Laurent Lefort

2.1k citations
20 papers · 394 indexed · h-index 9
Topics
Semantic Web and Ontologies (12 papers)Data Quality and Management (6 papers)Biomedical Text Mining and Ontologies (4 papers)

In The Last Decade

Laurent Lefort

19 papers receiving 356 citations

Peers

Laurent Lefort
Comparison fields: 5 of 66
  • Artificial Intelligence 213
  • Computer Networks and Communications 135
  • Information Systems 120
  • Signal Processing 68
  • Computer Vision and Pattern Recognition 66
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Countries citing papers authored by Laurent Lefort

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Lefort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Lefort

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Lefort. A scholar is included among the top collaborators of Laurent Lefort 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 Laurent Lefort. Laurent Lefort 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
#WorkIndexed citations
1 10
2 8
3
Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns
5
4
Demonstration: Semantic web enabled smart farm with GSN
6
5 8
6
Proceedings of the 4th International Conference on Ontology and Semantic Web Patterns - Volume 1188
2
7 54
8 15
9
Using CDISC ODM and the RDF Data Cube for the Semantic Enrichment of Longitudinal Clinical Trial Data.
8
10
A linked sensor data cube for a 100 year homogenised daily temperature dataset
21
11 3
12
Web Semantics: Science, Services and Agents on the World Wide Web
7
13
A Linked Sensor Data Cube for a 100 Year Homogenised Daily Temperature Dataset
3
14
Semantic Sensor Network XG Final Report
92
15
A survey of the semantic specification of sensors
122
16 0
17
A Data Network for Health e-Research.
2
18
Towards scalable ontology engineering patterns: lessons learned from an experiment based on W3C's part-whole guidelines
8
19
Large scale colour ontology generation with XO
3
20 17

About Laurent Lefort

Laurent Lefort is a scholar working on Management Science and Operations Research, Artificial Intelligence and Ecological Modeling, having authored 20 papers that have together received 394 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Data Quality and Management (6 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Signal Processing (68 citations) and Computer Networks and Communications (135 citations). Laurent Lefort has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Michael Compton, Cory Henson, Kerry Taylor, Holger Neuhaus, Amit Sheth, Hugo Leroux, David Lamb, Colin Griffith, Mark Trotter and Greg Falzon. Their work appears in journals such as IEEE Intelligent Systems, Semantic Web and Expert Systems.

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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