Liliana Cabral

21 papers receiving 271 citations

Peers

Liliana Cabral
Comparison fields: 5 of 55
  • Information Systems 207
  • Artificial Intelligence 204
  • Management Information Systems 111
  • Computer Networks and Communications 68
  • Management Science and Operations Research 32
Replace Yildiray Kabak with:
Yildiray Kabak Türkiye
Viviane Torres da Silva Brazil
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Barbara Oliboni Italy
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Citations per year

Countries citing papers authored by Liliana Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Liliana Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liliana Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Liliana Cabral. A scholar is included among the top collaborators of Liliana Cabral 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 Liliana Cabral. Liliana Cabral 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 41
2
From RESTful to SPARQL: a case study on generating semantic sensor data
15
3 8
4
Building the WSMO-Lite test collection on the SEALS Platform
3
5
Evaluating Semantic Web Service tools using the SEALS platform
2
6 40
7 31
8 14
9 2
10 2
11 46
12
Knowledge modelling for integrating e-government applications and Semantic Web Services
7
13
Experiences from semantic web service tutorials
1
14
Knowledge modelling for integrating semantic web services in e-government applications
2
15
A position statement on IRS-III: a comprehensive approach to creating and using semantic web services
1
16
A conceptual model for semantically-based e-government portals
3
17
Mediation of semantic web services in IRS-III
10
18
Integration of OWL-S into IRS-III
9
19
IRS III: a platform and infrastructure for creating WSMO based semantic web services
61
20
OCML ontologies to XML schema lowering
2

About Liliana Cabral

Liliana Cabral is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 21 papers that have together received 304 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Service-Oriented Architecture and Web Services (19 papers) and Business Process Modeling and Analysis (9 papers). The work is most often cited by research in Management Information Systems (111 citations), Information Systems (207 citations) and Artificial Intelligence (204 citations). Liliana Cabral has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include John Domingue, Barry Norton, Farshad Hakimpour, Enrico Motta, Denílson Sell, Alessio Gugliotta, Vlad Tanasescu, Stefania Galizia, Carlos Pedrinaci and Lora Aroyo. Their work appears in journals such as Lecture notes in computer science, Journal of Web Semantics and International Journal for Population Data Science.

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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