Federico Cabitza

7.3k total citations · 2 hit papers
193 papers, 3.9k citations indexed

About

Federico Cabitza is a scholar working on Artificial Intelligence, Health Informatics and Health Information Management. According to data from OpenAlex, Federico Cabitza has authored 193 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 37 papers in Health Informatics and 23 papers in Health Information Management. Recurrent topics in Federico Cabitza's work include Artificial Intelligence in Healthcare and Education (37 papers), Explainable Artificial Intelligence (XAI) (22 papers) and Electronic Health Records Systems (19 papers). Federico Cabitza is often cited by papers focused on Artificial Intelligence in Healthcare and Education (37 papers), Explainable Artificial Intelligence (XAI) (22 papers) and Electronic Health Records Systems (19 papers). Federico Cabitza collaborates with scholars based in Italy, Spain and Portugal. Federico Cabitza's co-authors include Andrea Campagner, Raffaele Rasoini, Gian Franco Gensini, Giuseppe Banfi, Angela Locoro, Carla Simone, Anna Carobene, Davide Ciucci, Massimo Locatelli and Davide Ferrari and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Federico Cabitza

175 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unintended Consequences of Machine Learning in Medicine

2017 604 citations Federico Cabitza et al. profile →
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 172 citations Federico Cabitza et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Federico Cabitza Italy	28	1.3k	894	786	411	393	193	3.9k
Kun‐Hsing Yu United States	28	1.2k 0.9×	970 1.1×	1.3k 1.6×	316 0.8×	268 0.7×	58	4.2k
Benjamin S. Glicksberg United States	37	1.7k 1.3×	1.2k 1.3×	1.1k 1.4×	614 1.5×	366 0.9×	184	6.7k
Dominic King United Kingdom	27	672 0.5×	819 0.9×	745 0.9×	313 0.8×	399 1.0×	64	4.2k
Xiaoxuan Liu United Kingdom	23	841 0.6×	1.2k 1.3×	1.5k 1.8×	269 0.7×	188 0.5×	115	4.1k
Marzyeh Ghassemi United States	33	2.1k 1.6×	1.8k 2.1×	951 1.2×	533 1.3×	274 0.7×	111	4.8k
Haipeng Shen United States	25	940 0.7×	1.1k 1.2×	757 1.0×	463 1.1×	157 0.4×	85	4.6k
Jiang Bian United States	40	2.4k 1.8×	757 0.8×	489 0.6×	499 1.2×	200 0.5×	422	7.2k
A. S. Albahri Iraq	48	1.9k 1.4×	365 0.4×	813 1.0×	446 1.1×	186 0.5×	166	7.5k
Alastair K. Denniston United Kingdom	42	917 0.7×	1.3k 1.4×	2.3k 2.9×	306 0.7×	289 0.7×	221	6.6k
Yi Dong China	23	738 0.6×	1.1k 1.2×	806 1.0×	464 1.1×	325 0.8×	110	4.1k

Countries citing papers authored by Federico Cabitza

Since Specialization

Citations

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

Fields of papers citing papers by Federico Cabitza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Cabitza

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

All Works

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20 of 20 papers shown

Cabitza, Federico, et al.. (2026). Assessing Interaction Quality in Human–AI Dialogue: An Integrative Review and Multi-Layer Framework for Conversational Agents. Machine Learning and Knowledge Extraction. 8(2). 28–28.

Cabitza, Federico, et al.. (2026). Perceiving AI as an Epistemic Authority or Algority: A User Study on the Human Attribution of Authority to AI. Machine Learning and Knowledge Extraction. 8(2). 36–36.

Salvi, Massimo, Silvia Seoni, Andrea Campagner, et al.. (2025). Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. International Journal of Medical Informatics. 197. 105846–105846. 14 indexed citations

Baroncini, Alice, Andrea Campagner, Federico Cabitza, et al.. (2025). The use of machine learning for the prediction of response to follow-up in spine registries. International Journal of Medical Informatics. 195. 105752–105752. 1 indexed citations

Cabitza, Federico, et al.. (2025). From Oracular to Judicial: Enhancing Clinical Decision Making through Contrasting Explanations and a Novel Interaction Protocol. BOA (University of Milano-Bicocca). 745–754. 1 indexed citations

Branda, Francesco, Massimo Stella, C. Ceccarelli, et al.. (2025). The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review. Future Internet. 17(4). 145–145. 3 indexed citations

Serafin, Marco, Federico Cabitza, Gianpaolo Carrafiello, et al.. (2023). Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis. La radiologia medica. 128(5). 544–555. 33 indexed citations

Cabitza, Federico, et al.. (2023). Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. SHILAP Revista de lepidopterología. 5(1). 269–286. 9 indexed citations

Ferri, Alessandro, Federico Cabitza, Riccardo Colombo, et al.. (2023). The HIBAD Experience: Using Digital Health Technologies in the GDPR Era. Health Policy and Technology. 12(4). 100788–100788. 3 indexed citations

10.

Barandas, Marília, et al.. (2022). Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors. 22(19). 7324–7324. 14 indexed citations

11.

Carobene, Anna, Andrea Campagner, Adela Sulejmani, et al.. (2021). Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: External validation of state-of-the-art models.[Identificazione di positivita al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell'esame emocromocitometrico: Validazione esterna di modelli allo stato dell'arte]. BOA (University of Milano-Bicocca). 1 indexed citations

12.

Cabitza, Federico, Andrea Campagner, Davide Ferrari, et al.. (2020). Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests. Clinical Chemistry and Laboratory Medicine (CCLM). 59(2). 421–431. 110 indexed citations

13.

Locoro, Angela, Federico Cabitza, Aurelio Ravarini, & Paolo Buono. (2020). IGV Short Scale to Assess Implicit Value of Visualizations through Explicit Interaction. Applied Sciences. 10(18). 6189–6189. 2 indexed citations

14.

Cabitza, Federico, Francesco Del Zotti, & Angela Locoro. (2016). Probing interactivity in open data for General Practice. An evidence-based approach. BOA (University of Milano-Bicocca). 1658. 35–42. 1 indexed citations

15.

Cabitza, Federico & Angela Locoro. (2014). Between Form and Perform: the Knowledge Artifact in Organizations and IT Design. BOA (University of Milano-Bicocca). 2014. 271–280. 2 indexed citations

16.

Cabitza, Federico, et al.. (2012). Rule-Based Programming as Easy as a Child's Play. A User Study on Active Documents. BOA (University of Milano-Bicocca). 73–80. 2 indexed citations

17.

Cabitza, Federico, Marco Locatelli, & C. Simoné. (2011). CASMAS-WOAD to Achieve Integrated Care and Coordination among Heterogeneous Care Communities. BOA (University of Milano-Bicocca). 3. 462–471.

18.

Schettini, Raimondo, Gabriella Pasi, Gianluigi Ciocca, et al.. (2008). Toward a Unified Model for Information Quality. BOA (University of Milano-Bicocca). 113–122. 1 indexed citations

19.

Cabitza, Federico, et al.. (2006). Torres, a Conceptual Framework for Articulation Work across Boundaries. BOA (University of Milano-Bicocca). 137. 102–117. 5 indexed citations

20.

Cabitza, Federico, et al.. (2004). Supporting Wards with Interactive Resources and Logic-based Systems. BOA (University of Milano-Bicocca). 3 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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