Luca de Alfaro
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Information Systems top 1%
- Software top 1%
- Communication top 1%
- Co-authors
- Thomas A. HenzingerB. Thomas AdlerZohar MannaIan PyeRupak MajumdarMarco FaellaVishwanath RamanKrishnendu Chatterjee
- Topics
- Formal Methods in Verification (33 papers)Logic, programming, and type systems (18 papers)Logic, Reasoning, and Knowledge (13 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaCommunications of the ACM
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Luca de Alfaro
76 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 1.1k
- Information Systems 707
- Software 449
- Communication 442
Countries citing papers authored by Luca de Alfaro
This map shows the geographic impact of Luca de Alfaro'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 Luca de Alfaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca de Alfaro more than expected).
Fields of papers citing papers by Luca de Alfaro
This network shows the impact of papers produced by Luca de Alfaro. 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 Luca de Alfaro. The network helps show where Luca de Alfaro may publish in the future.
Co-authorship network of co-authors of Luca de Alfaro
This figure shows the co-authorship network connecting the top 25 collaborators of Luca de Alfaro. A scholar is included among the top collaborators of Luca de Alfaro 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 Luca de Alfaro. Luca de Alfaro 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 | 3 | |
| 3 | 2 | |
| 4 | Approaching Fair Collision-Free Channel Access with Slotted ALOHA Using Collaborative Policy-Based Reinforcement Learning | 16 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Dynamics of Peer Grading: An Empirical Study. | 6 |
| 8 | Learning From Graph Neighborhoods Using LSTMs | 3 |
| 9 | Human-Powered Top-k Lists | 17 |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | Algorithms for Game Metrics (Full Version) | 3 |
| 14 | 1 | |
| 15 | 49 | |
| 16 | 0 | |
| 17 | 54 | |
| 18 | 48 | |
| 19 | 33 | |
| 20 | The Verification of Probabilistic Systems Under Memoryless Partial-Information Policies is Hard | 6 |
About Luca de Alfaro
Luca de Alfaro is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Formal Methods in Verification (33 papers), Logic, programming, and type systems (18 papers) and Logic, Reasoning, and Knowledge (13 papers). The work is most often cited by research in Software (449 citations), Computational Theory and Mathematics (1.1k citations) and Communication (442 citations). Luca de Alfaro has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Thomas A. Henzinger, B. Thomas Adler, Zohar Manna, Ian Pye, Rupak Majumdar, Marco Faella, Vishwanath Raman, Krishnendu Chatterjee, Mariëlle Stoelinga and Orna Kupferman. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Communications of the ACM.
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.