Marco Altini

1.9k total citations
51 papers, 1.3k citations indexed

About

Marco Altini is a scholar working on Biomedical Engineering, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marco Altini has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 16 papers in Physiology and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marco Altini's work include Non-Invasive Vital Sign Monitoring (16 papers), Physical Activity and Health (14 papers) and Context-Aware Activity Recognition Systems (14 papers). Marco Altini is often cited by papers focused on Non-Invasive Vital Sign Monitoring (16 papers), Physical Activity and Health (14 papers) and Context-Aware Activity Recognition Systems (14 papers). Marco Altini collaborates with scholars based in Netherlands, Germany and Belgium. Marco Altini's co-authors include Julien Penders, Oliver Amft, Daniel J. Plews, Hannu Kinnunen, Paul B. Laursen, Andrew E. Kilding, B. Scott, Ruud Vullers, Elisabetta Farella and Luca Benini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Applied Physiology.

In The Last Decade

Marco Altini

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Altini Netherlands 18 446 436 248 213 195 51 1.3k
Ken-ichi Yamakoshi Japan 23 899 2.0× 1.1k 2.5× 79 0.3× 93 0.4× 134 0.7× 117 2.0k
Andrea Nicolò Italy 20 441 1.0× 1.1k 2.4× 419 1.7× 215 1.0× 50 0.3× 52 1.8k
Nils Hammerla United Kingdom 21 101 0.2× 312 0.7× 95 0.4× 531 2.5× 680 3.5× 33 2.3k
Stephen Preece United Kingdom 21 99 0.2× 1.0k 2.3× 129 0.5× 588 2.8× 632 3.2× 64 2.6k
Myoungho Lee South Korea 18 995 2.2× 945 2.2× 112 0.5× 64 0.3× 185 0.9× 99 1.7k
George Fulk United States 27 90 0.2× 776 1.8× 110 0.4× 206 1.0× 213 1.1× 65 3.0k
Adriano de Oliveira Andrade Brazil 23 263 0.6× 684 1.6× 37 0.1× 172 0.8× 145 0.7× 147 2.2k
Johannes B. Bussmann Netherlands 30 133 0.3× 679 1.6× 79 0.3× 255 1.2× 148 0.8× 54 2.5k
Mario Cifrek Croatia 15 101 0.2× 903 2.1× 39 0.2× 82 0.4× 144 0.7× 92 1.6k
Andrea Mannini Italy 25 97 0.2× 1.2k 2.7× 58 0.2× 210 1.0× 845 4.3× 108 2.5k

Countries citing papers authored by Marco Altini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Altini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Altini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Altini. A scholar is included among the top collaborators of Marco Altini 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 Altini. Marco Altini 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.
Elliott‐Sale, Kirsty J., Marco Altini, Patricia K. Doyle–Baker, et al.. (2025). Why We Must Stop Assuming and Estimating Menstrual Cycle Phases in Laboratory and Field-Based Sport Related Research. Sports Medicine. 55(6). 1339–1351. 8 indexed citations
2.
Doherty, Cailbhe, et al.. (2025). Readiness, recovery, and strain: an evaluation of composite health scores in consumer wearables. SHILAP Revista de lepidopterología. 4 indexed citations
3.
Doherty, Cailbhe, et al.. (2025). Privacy in consumer wearable technologies: a living systematic analysis of data policies across leading manufacturers. npj Digital Medicine. 8(1). 363–363. 5 indexed citations
4.
Grosicki, Gregory J., Jason R. Carter, Paul B. Laursen, et al.. (2025). Heart rate variability coefficient of variation during sleep as a digital biomarker that reflects behavior and varies by age and sex. American Journal of Physiology-Heart and Circulatory Physiology. 330(1). H187–H199.
5.
Filipas, Luca, et al.. (2024). Heart Rate Variability in Professional and Semiprofessional Soccer: A Scoping Review. Scandinavian Journal of Medicine and Science in Sports. 34(6). e14673–e14673. 7 indexed citations
6.
Zambotti, Massimiliano de, Cathy Goldstein, Jesse D. Cook, et al.. (2023). State of the science and recommendations for using wearable technology in sleep and circadian research. SLEEP. 47(4). 81 indexed citations
7.
Altini, Marco, et al.. (2021). Monitoring the Heart Rate Variability Responses to Training Loads in Competitive Swimmers Using a Smartphone Application and the Banister Impulse-Response Model. International Journal of Sports Physiology and Performance. 16(6). 787–795. 9 indexed citations
8.
9.
Poyatos, María Carrasco, et al.. (2021). Heart rate variability-guided training in professional runners: Effects on performance and vagal modulation. Physiology & Behavior. 244. 113654–113654. 14 indexed citations
10.
Altini, Marco, et al.. (2018). Towards Non-invasive Labour Detection: A Free-Living Evaluation. PubMed. 2018. 2841–2844. 7 indexed citations
11.
Altini, Marco & Oliver Amft. (2018). Estimating Running Performance Combining Non-invasive Physiological Measurements and Training Patterns in Free-Living. PubMed. 2018. 2845–2848. 10 indexed citations
12.
Altini, Marco, et al.. (2017). Combining electrohysterography and heart rate data to detect labour. 149–152. 8 indexed citations
13.
Altini, Marco, Pierluigi Casale, Julien Penders, & Oliver Amft. (2016). Cardiorespiratory fitness estimation in free-living using wearable sensors. Artificial Intelligence in Medicine. 68. 37–46. 20 indexed citations
14.
Altini, Marco. (2015). Personalization of energy expenditure and cardiorespiratory fitness estimation using wearable sensors in supervised and unsupervised free-living conditions. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(3). 6–7, 9. 1 indexed citations
15.
Altini, Marco, Pierluigi Casale, Julien Penders, & Oliver Amft. (2015). Personalized cardiorespiratory fitness and energy expenditure estimation using hierarchical Bayesian models. Journal of Biomedical Informatics. 56. 195–204. 10 indexed citations
16.
Altini, Marco, Julien Penders, Ruud Vullers, & Oliver Amft. (2014). Personalizing energy expenditure estimation using physiological signals normalization during activities of daily living. Physiological Measurement. 35(9). 1797–1811. 12 indexed citations
17.
Casale, Pierluigi, Marco Altini, & Oliver Amft. (2014). Transfer Learning in Body Sensor Networks Using Ensembles of Randomised Trees. 27. 39–44. 2 indexed citations
18.
Altini, Marco, Julien Penders, & Oliver Amft. (2013). Personalizing Energy Expenditure Estimation Using a Cardiorespiratory Fitness Predicate. 2 indexed citations
19.
Altini, Marco, Silvia Del Din, Shyamal Patel, et al.. (2011). A low-power multi-modal body sensor network with application to epileptic seizure monitoring. PubMed. 2011. 1806–9. 5 indexed citations
20.
Altini, Marco, et al.. (2010). An Android-based body area network gateway for mobile health applications. 188–189. 12 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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