Marcello Ienca

10.2k citations
82 papers · 5.2k indexed · 3 hit papers · h-index 27

Marcello Ienca

77 papers receiving 5.0k citations

Hit Papers

On the responsible use of digital data to tackle the COVI...296201920262021202350010001.5k2.0k

Peers

Marcello Ienca
Comparison fields: 5 of 171
  • Health Informatics 1.0k
  • Safety Research 1.9k
  • Cognitive Neuroscience 1.2k
  • Applied Psychology 236
  • Artificial Intelligence 1.2k
Replace Josh Cowls with:
Josh Cowls United Kingdom
Brent Mittelstadt United Kingdom
Timnit Gebru United States
Bernd Carsten Stahl United Kingdom
Jean‐François Bonnefon France
Carey K. Morewedge United States
Anna Jobin Switzerland
Cade Massey United States
Anita Williams Woolley United States
Solon Barocas United States
Marcello Ienca relative to Josh Cowls United Kingdom Josh Cowls's profile →
Citations per field
00.5×5.2×
Josh Cowls · 1×
Citations per year

Countries citing papers authored by Marcello Ienca

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Ienca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marcello Ienca, 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 Marcello Ienca Line = papers co-authored together Marcello Ienca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20241
5 202414
6 20245
7 20241
8 202330
9 202332
10 202212
11 202225
12 20211
13 20210
14 20213
15 2021115
16 202153
17 202025
18 201831
19 201827
20 2017237

About Marcello Ienca

Marcello Ienca is a scholar working on Health Informatics, Cognitive Neuroscience, Safety Research, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 82 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (25 papers), Ethics in Clinical Research (18 papers), Ethics and Social Impacts of AI (14 papers), Neuroscience and Neural Engineering (12 papers), Artificial Intelligence in Healthcare and Education (11 papers), EEG and Brain-Computer Interfaces (10 papers), Neurological disorders and treatments (8 papers) and Cognitive Functions and Memory (5 papers). The work is most often cited by research in Health Informatics (1.0k citations), Safety Research (1.9k citations), Cognitive Neuroscience (1.2k citations), Applied Psychology (236 citations) and Artificial Intelligence (1.2k citations). Marcello Ienca has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Effy Vayena, Anna Jobin, Roberto Andorno, Reto W. Kressig, Fabrice Jotterand, Tenzin Wangmo, Bernice S. Elger, Pim Haselager, James Scheibner and Joanna Sleigh. Their work appears in journals such as BMC Medical Ethics, Nature Machine Intelligence, Ethics and Information Technology, Frontiers in Psychiatry and Brain stimulation.

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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2026