Daniele Nardi
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Aerospace Engineering top 2%
- Co-authors
- Luca IocchiMaurizio LenzeriniDiego CalvaneseFrancesco M. DoniniAlessandro FarinelliRiccardo RosatiAndrea SchaerfDeborah L. McGuinness
- Topics
- Robotic Path Planning Algorithms (40 papers)Semantic Web and Ontologies (39 papers)Modular Robots and Swarm Intelligence (33 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEEJournal of Medicinal Chemistry
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniele Nardi
212 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.5k
- Computer Networks and Communications 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 706
- Aerospace Engineering 622
Countries citing papers authored by Daniele Nardi
This map shows the geographic impact of Daniele Nardi'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 Daniele Nardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Nardi more than expected).
Fields of papers citing papers by Daniele Nardi
This network shows the impact of papers produced by Daniele Nardi. 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 Daniele Nardi. The network helps show where Daniele Nardi may publish in the future.
Co-authorship network of co-authors of Daniele Nardi
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Nardi. A scholar is included among the top collaborators of Daniele Nardi 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 Daniele Nardi. Daniele Nardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 27 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 71 | |
| 14 | 15 | |
| 15 | 5 | |
| 16 | UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling | 11 |
| 17 | 24 | |
| 18 | Reasoning in description logics | 172 |
| 19 | Information Access in the Web. | 2 |
| 20 | An Efficient Method for Hybrid Deduction. | 7 |
About Daniele Nardi
Daniele Nardi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 227 papers that have together received 4.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (40 papers), Semantic Web and Ontologies (39 papers) and Modular Robots and Swarm Intelligence (33 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Networks and Communications (1.3k citations) and Computer Vision and Pattern Recognition (1.1k citations). Daniele Nardi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luca Iocchi, Maurizio Lenzerini, Diego Calvanese, Francesco M. Donini, Alessandro Farinelli, Riccardo Rosati, Andrea Schaerf, Deborah L. McGuinness, Peter F. Patel‐Schneider and Franz Baader. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Medicinal Chemistry.
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.