Marco Sica

732 total citations · 1 hit paper
18 papers, 456 citations indexed

About

Marco Sica is a scholar working on Biomedical Engineering, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marco Sica has authored 18 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Neurology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marco Sica's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Physical Activity and Health (3 papers). Marco Sica is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Physical Activity and Health (3 papers). Marco Sica collaborates with scholars based in Ireland, United States and Sweden. Marco Sica's co-authors include Salvatore Tedesco, John Barton, Suzanne Timmons, Brendan O’Flynn, Andrea Ancillao, Colum Crowe, Lorna Kenny, Kevin Moore, Anna Nordström and Joan Condell and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Marco Sica

15 papers receiving 447 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

2021 126 citations Kevin Moore, Emma O’Shea et al. JMIR mhealth and uhealth profile →

Peers

Marco Sica

PHYSI

GHP

NEURO

DEMOG

Marie Mc Carthy United States

Colum Crowe Ireland

Alison Keogh Ireland

Ram Kinker Mishra United States

Zachary Beattie United States

Elvira Maranesi Italy

Ríona Mc Ardle United Kingdom

Antti Alamäki Ireland

Lorna Kenny Ireland

Duane B. Corbett United States

Marie Mc Carthy United States

Marco Sica

92 ×0.8

PHYSI

94 ×0.9

GHP

74 ×0.9

NEURO

57 ×0.7

16 ×0.2

DEMOG

Citations per year, relative to Marco Sica Marco Sica (= 1×) peers Marie Mc Carthy

Countries citing papers authored by Marco Sica

Since Specialization

Citations

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

Fields of papers citing papers by Marco Sica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Sica

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Kenny, Lorna, Marco Sica, Colum Crowe, et al.. (2025). User Experiences of Limb-Worn Wearable Devices for Monitoring Parkinson Disease Motor Function and Blood Pressure: Usability Study. JMIR Formative Research. 9. e73423–e73423.

Hamidi, Hassan, et al.. (2025). Wireless, reconfigurable electrochemical measurement platform for wearable applications. 351–354.

Kenny, Lorna, Zahra Azizi, Kevin Moore, et al.. (2024). Inter-rater reliability of hand motor function assessment in Parkinson’s disease: Impact of clinician training. Clinical Parkinsonism & Related Disorders. 11. 100278–100278. 6 indexed citations

Sica, Marco, et al.. (2024). A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables. Scientific Data. 11(1). 433–433. 4 indexed citations

Crowe, Colum, Marco Sica, Lorna Kenny, et al.. (2024). Wearable-Enabled Algorithms for the Estimation of Parkinson’s Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3828–3836. 4 indexed citations

Sica, Marco, et al.. (2024). Energy Consumption Monitoring and CO₂ Emissions Estimation in Optical Access Networks: Abstract. 17–17.

Sica, Marco, Colum Crowe, Lorna Kenny, et al.. (2024). Design of a Multi-Sensors Wearable System for Continuous Home Monitoring of People With Parkinson’s. IEEE Access. 12. 38436–38455. 3 indexed citations

Tedesco, Salvatore, Colum Crowe, Marco Sica, et al.. (2023). Sleep analysis via wearable sensors in people with Parkinson’s disease. Gait & Posture. 106. S203–S204. 2 indexed citations

Crowe, Colum, Marco Sica, Lorna Kenny, et al.. (2023). Cuff-Less Blood Pressure Monitoring in a Cohort of People with Parkinson's Disease. Cork Open Research Archive (University College Cork). 1–5. 1 indexed citations

10.

Tedesco, Salvatore, Colum Crowe, Marco Sica, et al.. (2023). Gait speed estimation via inertial sensors and machine learning. Gait & Posture. 106. S201–S203. 1 indexed citations

11.

Kenny, Lorna, Kevin Moore, Siobhán Fox, et al.. (2022). The Views and Needs of People With Parkinson Disease Regarding Wearable Devices for Disease Monitoring: Mixed Methods Exploration. JMIR Formative Research. 6(1). e27418–e27418. 25 indexed citations

12.

Moore, Kevin, Emma O’Shea, Lorna Kenny, et al.. (2021). Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis. JMIR mhealth and uhealth. 9(6). e23832–e23832. 126 indexed citations breakdown →

13.

Sica, Marco, Salvatore Tedesco, Colum Crowe, et al.. (2021). Continuous home monitoring of Parkinson’s disease using inertial sensors: A systematic review. PLoS ONE. 16(2). e0246528–e0246528. 64 indexed citations

14.

Tedesco, Salvatore, Colum Crowe, Andrew M. Ryan, et al.. (2020). Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players. Sensors. 20(11). 3029–3029. 32 indexed citations

15.

Tedesco, Salvatore, Marco Sica, Andrea Ancillao, et al.. (2019). Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mhealth and uhealth. 7(6). e13084–e13084. 96 indexed citations

16.

Tedesco, Salvatore, Marco Sica, Andrea Ancillao, et al.. (2019). Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults. PLoS ONE. 14(5). e0216891–e0216891. 87 indexed citations

17.

Kenny, Lorna, Cliona O’Riordan, Mary P. O’Sullivan, et al.. (2019). 255 An Exploration of the Feasibility and Acceptability of Wearable Technology in Parkinson’s Disease. Age and Ageing. 48(Supplement_3). iii1–iii16. 1 indexed citations

18.

Tedesco, Salvatore, et al.. (2018). A Comprehensive Comparison of Commercial Wrist- Worn Trackers in a Young Cohort in a Lab- Environment. Cork Open Research Archive (University College Cork, Ireland). 17. 415–420. 4 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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