Federico Chesani
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Information Systems top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Marco AlbertiPaola MelloMarco GavanelliPaolo TorroniEvelina LammaMarco MontaliMichela MilanoSergio Storari
- Topics
- Multi-Agent Systems and Negotiation (10 papers)Logic, Reasoning, and Knowledge (8 papers)Semantic Web and Ontologies (8 papers)
In The Last Decade
Federico Chesani
13 papers receiving 140 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 130
- Information Systems 50
- Management Information Systems 49
- Computer Networks and Communications 26
- Computational Theory and Mathematics 15
Countries citing papers authored by Federico Chesani
This map shows the geographic impact of Federico Chesani'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 Federico Chesani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Chesani more than expected).
Fields of papers citing papers by Federico Chesani
This network shows the impact of papers produced by Federico Chesani. 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 Federico Chesani. The network helps show where Federico Chesani may publish in the future.
Co-authorship network of co-authors of Federico Chesani
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Chesani. A scholar is included among the top collaborators of Federico Chesani 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 Federico Chesani. Federico Chesani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 74 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Policy-based reasoning for smart web service interaction. | 2 |
| 9 | 25 | |
| 10 | 2 | |
| 11 | Expressing Interaction in Combinatorial Auction through Social Integrity Constraints. | 5 |
| 12 | The CHR-based Implementation of a System for Generation and Confirmation of Hypotheses. | 5 |
| 13 | Compliance Verification of Agent Interaction: a Logic-Based Tool | 15 |
About Federico Chesani
Federico Chesani is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems and Management, having authored 13 papers that have together received 149 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (10 papers), Logic, Reasoning, and Knowledge (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Management Information Systems (49 citations), Artificial Intelligence (130 citations) and Information Systems (50 citations). Federico Chesani has collaborated with scholars based in Italy, Canada and India. Frequent co-authors include Marco Alberti, Paola Mello, Marco Gavanelli, Paolo Torroni, Evelina Lamma, Marco Montali, Michela Milano and Sergio Storari. Their work appears in journals such as International Journal of Electronic Commerce, Applied Artificial Intelligence and ACM Transactions on Computational Logic.
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.