana Del Borghi. (1985). A kinetic study of Saccharomyces strains: Performance at high sugar concentrations. Biotechnology and Bioengineering. 27(8). 1108–1114. 37 indexed citations
18.
Borghi, Adriana Del, Attílio Converti, Federico Parisi, & G. Ferraiolo. (1985). Continuous alcohol fermentation in an immobilized cell rotating disk reactor. Biotechnology and Bioengineering. 27(6). 761–768. 32 indexed citations
19.
Parisi, Federico. (1953). N-Acetylimesatins and Related Compounds. Journal of the American Chemical Society. 75(15). 3848–3848. 7 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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