Chiara Piacentini
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Information Systems
- Co-authors
- Maria FoxDerek LongJ. Christopher BeckSara BernardiniDaniele MagazzeniChris DentAndré A. CiréPhil Taylor
- Topics
- AI-based Problem Solving and Planning (12 papers)Logic, Reasoning, and Knowledge (5 papers)Constraint Satisfaction and Optimization (5 papers)
- Journals
- Artificial IntelligenceIEEE Robotics and Automation LettersJournal of Artificial Intelligence Research
- Partner nations
- United KingdomCanadaItaly
In The Last Decade
Chiara Piacentini
19 papers receiving 473 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 270
- Computer Vision and Pattern Recognition 132
- Computer Networks and Communications 74
- Aerospace Engineering 51
- Information Systems 41
Countries citing papers authored by Chiara Piacentini
This map shows the geographic impact of Chiara Piacentini'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 Chiara Piacentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Piacentini more than expected).
Fields of papers citing papers by Chiara Piacentini
This network shows the impact of papers produced by Chiara Piacentini. 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 Chiara Piacentini. The network helps show where Chiara Piacentini may publish in the future.
Co-authorship network of co-authors of Chiara Piacentini
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Piacentini. A scholar is included among the top collaborators of Chiara Piacentini 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 Chiara Piacentini. Chiara Piacentini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | International Conference on Automated Planning and Scheduling | 41 |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Proceedings of the National Conference on Artificial Intelligencebreakdown → | 315 |
| 19 | 17 | |
| 20 | 5 |
About Chiara Piacentini
Chiara Piacentini is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 20 papers that have together received 481 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (12 papers), Logic, Reasoning, and Knowledge (5 papers) and Constraint Satisfaction and Optimization (5 papers). The work is most often cited by research in Artificial Intelligence (270 citations), Computer Vision and Pattern Recognition (132 citations) and Computational Mathematics (3 citations). Chiara Piacentini has collaborated with scholars based in United Kingdom, Canada and Italy. Frequent co-authors include Maria Fox, Derek Long, J. Christopher Beck, Sara Bernardini, Daniele Magazzeni, Chris Dent, André A. Ciré, Derek Long, Phil Taylor and Fabio Fagnani. Their work appears in journals such as Artificial Intelligence, IEEE Robotics and Automation Letters and Journal of Artificial Intelligence Research.
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.