Gianluca Correndo

600 citations
32 papers · 232 · h-index 8

Impact in

Papers in

Gianluca Correndo

31 papers receiving 210 citations

Peers

Gianluca Correndo
Comparison fields: 5 of 58
  • Health Information Management 31
  • Artificial Intelligence 141
  • Health Informatics 4
  • Management Science and Operations Research 31
  • Information Systems 56
Replace Cédric Pruski with:
Cédric Pruski Luxembourg
Marcos Da Silveira Luxembourg
Kathrin Dentler Netherlands
Claudiu Farcas United States
Michael Lawley Australia
William Grosso United States
Mark Delderfield United Kingdom
Jonghoon Chun South Korea
Andreas Borg Germany
Frédéric Oblé Belgium
Gianluca Correndo relative to Cédric Pruski Luxembourg Cédric Pruski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gianluca Correndo

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Correndo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gianluca Correndo, 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 Gianluca Correndo Line = papers co-authored together Gianluca Correndo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200445
2 201028
3 200327
4 200420
5
MABS Validation Through Repeated Execution and Data Mining Analisys
200611
6 201811
7
DATA MINING APPLIED TO AGENT BASED SIMULATION
200511
8 201010
9 20037
10
Geographical Service: a compass for the Web of Data.
20107
11 20105
12
Towards Social Performance Indicators for Community-based Ontology Evolution
20095
13 20105
14
Knowledge Representation and Reasoning for Fault Identification in a Space Robot Arm
19994
15 20094
16 20134
17 20043
18 20073
19
Integrating public datasets using linked data: challenges and design principles
20103
20 20082

About Gianluca Correndo

Gianluca Correndo is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 32 papers that have together received 232 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Service-Oriented Architecture and Web Services (12 papers), Advanced Database Systems and Queries (6 papers), Biomedical Text Mining and Ontologies (6 papers), Data Management and Algorithms (4 papers), Clinical practice guidelines implementation (4 papers), Geographic Information Systems Studies (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Health Information Management (31 citations), Artificial Intelligence (141 citations), Health Informatics (4 citations), Management Science and Operations Research (31 citations) and Information Systems (56 citations). Gianluca Correndo has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Paolo Terenziani, Stefania Montani, Gianpaolo Molino, Nigel Shadbolt, Mauro Torchio, Manuel Salvadores, Ian Millard, Hugh Glaser, Harith Alani and Luca Anselma. Their work appears in journals such as Semantic Web, Antimicrobial Agents and Chemotherapy, Lecture notes in computer science, Studies in health technology and informatics and Open Research Online (The Open University).

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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