Marco Dianti

435 total citations
15 papers, 242 citations indexed

About

Marco Dianti is a scholar working on Human-Computer Interaction, General Health Professions and Family Practice. According to data from OpenAlex, Marco Dianti has authored 15 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Human-Computer Interaction, 4 papers in General Health Professions and 4 papers in Family Practice. Recurrent topics in Marco Dianti's work include Medication Adherence and Compliance (4 papers), Virtual Reality Applications and Impacts (4 papers) and Mobile Health and mHealth Applications (4 papers). Marco Dianti is often cited by papers focused on Medication Adherence and Compliance (4 papers), Virtual Reality Applications and Impacts (4 papers) and Mobile Health and mHealth Applications (4 papers). Marco Dianti collaborates with scholars based in Italy and Canada. Marco Dianti's co-authors include Silvia Gabrielli, Stefano Forti, Susanna Pardini, Caterina Novara, Rosa Maimone, Gesualdo M. Zucco, Ornella Mich, Enrico Maria Piras, Claudio Eccher and Francesca Maines and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Marco Dianti

15 papers receiving 233 citations

Peers

Countries citing papers authored by Marco Dianti

Since Specialization

Citations

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

Fields of papers citing papers by Marco Dianti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Dianti

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

All Works

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15 of 15 papers shown

#	Title	Journal	Authors	Indexed citations
1	Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review	Sensors	Susanna Pardini, Marco Dianti et al.	14
2	Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review	Preprints.org	Susanna Pardini, Marco Dianti et al.	7
3	Personalized, Naturalistic Virtual Reality Scenarios Coupled With Web-Based Progressive Muscle Relaxation Training for the General Population: Protocol for a Proof-of-Principle Randomized Controlled Trial	JMIR Research Protocols	Susanna Pardini, Silvia Gabrielli et al.	7
4	Personalized Virtual Reality Compared With Guided Imagery for Enhancing the Impact of Progressive Muscle Relaxation Training: Pilot Randomized Controlled Trial	JMIR Mental Health	Susanna Pardini, Silvia Gabrielli et al.	9
5	Customized virtual reality naturalistic scenarios promoting engagement and relaxation in patients with cognitive impairment: a proof-of-concept mixed-methods study	Scientific Reports	Susanna Pardini, Silvia Gabrielli et al.	8
6	Co-Design of a Virtual Reality Multiplayer Adventure Game for Adolescents With Autism Spectrum Disorder: Mixed Methods Study	JMIR Serious Games	Silvia Gabrielli, Marco Dianti et al.	8
7	A Remote Monitoring System to Optimize the Home Management of Oral Anticancer Therapies (ONCO-TreC): Prospective Training–Validation Trial	Journal of Medical Internet Research	Alessandro Passardi, Flavia Foca et al.	4
8	Use of the ONCO-TreC electronic diary compared with a standard paper diary to improve adherence to oral cancer therapy in patients with solid and haematological tumours: protocol for a randomised controlled trial	BMJ Open	Alessandro Passardi, Patrizia Serra et al.	1
9	The Role of Personalization in the User Experience, Preferences and Engagement with Virtual Reality Environments for Relaxation	International Journal of Environmental Research and Public Health	Susanna Pardini, Silvia Gabrielli et al.	52
10	Enabling teleophthalmology during the COVID-19 pandemic in the Province of Trento, Italy: Design and implementation of a mHealth solution	PLoS ONE	Lorenzo Gios, Marco Dianti et al.	10
11	Using Geocaching to Promote Active Aging: Qualitative Study	Journal of Medical Internet Research	Marco Dianti, Stefano Forti et al.	6
12	Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children	JMIR mhealth and uhealth	Silvia Gabrielli, Marco Dianti et al.	54
13	Optimisation and validation of a remote monitoring system (Onco-TreC) for home-based management of oral anticancer therapies: an Italian multicentre feasibility study	BMJ Open	Alessandro Passardi, Mimma Rizzo et al.	22
14	Integrating mHealth in Oncology: Experience in the Province of Trento	Journal of Medical Internet Research	Enzo Galligioni, Enrico Maria Piras et al.	35
15	What's Up: Fostering Intergenerational Social Interactions	Institutional Research Information System (Università degli Studi di Trento)	Marco Dianti, Fabio Casati et al.	5

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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