Roberto Confalonieri
About
In The Last Decade
Roberto Confalonieri
46 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 831
- Health Informatics 214
- Computer Vision and Pattern Recognition 109
- Safety Research 102
- Information Systems 90
Countries citing papers authored by Roberto Confalonieri
This map shows the geographic impact of Roberto Confalonieri'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 Roberto Confalonieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Confalonieri more than expected).
Fields of papers citing papers by Roberto Confalonieri
This network shows the impact of papers produced by Roberto Confalonieri. 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 Roberto Confalonieri. The network helps show where Roberto Confalonieri may publish in the future.
Co-authorship network of co-authors of Roberto Confalonieri
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Confalonieri. A scholar is included among the top collaborators of Roberto Confalonieri 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 Roberto Confalonieri. Roberto Confalonieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions breakdown → | 172 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence breakdown → | 687 |
| 6 | 13 | |
| 7 | Towards Even More Irresistible Axiom Weakening. | 3 |
| 8 | An Ontology-based Approach to Explaining Artificial Neural Networks. | 12 |
| 9 | What makes a good explanation? Cognitive dimensions of explaining intelligent machines. | 8 |
| 10 | Repairing ontologies via axiom weakening | 14 |
| 11 | Coherence, Similarity, and Concept Generalisation | 8 |
| 12 | The Yoneda Path to the Buddhist Monk Blend | 3 |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | Nested logic programs with ordered disjunction | 1 |
| 19 | 70 | |
| 20 | WARM: a scientific group on rice modelling | 4 |
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.