Mauro Negri

711 total citations
36 papers, 380 citations indexed

About

Mauro Negri is a scholar working on Computer Networks and Communications, Signal Processing and Geography, Planning and Development. According to data from OpenAlex, Mauro Negri has authored 36 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 21 papers in Signal Processing and 13 papers in Geography, Planning and Development. Recurrent topics in Mauro Negri's work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (14 papers) and Geographic Information Systems Studies (13 papers). Mauro Negri is often cited by papers focused on Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (14 papers) and Geographic Information Systems Studies (13 papers). Mauro Negri collaborates with scholars based in Italy and Mexico. Mauro Negri's co-authors include Giuseppe Pelagatti, Licia Sbattella, Stefano Ceri, Elisa Bertino, Alberto Belussi, Sara Migliorini, Roberto V. Zicari, Damiano Carra, Danièle Colombaroli and P. Sala and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Database Systems.

In The Last Decade

Mauro Negri

34 papers receiving 344 citations

Peers

Mauro Negri
Comparison fields: 5 of 46
  • Computer Networks and Communications 302
  • Signal Processing 200
  • Artificial Intelligence 153
  • Information Systems 98
  • Geography, Planning and Development 37
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Citations per field, relative to Mauro Negri
Mauro Negri · 1×
Citations per year, relative to Mauro Negri
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Countries citing papers authored by Mauro Negri

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Negri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Negri

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Negri. A scholar is included among the top collaborators of Mauro Negri 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 Mauro Negri. Mauro Negri 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
# Work Indexed citations
1 0
2 6
3 7
4 2
5 9
6
Design of the Data Transformation Architecture for the INSPIRE Data Model Browser
1
7 1
8 12
9 5
10
Specifiche Intesa-GIS per la realizzazione dei database topografici di interesse generale. Il modello concettuale GeoUML. Specifica formale in UML, 1n1010_1, v.2.1, 7/4/2004.
2
11
GeoUML: a Geographic Conceptual Model defined through specialization of ISO TC 211 standards
7
12 5
13
Management of data changes in GeoDatabases: time component in GIS
1
14
An overview of the Comandos Integration System
2
15 85
16 1
17 27
18 1
19 2
20 101

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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