A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field
By José Maria Alonso, C. Castiello, Corrado Mencar. 2018
75 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Longo Luca
- Giulia Vilone
- Shaker El-Sappagh
- José Maria Alonso
- K. Kwak
- S. M. Riazul Islam
- Ahmad M Sultan
- Xinyi Zhou
In Computational Theory and Mathematics
In Information Systems
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “(Alonso, Castiello, and Mencar, 2018; Biran and Cotton, 2017; Brézillon, 1994; Brézillon and Pomerol, 1997; Buchanan and Shortliffe, 1984; Chakraborty et al., 2017; Clancey, 1986; Core et al., 2006; Craven and Shavlik, 1996; Doran, Shulz, and Besold, 2017; Doshi-Velez and Kim, 2017ab; Doyle,…”
- A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease (2021, background): “Figure 6 shows a detailed description of our proposed XAI framework.”
- Explainable Artificial Intelligence: a Systematic Review (2020, methodology): “prefers the term understandability [63].”