Umberto Grandi
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Computational Theory and Mathematics
- Signal Processing
- Co-authors
- Ulle EndrissDaniele PorelloFrancesca RossiL SolainiAndrea LoreggiaVijay SaraswatStéphane AiriauPaolo Turrini
- Topics
- Game Theory and Voting Systems (22 papers)Logic, Reasoning, and Knowledge (12 papers)Auction Theory and Applications (12 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligencePhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- FranceItalyNetherlands
In The Last Decade
Umberto Grandi
39 papers receiving 221 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 110
- Economics and Econometrics 105
- Management Science and Operations Research 81
- Computational Theory and Mathematics 28
- Signal Processing 19
Countries citing papers authored by Umberto Grandi
This map shows the geographic impact of Umberto Grandi'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 Umberto Grandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Grandi more than expected).
Fields of papers citing papers by Umberto Grandi
This network shows the impact of papers produced by Umberto Grandi. 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 Umberto Grandi. The network helps show where Umberto Grandi may publish in the future.
Co-authorship network of co-authors of Umberto Grandi
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Grandi. A scholar is included among the top collaborators of Umberto Grandi 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 Umberto Grandi. Umberto Grandi 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 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | A Network-Based Rating System and its Resistance to Bribery | 0 |
| 8 | A Borda count for collective sentiment analysis | 2 |
| 9 | 10 | |
| 10 | From Sentiment Analysis to Preference Aggregation. | 4 |
| 11 | Binary aggregation by selection of the most representative voter | 7 |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 36 | |
| 15 | 9 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | Complexity of winner determination and strategic manipulation in judgment aggregation | 5 |
| 19 | 15 | |
| 20 | IL PRELIEVO MULTIORGANO DA CADAVERE PER TRAPIANTO | 0 |
About Umberto Grandi
Umberto Grandi is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence, having authored 44 papers that have together received 224 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (22 papers), Logic, Reasoning, and Knowledge (12 papers) and Auction Theory and Applications (12 papers). The work is most often cited by research in Management Science and Operations Research (81 citations), Economics and Econometrics (105 citations) and Artificial Intelligence (110 citations). Umberto Grandi has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Ulle Endriss, Daniele Porello, Francesca Rossi, L Solaini, Andrea Loreggia, Vijay Saraswat, Stéphane Airiau, Paolo Turrini, Antonino Cavallari and R Bellusci. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.