Fábio Grandi

3.1k citations
102 papers · 1.3k indexed · h-index 18

Fábio Grandi

94 papers receiving 1.2k citations

Peers

Fábio Grandi
Comparison fields: 5 of 116
  • Signal Processing 420
  • Computer Networks and Communications 670
  • Internal Medicine 75
  • Nephrology 124
  • Artificial Intelligence 492
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Roman Fiedler Germany
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Countries citing papers authored by Fábio Grandi

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Grandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fábio Grandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fábio Grandi Line = papers co-authored together Fábio Grandi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20245
3 20223
4 201517
5 201413
6 201212
7 201034
8 20085
9 20086
10 200760
11 20078
12
An eGovernment System for Temporal- and Semantic-aware Access to Norms
20061
13 200626
14 200527
15
Advanced conceptual modeling techniques: ER 2002 workshops ECDM, MobIMod, IWCMQ, and eCOMO, Tampere, Finland, October 7-11, 2002: revised papers
20031
16
Acetate free hemodialysis Feasibility and comparison with acetate free biofiltration and bicarbonate dialysis
20021
17
A Relational Multi-Schema Data Model and Query Language for Full Support of Schema Versioning.
200211
18
A Semantic Approach for Schema Evolution and Versioning in Object-Oriented Databases.
20002
19
Schema Evolution and Versioning: a Logical and Computational Characterisation
20002
20
Extensional Data Management in Multitemporal Relational Databases Supporting Schema Versioning.
19950

About Fábio Grandi

Fábio Grandi is a scholar working on Signal Processing, Computer Networks and Communications and Nephrology, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (55 papers), Semantic Web and Ontologies (45 papers), Data Management and Algorithms (29 papers), Service-Oriented Architecture and Web Services (21 papers), Dialysis and Renal Disease Management (10 papers), Data Mining Algorithms and Applications (6 papers), Acute Kidney Injury Research (5 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Signal Processing (420 citations), Computer Networks and Communications (670 citations) and Internal Medicine (75 citations). Fábio Grandi has collaborated with scholars based in Italy, Tunisia and Australia. Frequent co-authors include Federica Mandreoli, Maria Rita Scalas, Paolo Tiberio, John F. Roddick, Peter Sandercock, Antonio Santoro, Marcello Naccarato, Nick Kline, Arie Segev and Richard T. Snodgrass. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Cochrane Database of Systematic Reviews.

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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