Carlos Lucena

5.5k citations
319 papers · 2.5k indexed · h-index 23
Topics
Advanced Software Engineering Methodologies (112 papers)Service-Oriented Architecture and Web Services (92 papers)Software Engineering Research (71 papers)

In The Last Decade

Carlos Lucena

291 papers receiving 2.3k citations

Peers

Carlos Lucena
Comparison fields: 5 of 119
  • Information Systems 1.5k
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 611
  • Software 440
  • Management Information Systems 260
Replace Tommi Mikkonen with:
Tommi Mikkonen Finland
Craig Larman United States
Genoveffa Tortora Italy
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Brooks United Kingdom
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Carlos Lucena

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Lucena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Lucena

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Lucena. A scholar is included among the top collaborators of Carlos Lucena 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 Carlos Lucena. Carlos Lucena 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 6
2
A context-aware machine learning-based approach
9
3 1
4 3
5
JAAF: A Framework to Implement Self-adaptive Agents.
3
6 1
7 5
8
A Multi-Agent Architecture for a Dynamic Supply Chain Management
3
9 18
10
The Interaction Aspect Pattern
3
11 9
12 18
13 2
14 1
15
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
9
16 17
17
E-Learning e a Web Semântica
0
18
An Object-Oriented Framework for Creating Offerings.
2
19
Designing and Implementing Electronic Commerce Frameworks Using the Multi-Agent Systems Approach.
2
20
ADVcharts: a graphical specification for abstract data views
2

About Carlos Lucena

Carlos Lucena is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 319 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (112 papers), Service-Oriented Architecture and Web Services (92 papers) and Software Engineering Research (71 papers). The work is most often cited by research in Software (440 citations), Information Systems (1.5k citations) and Artificial Intelligence (1.4k citations). Carlos Lucena has collaborated with scholars based in Brazil, Canada and United Kingdom. Frequent co-authors include Alessandro Garcia, Uirá Kulesza, Hugo Fukś, Donald Cowan, Cláudio Sant’Anna, Marco Aurélio Gerosa, Arndt von Staa, Eduardo Figueiredo, Viviane Torres da Silva and Mariano Pimentel. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.

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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