Luciano Cabral

679 total citations
20 papers, 433 citations indexed

About

Luciano Cabral is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Luciano Cabral has authored 20 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Science Applications. Recurrent topics in Luciano Cabral's work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (7 papers). Luciano Cabral is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (7 papers). Luciano Cabral collaborates with scholars based in Brazil, United States and Australia. Luciano Cabral's co-authors include Rafael Dueire Lins, Steven J. Simske, Rinaldo Lima, Rafael Ferreira, Fred Freitas, George D. C. Cavalcanti, Frederico Freitas, Rafael Ferreira, Rafael Ferreira Mello and Luiz Rodrigues and has published in prestigious journals such as Expert Systems with Applications, Journal of Learning Analytics and Monash University Research Portal (Monash University).

In The Last Decade

Luciano Cabral

16 papers receiving 403 citations

Peers

Luciano Cabral
Comparison fields: 5 of 42
  • Artificial Intelligence 407
  • Information Systems 59
  • Management Science and Operations Research 15
  • Molecular Biology 14
  • Political Science and International Relations 9
Replace Rafael Ferreira with:
Rafael Ferreira Brazil
Rinaldo Lima Brazil
Bonaventura Coppola Italy
Weiguang Qu China
Makbule Gülçin Özsoy Türkiye
Camelia Ignat Italy
Ibrahim Bounhas Tunisia
James Hammerton Netherlands
Antonio Rago United Kingdom
Son Bao Pham Vietnam
Rafael Ferreira Brazil View profile →
Citations per field, relative to Luciano Cabral
Luciano Cabral · 1×
Citations per year, relative to Luciano Cabral
Luciano Cabral · 1×

Countries citing papers authored by Luciano Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Luciano Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luciano Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Luciano Cabral. A scholar is included among the top collaborators of Luciano 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 Luciano Cabral. Luciano 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
# Work Indexed citations
1 5
2 0
3 0
4 2
5 0
6 1
7 0
8 2
9 12
10 1
11 1
12 17
13 5
14 9
15 32
16 86
17 26
18
A Four Dimension Graph Model for Automatic Text Summarization.
3
19 230
20 1

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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