Maurizio Lenzerini
About
In The Last Decade
Maurizio Lenzerini
208 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 6.7k
- Computer Networks and Communications 5.0k
- Information Systems 2.8k
- Signal Processing 1.9k
- Management Science and Operations Research 1.3k
Countries citing papers authored by Maurizio Lenzerini
This map shows the geographic impact of Maurizio Lenzerini'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 Maurizio Lenzerini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Lenzerini more than expected).
Fields of papers citing papers by Maurizio Lenzerini
This network shows the impact of papers produced by Maurizio Lenzerini. 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 Maurizio Lenzerini. The network helps show where Maurizio Lenzerini may publish in the future.
Co-authorship network of co-authors of Maurizio Lenzerini
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Lenzerini. A scholar is included among the top collaborators of Maurizio Lenzerini 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 Maurizio Lenzerini. Maurizio Lenzerini 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 | Performance Model’s development: A novel approach encompassing ontology-based data access and visual analytics | 2 |
| 3 | 2 | |
| 4 | On Queries with Inequalities in DL-LiteR≠. | 0 |
| 5 | Connecting Big Scholarly Data With Science of Science Policy: An Ontology-Based-Data- Management (Obdm) Approach. | 1 |
| 6 | Towards Higher-Order DL-Lite. | 2 |
| 7 | Automatic Service Composition and Synthesis: the Roman Model. | 36 |
| 8 | EQL-lite: effective first-order query processing in description logics | 59 |
| 9 | Actions and programs over description logic ontologies | 12 |
| 10 | Source inconsistency and incompleteness in data integration | 36 |
| 11 | Semistructured data schemas with expressive constraints. | 1 |
| 12 | Containment of Conjunctive Regular Path Queries with Inverse. | 90 |
| 13 | Proceedings of the 1999 International Workshop on Description Logics | 46 |
| 14 | Semi-structured Data with Constraints and Incomplete Information. | 13 |
| 15 | Reasoning in description logics | 172 |
| 16 | What's in an aggregate: foundations for description logics with tuples and sets | 37 |
| 17 | Concept language with number restrictions and fixpoints, and its relationship with mu-calculus | 16 |
| 18 | An Efficient Method for Hybrid Deduction. | 7 |
| 19 | The complexity of closed world reasoning and circumscription | 31 |
| 20 | SERM: Semantic Entity-Relationship Model | 6 |
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.