Dario Salvi

1.4k total citations
55 papers, 864 citations indexed

About

Dario Salvi is a scholar working on General Health Professions, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dario Salvi has authored 55 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Health Professions, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dario Salvi's work include Mobile Health and mHealth Applications (17 papers), Context-Aware Activity Recognition Systems (14 papers) and Digital Mental Health Interventions (9 papers). Dario Salvi is often cited by papers focused on Mobile Health and mHealth Applications (17 papers), Context-Aware Activity Recognition Systems (14 papers) and Digital Mental Health Interventions (9 papers). Dario Salvi collaborates with scholars based in United Kingdom, Spain and Sweden. Dario Salvi's co-authors include Lionel Tarassenko, María Teresa Arredondo, Carmelo Velardo, Elizabeth Orchard, Manuel Ottaviano, Lucy Mackillop, Syed Ahmar Shah, Delaram Jarchi, Giuseppe Fico and Cecilia Vera‐Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dario Salvi

52 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dario Salvi United Kingdom 17 249 189 128 117 117 55 864
Carmelo Velardo United Kingdom 18 168 0.7× 452 2.4× 286 2.2× 171 1.5× 149 1.3× 46 1.4k
M. Elena Hernando Spain 21 136 0.5× 420 2.2× 132 1.0× 127 1.1× 46 0.4× 81 1.5k
Matthias Görges Canada 18 331 1.3× 144 0.8× 34 0.3× 299 2.6× 100 0.9× 94 1.4k
Oliver Gibson United Kingdom 16 82 0.3× 596 3.2× 221 1.7× 92 0.8× 84 0.7× 36 1.3k
Dustin Dunsmuir Canada 15 58 0.2× 138 0.7× 82 0.6× 82 0.7× 216 1.8× 54 637
Marlien Varnfield Australia 14 441 1.8× 349 1.8× 36 0.3× 30 0.3× 38 0.3× 64 891
Songthip Ounpraseuth United States 20 119 0.5× 215 1.1× 247 1.9× 27 0.2× 293 2.5× 121 1.3k
Barbara Barry United States 17 76 0.3× 182 1.0× 40 0.3× 35 0.3× 26 0.2× 53 1.2k
Yiye Zhang United States 15 122 0.5× 80 0.4× 62 0.5× 50 0.4× 57 0.5× 67 983
Ole Hejlesen Denmark 26 355 1.4× 452 2.4× 12 0.1× 201 1.7× 29 0.2× 224 2.5k

Countries citing papers authored by Dario Salvi

Since Specialization
Citations

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

Fields of papers citing papers by Dario Salvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Salvi

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Salvi. A scholar is included among the top collaborators of Dario Salvi 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 Dario Salvi. Dario Salvi 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.
Salvi, Dario, Carl Magnus Olsson, J.B. Molloy, & Elizabeth Orchard. (2025). Clinical Usefulness of a Smartphone-Based 6-Minute Walk Test in a Hospital Outpatient Clinic Within the Constraints of the COVID-19 Pandemic: Mixed Methods Study. JMIR Formative Research. 9. e70495–e70495.
2.
Olsson, Carl Magnus, et al.. (2024). Assessing the Effect of Data Quality on Distance Estimation in Smartphone-Based Outdoor 6MWT. Sensors. 24(8). 2632–2632. 2 indexed citations
3.
Salvi, Dario, et al.. (2023). Quantifying Parkinson’s disease severity using mobile wearable devices and machine learning: the ParkApp pilot study protocol. BMJ Open. 13(12). e077766–e077766. 7 indexed citations
4.
Pinnock, Hilary, et al.. (2022). Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol. BMJ Open. 12(10). e064166–e064166. 12 indexed citations
5.
Salvi, Dario, et al.. (2021). App-Based Versus Standard Six-Minute Walk Test in Pulmonary Hypertension: Mixed Methods Study. JMIR mhealth and uhealth. 9(6). e22748–e22748. 18 indexed citations
6.
Mahdi, Adam, Paweł Dłotko, Dario Salvi, et al.. (2021). OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19. Scientific Reports. 11(1). 9237–9237. 13 indexed citations
7.
Mackillop, Lucy, Stephen Gerry, Jacqueline Birks, et al.. (2021). Postpartum-Specific Vital Sign Reference Ranges. Obstetrics and Gynecology. 137(2). 295–304. 12 indexed citations
8.
Olsson, Carl Magnus, et al.. (2021). Privacy Personas for IoT-Based Health Research: A Privacy Calculus Approach. Frontiers in Digital Health. 3. 675754–675754. 3 indexed citations
9.
Salvi, Dario, et al.. (2019). The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation. JMIR mhealth and uhealth. 8(1). e13756–e13756. 51 indexed citations
10.
Hershman, Steven G., Brian M. Bot, Anna Shcherbina, et al.. (2019). Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Scientific Data. 6(1). 24–24. 48 indexed citations
11.
Velardo, Carmelo, Dario Salvi, K. J. Lafferty, et al.. (2018). Feasibility of Telemonitoring Blood Pressure in Patients With Kidney Disease (Oxford Heart and Renal Protection Study-1): Observational Study. JMIR Cardio. 2(2). e11332–e11332. 7 indexed citations
12.
13.
Skobel, Erik, Christian Knackstedt, Dario Salvi, et al.. (2016). Internet-based training of coronary artery patients: the Heart Cycle Trial. Heart and Vessels. 32(4). 408–418. 61 indexed citations
14.
Ferro, Erina, et al.. (2015). The UniversAAL Platform for AAL (Ambient Assisted Living). SHILAP Revista de lepidopterología. 24(3). 301–319. 16 indexed citations
15.
Kušek, Mario, et al.. (2013). Introducing gesture interaction in the Ambient Assisted Living platform universaal. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 215–222. 5 indexed citations
16.
Mikalsen, Marius, Ståle Walderhaug, Dario Salvi, & Geir Kjetil Hanssen. (2012). Key Technological Success Features for a Domain Specific Open Software Ecosystem for Ambient Assisted Living.. 84–95. 1 indexed citations
17.
Fioravanti, Antonio, et al.. (2010). Integration of heterogeneous biomedical sensors into an ISO/IEEE 11073 compliant application. PubMed. 23. 1049–1052. 20 indexed citations
18.
Villalba‐Mora, Elena, et al.. (2009). Wearable and Mobile System to Manage Remotely Heart Failure. IEEE Transactions on Information Technology in Biomedicine. 13(6). 990–996. 40 indexed citations
19.
Arredondo, María Teresa, et al.. (2009). Patient interaction in homecare systems to treat cardiovascular diseases in the long term. PubMed. 2009. 308–311. 2 indexed citations
20.
Arredondo, María Teresa, et al.. (2006). User Interaction Design and Development of a Heart Failure Management System based on Wearable and Information Technologies. PubMed. 2006. 400–403. 5 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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