Davide Martinenghi
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Science Applications top 5%
- Co-authors
- Marco TagliasacchiPiero FraternaliAndrea Calı̀Paolo CiacciaStefano CeriDaniele BragaFlorian DanielHenning Christiansen
- Topics
- Data Management and Algorithms (25 papers)Advanced Database Systems and Queries (18 papers)Mobile Crowdsensing and Crowdsourcing (9 papers)
- Journals
- Journal of the ACMIEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB Endowment
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Davide Martinenghi
43 papers receiving 414 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 210
- Computer Networks and Communications 200
- Artificial Intelligence 153
- Information Systems 151
- Computer Science Applications 67
Countries citing papers authored by Davide Martinenghi
This map shows the geographic impact of Davide Martinenghi'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 Martinenghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Martinenghi more than expected).
Fields of papers citing papers by Davide Martinenghi
This network shows the impact of papers produced by Davide Martinenghi. 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 Martinenghi. The network helps show where Davide Martinenghi may publish in the future.
Co-authorship network of co-authors of Davide Martinenghi
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Martinenghi. A scholar is included among the top collaborators of Davide Martinenghi 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 Martinenghi. Davide Martinenghi 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 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 37 | |
| 11 | 10 | |
| 12 | 34 | |
| 13 | 3 | |
| 14 | 35 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | Simplification of database integrity constraints revisited: A transformational approach | 1 |
| 19 | Optimal database locks for efficient integrity checking | 1 |
| 20 | 4 |
About Davide Martinenghi
Davide Martinenghi is a scholar working on Signal Processing, Computer Science Applications and Computer Networks and Communications, having authored 50 papers that have together received 434 indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Advanced Database Systems and Queries (18 papers) and Mobile Crowdsensing and Crowdsourcing (9 papers). The work is most often cited by research in Signal Processing (210 citations), Computer Science Applications (67 citations) and Computer Networks and Communications (200 citations). Davide Martinenghi has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Marco Tagliasacchi, Piero Fraternali, Andrea Calı̀, Paolo Ciaccia, Stefano Ceri, Daniele Braga, Florian Daniel, Henning Christiansen, Ihab F. Ilyas and Mohamed A. Soliman. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.
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.