Andrea Ferrario

2.0k total citations
80 papers, 1.0k citations indexed

About

Andrea Ferrario is a scholar working on Genetics, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Andrea Ferrario has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 16 papers in Artificial Intelligence and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Andrea Ferrario's work include Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (15 papers) and Ethics and Social Impacts of AI (14 papers). Andrea Ferrario is often cited by papers focused on Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (15 papers) and Ethics and Social Impacts of AI (14 papers). Andrea Ferrario collaborates with scholars based in Switzerland, Italy and Australia. Andrea Ferrario's co-authors include Michele Loi, Eleonora Viganò, Nikola Biller‐Andorno, Florian von Wangenheim, Michele Merli, Francesco Passamonti, Margherita Maffioli, Roberto La Marca, Christoph Höelscher and Victor R. Schinazi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Andrea Ferrario

75 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Ferrario Switzerland 18 224 189 142 103 101 80 1.0k
Juan M. Durán Spain 17 180 0.8× 119 0.6× 231 1.6× 31 0.3× 35 0.3× 38 942
Mladen Petrovečki Croatia 22 33 0.1× 345 1.8× 191 1.3× 71 0.7× 33 0.3× 103 1.5k
Pascal Borry Belgium 38 142 0.6× 82 0.4× 80 0.6× 169 1.6× 140 1.4× 251 5.2k
Annelien L. Bredenoord Netherlands 30 126 0.6× 45 0.2× 95 0.7× 81 0.8× 60 0.6× 138 3.1k
Holly Else 14 161 0.7× 126 0.7× 338 2.4× 7 0.1× 15 0.1× 95 1.3k
Stylianos Serghiou United States 13 101 0.5× 46 0.2× 58 0.4× 32 0.3× 11 0.1× 23 1.0k
Edward S. Dove United Kingdom 23 199 0.9× 86 0.5× 94 0.7× 14 0.1× 8 0.1× 100 1.6k
KATE JOHNSON Canada 19 113 0.5× 45 0.2× 6 0.0× 23 0.2× 97 1.0× 63 1.2k
Davide Cirillo Spain 18 139 0.6× 41 0.2× 159 1.1× 16 0.2× 15 0.1× 35 1.5k

Countries citing papers authored by Andrea Ferrario

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Ferrario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Ferrario

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Ferrario. A scholar is included among the top collaborators of Andrea Ferrario 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 Andrea Ferrario. Andrea Ferrario 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.
Ferrario, Andrea, et al.. (2025). Social Misattributions in Conversations with Large Language Models. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 8(1). 913–925.
2.
Starke, Georg, Felix Gille, Yves Saint James Aquino, et al.. (2025). Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts. Journal of Medical Internet Research. 27. e56306–e56306. 10 indexed citations
3.
Ferrario, Andrea, et al.. (2024). Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems. Minds and Machines. 34(3). 16 indexed citations
4.
Ferrario, Andrea & Nikola Biller‐Andorno. (2024). Large language models in medical ethics: useful but not expert. Journal of Medical Ethics. 50(9). 653–654. 7 indexed citations
5.
Wangenheim, Florian von, et al.. (2024). Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions. AI & Society. 40(4). 2083–2106. 12 indexed citations
6.
Ferrario, Andrea, et al.. (2023). A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application. Frontiers in Digital Health. 5. 1274717–1274717. 1 indexed citations
7.
Wangenheim, Florian von, et al.. (2023). Investigating Employees’ Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study. Journal of Medical Internet Research. 25. e44131–e44131. 7 indexed citations
8.
Ferrario, Andrea. (2023). Justifying our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach. SSRN Electronic Journal. 1 indexed citations
9.
Ferrario, Andrea, et al.. (2022). Ethics of the algorithmic prediction of goal of care preferences: from theory to practice. Journal of Medical Ethics. 49(3). 165–174. 23 indexed citations
10.
11.
Ferrario, Andrea, Angelina J. Polsinelli, Matthias R. Mehl, et al.. (2022). Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach. JMIR Aging. 5(1). e28333–e28333. 10 indexed citations
12.
Weisberg, Steven M., Victor R. Schinazi, Andrea Ferrario, & Nora S. Newcombe. (2022). Evaluating the effects of a programming error on a virtual environment measure of spatial navigation behavior.. Journal of Experimental Psychology Learning Memory and Cognition. 49(4). 575–589. 3 indexed citations
13.
Biller‐Andorno, Nikola, et al.. (2021). AI support for ethical decision-making around resuscitation: proceed with care. Journal of Medical Ethics. 48(3). 175–183. 30 indexed citations
14.
Ferrario, Andrea, et al.. (2020). Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning. Journal of Medical Internet Research. 22(9). e19133–e19133. 21 indexed citations
15.
Merli, Michele, Lorenza Bertù, Andrea Ferrario, et al.. (2019). Clonal B-Cell Lymphocytosis with Mariginal-Zone Features: Comparison with Overt Splenic Marginal-Zone Lymphomas in 77 Patients from a Monocentric Series. Blood. 134(Supplement_1). 4017–4017. 1 indexed citations
16.
17.
Pierce, Simon, Andrea Ferrario, Roberta M. Ceriani, et al.. (2013). Pea seed extracts stimulate germination of the terrestrial orchid Ophrys apifera Huds. during a habitat restoration project. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 149(1). 54–60. 4 indexed citations
18.
Pierce, Simon, Andrea Ferrario, & Bruno Enrico Leone Cerabolini. (2010). Outbreeding and asymbiotic germination in the conservation of the endangered Italian endemic orchid Ophrys benacensis. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 144(1). 121–127. 12 indexed citations
19.
Calaque, Damien, et al.. (2010). Bimodules and branes in deformation quantization. Compositio Mathematica. 147(1). 105–160. 13 indexed citations
20.
Goldaniga, Maria, Andrea Ferrario, Sergio Cortelazzo, et al.. (2005). CD5 negative chronic B cell leukemias : a polycentric retrospective study. Haematologica. 90. 119–119. 1 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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