Marco Bardus

1.6k citations
37 papers · 934 indexed · 1 hit paper · h-index 14

Marco Bardus

35 papers receiving 905 citations

Hit Papers

A review and content analysis of engagement, functionalit...255201620262019202250100150200250

Peers

Marco Bardus
Comparison fields: 5 of 113
  • Applied Psychology 269
  • General Health Professions 617
  • Health 119
  • Human-Computer Interaction 46
  • Information Systems and Management 50
Replace Cameron Lister with:
Cameron Lister United States
Rajani S. Sadasivam United States
Silje C Wangberg Norway
Maddalena Fiordelli Switzerland
Stephanie K. Van Stee United States
Lorraine R Buis United States
Maarten van Limburg Netherlands
Hannah Payne United States
Gillian Strudwick Canada
Bree Holtz United States
Marco Bardus relative to Cameron Lister United States Cameron Lister's profile →
Citations per field
00.5×4.3×
Cameron Lister · 1×
Citations per year

Countries citing papers authored by Marco Bardus

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bardus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marco Bardus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Bardus Line = papers co-authored together Marco Bardus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20243
4 20240
5 20232
6 202313
7 20237
8 20225
9 20229
10 202215
11 202163
12 20219
13 20218
14 2020161
15 202070
16 201925
17 201813
18 201823
19 201610
20 201559

About Marco Bardus

Marco Bardus is a scholar working on Applied Psychology, Health, General Health Professions, Human-Computer Interaction and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 934 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (19 papers), Health Literacy and Information Accessibility (7 papers), Social Media in Health Education (6 papers), Global Maternal and Child Health (4 papers), Physical Activity and Health (4 papers), Digital Mental Health Interventions (4 papers), Innovative Human-Technology Interaction (4 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Applied Psychology (269 citations), General Health Professions (617 citations), Health (119 citations), Human-Computer Interaction (46 citations) and Information Systems and Management (50 citations). Marco Bardus has collaborated with scholars based in Lebanon, United Kingdom and Switzerland. Frequent co-authors include Charles Abraham, Jane Smith, Samantha van Beurden, Tamar Kabakian‐Khasholian, Fadi El‐Jardali, May A. Massoud, Holly Blake, Scott Lloyd, L. Suzanne Suggs and Lokman I. Meho. Their work appears in journals such as Journal of Medical Internet Research, JMIR mhealth and uhealth, European Journal of Public Health, International Journal of Environmental Research and Public Health and Digital Health.

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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