Davide Lanti

1.2k total citations
20 papers, 465 citations indexed

About

Davide Lanti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Davide Lanti has authored 20 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Management Science and Operations Research. Recurrent topics in Davide Lanti's work include Semantic Web and Ontologies (18 papers), Advanced Database Systems and Queries (11 papers) and Data Quality and Management (8 papers). Davide Lanti is often cited by papers focused on Semantic Web and Ontologies (18 papers), Advanced Database Systems and Queries (11 papers) and Data Quality and Management (8 papers). Davide Lanti collaborates with scholars based in Italy, Sweden and Norway. Davide Lanti's co-authors include Guohui Xiao, Martín Rezk, Diego Calvanese, Mariano Rodríguez-Muro, Benjamin Cogrel, Roman Kontchakov, Arild Waaler, Ernesto Jiménez-Ruiz, Ahmet Soylu and Martin Giese and has published in prestigious journals such as Computer, Knowledge-Based Systems and ACM SIGMOD Record.

In The Last Decade

Davide Lanti

17 papers receiving 411 citations

Peers

Davide Lanti
Davide Lanti
Citations per year, relative to Davide Lanti Davide Lanti (= 1×) peers Martín Rezk

Countries citing papers authored by Davide Lanti

Since Specialization
Citations

This map shows the geographic impact of Davide Lanti'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 Davide Lanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Lanti more than expected).

Fields of papers citing papers by Davide Lanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide Lanti. 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 Davide Lanti. The network helps show where Davide Lanti may publish in the future.

Co-authorship network of co-authors of Davide Lanti

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Lanti. A scholar is included among the top collaborators of Davide Lanti 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 Davide Lanti. Davide Lanti 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.
Lanti, Davide, et al.. (2025). Ontology-based data federation and query optimization. Knowledge-Based Systems. 329. 114216–114216.
2.
Calvanese, Diego, et al.. (2024). OBDF: OBDA + Data Federation – Extended Abstract. IRIS Research product catalog (Sapienza University of Rome). 381–383. 1 indexed citations
3.
Calvanese, Diego, Avigdor Gal, Davide Lanti, et al.. (2023). Conceptually-grounded mapping patterns for Virtual Knowledge Graphs. Data & Knowledge Engineering. 145. 102157–102157. 3 indexed citations
4.
Corcoglioniti, Francesco, Davide Lanti, Alessandro Mosca, et al.. (2022). A systematic overview of data federation systems. Semantic Web. 15(1). 107–165. 7 indexed citations
5.
Lanti, Davide, et al.. (2022). Ontology-based Data Federation. DiVA at Umeå University (Umeå University). 10–19. 4 indexed citations
6.
Amer-Yahia, Sihem, Georgia Koutrika, Martín Braschler, et al.. (2022). INODE. ACM SIGMOD Record. 50(4). 23–29. 8 indexed citations
7.
Calvanese, Diego, Davide Lanti, Tarcisio Mendes de Farias, Alessandro Mosca, & Guohui Xiao. (2021). Accessing scientific data through knowledge graphs with Ontop. Patterns. 2(10). 100346–100346. 7 indexed citations
8.
Amer-Yahia, Sihem, Georgia Koutrika, Martín Braschler, et al.. (2021). INODE : building an end-to-end data exploration system in practice. ACM SIGMOD Record. 1 indexed citations
9.
Calvanese, Diego, et al.. (2020). Counting Query Answers over a DL-Lite Knowledge Base. View. 1658–1666.
10.
Calvanese, Diego, et al.. (2019). Enriching Ontology-based Data Access with Provenance. View. 1616–1623. 1 indexed citations
11.
Lanti, Davide, Guohui Xiao, & Diego Calvanese. (2018). VIG: Data scaling for OBDA benchmarks. Semantic Web. 10(2). 413–433. 11 indexed citations
12.
Manthey, Norbert, et al.. (2018). Modern Cooperative Parallel SAT Solving. EPiC series in computing. 29. 41–26.
13.
Kharlamov, Evgeny, Dimitris Bilidas, Dag Hovland, et al.. (2017). Ontology Based Data Access in Statoil. SSRN Electronic Journal. 5 indexed citations
14.
Kharlamov, Evgeny, Dag Hovland, Martin G. Skjæveland, et al.. (2017). Ontology Based Data Access in Statoil. Journal of Web Semantics. 44. 3–36. 68 indexed citations
15.
Lanti, Davide, Guohui Xiao, & Diego Calvanese. (2016). Fast and Simple Data Scaling for OBDA Benchmarks.. View. 2 indexed citations
16.
Calvanese, Diego, Benjamin Cogrel, Roman Kontchakov, et al.. (2016). Ontop: Answering SPARQL queries over relational databases. Semantic Web. 8(3). 471–487. 252 indexed citations
17.
Lanti, Davide, Martín Rezk, Guohui Xiao, & Diego Calvanese. (2015). The NPD Benchmark: Reality Check for OBDA Systems. View. 21 indexed citations
18.
Giese, Martin, Ahmet Soylu, Guillermo Vega‐Gorgojo, et al.. (2015). Optique: Zooming in on Big Data. Computer. 48(3). 60–67. 62 indexed citations
19.
Lanti, Davide, et al.. (2014). The NPD Benchmark for OBDA Systems. View. 1261. 3–18. 11 indexed citations
20.
Calvanese, Diego, et al.. (2014). A Scalable Benchmark for OBDA Systems: Preliminary Report.. View. 36–43. 1 indexed citations

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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