Antonio Rago

608 total citations
21 papers, 251 citations indexed

About

Antonio Rago is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Antonio Rago has authored 21 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Management Information Systems. Recurrent topics in Antonio Rago's work include Explainable Artificial Intelligence (XAI) (10 papers), Multi-Agent Systems and Negotiation (8 papers) and Topic Modeling (8 papers). Antonio Rago is often cited by papers focused on Explainable Artificial Intelligence (XAI) (10 papers), Multi-Agent Systems and Negotiation (8 papers) and Topic Modeling (8 papers). Antonio Rago collaborates with scholars based in United Kingdom, Italy and Sweden. Antonio Rago's co-authors include Francesca Toni, Pietro Baroni, Oana Cocarascu, Christos Bechlivanidis, Kristijonas Čyras, Marco Aurisicchio, David A. Lagnado, Francesco Belardinelli, Vasa Ćurčin and Aruna Sivakumar and has published in prestigious journals such as Artificial Intelligence, Information Fusion and International Journal of Approximate Reasoning.

In The Last Decade

Antonio Rago

17 papers receiving 239 citations

Peers

Antonio Rago

MIS

PSIR

Oana Cocarascu United Kingdom

Shuofei Qiao China

Kristijonas Čyras United Kingdom

Braden Hancock United States

Varun Dogra India

Oh‐Woog Kwon South Korea

Ho-Pun Lam Australia

Saurabh Tiwary United States

John Aslanides United Kingdom

Son Bao Pham Vietnam

Oana Cocarascu United Kingdom

Antonio Rago

237 ×1.0

84 ×1.6

10 ×0.4

MIS

7 ×0.6

6 ×0.8

PSIR

Citations per year, relative to Antonio Rago Antonio Rago (= 1×) peers Oana Cocarascu

Countries citing papers authored by Antonio Rago

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Rago

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Rago

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Rago. A scholar is included among the top collaborators of Antonio Rago 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 Antonio Rago. Antonio Rago 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

Rago, Antonio, et al.. (2025). Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference. Information Fusion. 120. 103057–103057. 1 indexed citations

Todd, J.‐C., et al.. (2025). Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy. Research Portal (King's College London). 1082–1089.

Thomas, D. N., et al.. (2025). Explainable Reinforcement Learning for Formula One Race Strategy. Research Portal (King's College London). 1090–1097.

Rago, Antonio, et al.. (2025). Argumentative review aggregation and dialogical explanations. Artificial Intelligence. 340. 104291–104291. 1 indexed citations

Rago, Antonio & María Vanina Martínez. (2024). Advancing Interactive Explainable AI via Belief Change Theory. 931–937.

Čyras, Kristijonas, Oana Cocarascu, Francis Ruiz, et al.. (2023). ROAD2H: Development and evaluation of an open‐source explainable artificial intelligence approach for managing co‐morbidity and clinical guidelines. Learning Health Systems. 8(2). e10391–e10391. 3 indexed citations

Toni, Francesca, Antonio Rago, & Kristijonas Čyras. (2023). Forecasting with jury-based probabilistic argumentation. Journal of Applied Non-Classical Logics. 33(3-4). 224–243.

Rago, Antonio, et al.. (2023). Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers. Frontiers in Artificial Intelligence. 6. 1099407–1099407. 1 indexed citations

Rago, Antonio, et al.. (2022). Forecasting Argumentation Frameworks. Spiral (Imperial College London). 533–543. 1 indexed citations

10.

Rago, Antonio, Pietro Baroni, & Francesca Toni. (2022). Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement. Spiral (Imperial College London). 505–509. 1 indexed citations

11.

He, Chloe, et al.. (2021). Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks. Autonomous Agents and Multi-Agent Systems. 1761–1763. 4 indexed citations

12.

Čyras, Kristijonas, et al.. (2021). Argumentative XAI: A Survey. Institutional Research Information System (Università degli Studi di Brescia). 41 indexed citations

13.

Rago, Antonio, Oana Cocarascu, Christos Bechlivanidis, & Francesca Toni. (2020). Argumentation as a Framework for Interactive Explanations for Recommendations. Spiral (Imperial College London). 805–815. 16 indexed citations

14.

Rago, Antonio, et al.. (2020). Relation-Based Counterfactual Explanations for Bayesian Network Classifiers. 451–457. 21 indexed citations

15.

Cocarascu, Oana, Antonio Rago, & Francesca Toni. (2019). Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents. Spiral (Imperial College London). 1261–1269. 17 indexed citations

16.

Baroni, Pietro, Antonio Rago, & Francesca Toni. (2018). From fine-grained properties to broad principles for gradual argumentation: A principled spectrum. International Journal of Approximate Reasoning. 105. 252–286. 29 indexed citations

17.

Baroni, Pietro, Antonio Rago, & Francesca Toni. (2018). How Many Properties Do We Need for Gradual Argumentation?. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 24 indexed citations

18.

Rago, Antonio, Oana Cocarascu, & Francesca Toni. (2018). Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. Research Portal (King's College London). 1949–1955. 35 indexed citations

19.

Rago, Antonio, Francesca Toni, Marco Aurisicchio, & Pietro Baroni. (2016). Discontinuity-free decision support with quantitative argumentation debates. Spiral (Imperial College London). 63–72. 27 indexed citations

20.

Rago, Antonio, Kristijonas Čyras, & Francesca Toni. (2016). Adapting the DF-QuAD algorithm to bipolar argumentation. Spiral (Imperial College London). 34–39. 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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