Umberto Grandi

1.1k total citations
44 papers, 224 citations indexed

About

Umberto Grandi is a scholar working on Artificial Intelligence, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Umberto Grandi has authored 44 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Economics and Econometrics and 17 papers in Management Science and Operations Research. Recurrent topics in Umberto Grandi's work include Game Theory and Voting Systems (22 papers), Logic, Reasoning, and Knowledge (12 papers) and Auction Theory and Applications (12 papers). Umberto Grandi is often cited by papers focused on Game Theory and Voting Systems (22 papers), Logic, Reasoning, and Knowledge (12 papers) and Auction Theory and Applications (12 papers). Umberto Grandi collaborates with scholars based in France, Italy and Netherlands. Umberto Grandi's co-authors include Ulle Endriss, Daniele Porello, Francesca Rossi, L Solaini, Vijay Saraswat, Andrea Loreggia, Stéphane Airiau, Paolo Turrini, Gian Luca Grazi and Judy Goldsmith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Umberto Grandi

39 papers receiving 221 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Umberto Grandi France 10 110 105 81 28 19 44 224
Qi Jiang United States 12 44 0.4× 130 1.2× 26 0.3× 14 0.5× 12 0.6× 37 382
İbrahim Özkan Türkiye 8 90 0.8× 111 1.1× 28 0.3× 16 0.6× 21 1.1× 33 304
Andreas Krause United Kingdom 8 41 0.4× 145 1.4× 48 0.6× 9 0.3× 4 0.2× 38 316
Pasin Manurangsi United States 8 63 0.6× 92 0.9× 77 1.0× 105 3.8× 9 0.5× 47 252
Joel Oren Canada 7 46 0.4× 56 0.5× 51 0.6× 20 0.7× 7 0.4× 17 139
Christian Klamler Austria 11 66 0.6× 220 2.1× 168 2.1× 65 2.3× 17 0.9× 40 299
Simina Brânzei United States 10 32 0.3× 161 1.5× 175 2.2× 21 0.8× 5 0.3× 31 257
W.P. Malcolm Australia 9 88 0.8× 172 1.6× 100 1.2× 5 0.2× 9 0.5× 31 390
Luigi Sauro Italy 12 271 2.5× 51 0.5× 87 1.1× 54 1.9× 5 0.3× 38 331
Aldo G. S. Ventre Italy 8 87 0.8× 21 0.2× 114 1.4× 59 2.1× 9 0.5× 35 224

Countries citing papers authored by Umberto Grandi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Grandi, Umberto, et al.. (2024). Large language models (LLMs) as agents for augmented democracy. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 382(2285). 20240100–20240100. 5 indexed citations
2.
Grandi, Umberto, et al.. (2023). Identifying and Eliminating Majority Illusion in Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5062–5069. 3 indexed citations
3.
Macedo, Mariana, et al.. (2023). Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections. Nature Human Behaviour. 8(1). 137–148. 3 indexed citations
4.
Grandi, Umberto. (2022). Interaction and Expressivity in Collective Decision-Making. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5813–5815. 1 indexed citations
5.
Grandi, Umberto, et al.. (2022). Preserving Consistency in Multi-Issue Liquid Democracy. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 201–207. 2 indexed citations
6.
Grandi, Umberto & Paolo Turrini. (2016). A Network-Based Rating System and its Resistance to Bribery. Toulouse Capitole Publications (University Toulouse 1 Capitole).
7.
Grandi, Umberto, et al.. (2015). Reasoning with PCP-nets in a Multi-Agent Context. Adaptive Agents and Multi-Agents Systems. 969–977. 10 indexed citations
8.
Grandi, Umberto, et al.. (2015). A Borda count for collective sentiment analysis. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
9.
Grandi, Umberto, Davide Grossi, & Paolo Turrini. (2014). Equilibrium Refinement through Negotiation in Binary Voting. arXiv (Cornell University). 540–546. 2 indexed citations
10.
Endriss, Ulle & Umberto Grandi. (2014). Binary aggregation by selection of the most representative voter. UvA-DARE (University of Amsterdam). 668–674. 7 indexed citations
11.
Grandi, Umberto, Andrea Loreggia, Francesca Rossi, & Vijay Saraswat. (2014). From Sentiment Analysis to Preference Aggregation.. Institutional Research Information System (Università degli Studi di Brescia). 4 indexed citations
12.
Grandi, Umberto & Ulle Endriss. (2013). Lifting integrity constraints in binary aggregation. Artificial Intelligence. 199-200. 45–66. 15 indexed citations
13.
Endriss, Ulle, Umberto Grandi, & Daniele Porello. (2012). Complexity of Judgment Aggregation. Journal of Artificial Intelligence Research. 45. 481–514. 36 indexed citations
14.
Grandi, Umberto. (2011). Combinatorial aggregation. UvA-DARE (University of Amsterdam). 2804–2805. 1 indexed citations
15.
Airiau, Stéphane, et al.. (2011). Aggregating Dependency Graphs into Voting Agendas in Multi-Issue Elections. UvA-DARE (University of Amsterdam). 9 indexed citations
16.
Grandi, Umberto, et al.. (2011). Binary Aggregation with Integrity Constraints. UvA-DARE (University of Amsterdam). 18 indexed citations
17.
Endriss, Ulle, Umberto Grandi, & Daniele Porello. (2010). Complexity of winner determination and strategic manipulation in judgment aggregation. UvA-DARE (University of Amsterdam). 5 indexed citations
18.
Grandi, Umberto & Ulle Endriss. (2010). Lifting Rationality Assumptions in Binary Aggregation. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 780–785. 6 indexed citations
19.
Solaini, L, et al.. (1995). Role of videoendoscopy in pulmonary surgery: present experience. European Journal of Cardio-Thoracic Surgery. 9(2). 65–68. 15 indexed citations
20.
Jovine, Elio, R Bellusci, Gian Luca Grazi, et al.. (1990). IL PRELIEVO MULTIORGANO DA CADAVERE PER TRAPIANTO. Chirurg. 3(4). 135–146.

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.

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