Leonardo Sousa

667 total citations
26 papers, 434 citations indexed

About

Leonardo Sousa is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Leonardo Sousa has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 13 papers in Software and 8 papers in Computer Networks and Communications. Recurrent topics in Leonardo Sousa's work include Software Engineering Research (24 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (12 papers). Leonardo Sousa is often cited by papers focused on Software Engineering Research (24 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (12 papers). Leonardo Sousa collaborates with scholars based in Brazil, United States and United Kingdom. Leonardo Sousa's co-authors include Alessandro Garcia, Willian Oizumi, Diego Cedrim, Anderson Oliveira, Roberto Oliveira, Rafael de Mello, Rohit Gheyi, Carlos Lucena, Baldoíno Fonseca and Márcio Ribeiro and has published in prestigious journals such as CATENA, Information and Software Technology and Information Systems.

In The Last Decade

Leonardo Sousa

26 papers receiving 428 citations

Peers

Leonardo Sousa

IS

SOFTW

CNC

CSA

AI

Diego Cedrim Brazil

Amjed Tahir New Zealand

Eric Bouwers Netherlands

Walid M. Ibrahim Canada

Amir Michail Australia

Naresh Chauhan India

John Businge Netherlands

Frank Steinbrückner Germany

Felipe Ebert Netherlands

Santiago Vidal Argentina

Diego Cedrim Brazil

Leonardo Sousa

244 ×0.6

IS

180 ×0.7

SOFTW

99 ×0.8

CNC

28 ×0.4

CSA

28 ×0.4

AI

Citations per year, relative to Leonardo Sousa Leonardo Sousa (= 1×) peers Diego Cedrim

Countries citing papers authored by Leonardo Sousa

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Sousa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Sousa

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Sousa. A scholar is included among the top collaborators of Leonardo Sousa 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 Leonardo Sousa. Leonardo Sousa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Mancini, Marcelo, Leonardo Sousa, Milson Evaldo Serafim, et al.. (2025). Can environmental variables, high sampling density and machine learning deliver detailed maps of soil organic carbon and carbon stock in tropical regions?. CATENA. 249. 108718–108718. 1 indexed citations

2.

Oliveira, Anderson, Leonardo Sousa, Wesley K. G. Assunção, et al.. (2023). Don’t Forget the Exception! : Considering Robustness Changes to Identify Design Problems. 417–429. 2 indexed citations

3.

Oizumi, Willian, et al.. (2020). Recommending Composite Refactorings for Smell Removal. 72–81. 7 indexed citations

4.

Sousa, Leonardo, Diego Cedrim, Alessandro Garcia, et al.. (2020). Characterizing and Identifying Composite Refactorings. 186–197. 20 indexed citations

5.

Sousa, Leonardo, Willian Oizumi, Alessandro Garcia, et al.. (2020). When Are Smells Indicators of Architectural Refactoring Opportunities. 354–365. 12 indexed citations

6.

Fernandes, Eduardo, et al.. (2020). Refactoring effect on internal quality attributes: What haven’t they told you yet?. Information and Software Technology. 126. 106347–106347. 34 indexed citations

7.

Oliveira, Anderson, Leonardo Sousa, Willian Oizumi, & Alessandro Garcia. (2019). On the Prioritization of Design-Relevant Smelly Elements. 7 indexed citations

8.

Oizumi, Willian, Leonardo Sousa, Anderson Oliveira, et al.. (2019). On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study. 346–357. 19 indexed citations

9.

Sousa, Leonardo, Anderson Oliveira, Willian Oizumi, et al.. (2018). Identifying design problems in the source code. Lancaster EPrints (Lancaster University). 921–931. 36 indexed citations

10.

Oizumi, Willian, Leonardo Sousa, Anderson Oliveira, et al.. (2018). On the identification of design problems in stinky code: experiences and tool support. Journal of the Brazilian Computer Society. 24(1). 22 indexed citations

11.

Fernandes, Eduardo, Gustavo Vale, Leonardo Sousa, et al.. (2017). No Code Anomaly is an Island:Anomaly Agglomeration as Sign of Product Line Instabilities. Lancaster EPrints (Lancaster University). 48–64. 10 indexed citations

12.

Sousa, Leonardo, Roberto Oliveira, Alessandro Garcia, et al.. (2017). How Do Software Developers Identify Design Problems?. UEA Digital Repository (University of East Anglia). 54–63. 13 indexed citations

13.

Oliveira, Roberto, Leonardo Sousa, Rafael de Mello, et al.. (2017). Collaborative Identification of Code Smells: A Multi-Case Study. 33–42. 13 indexed citations

14.

Cedrim, Diego, Alessandro Garcia, Rohit Gheyi, et al.. (2017). Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects. 465–475. 55 indexed citations

15.

Oizumi, Willian, Leonardo Sousa, Alessandro Garcia, et al.. (2017). Revealing design problems in stinky code. 1–10. 8 indexed citations

16.

Mello, Rafael de, Roberto Oliveira, Leonardo Sousa, & Alessandro Garcia. (2017). Towards Effective Teams for the Identification of Code Smells. 62–65. 7 indexed citations

17.

Sousa, Leonardo. (2016). Spotting design problems with smell agglomerations. 863–866. 7 indexed citations

18.

Oizumi, Willian, et al.. (2016). Code anomalies flock together. 440–451. 74 indexed citations

19.

Cedrim, Diego, Leonardo Sousa, Alessandro Garcia, & Rohit Gheyi. (2016). Does refactoring improve software structural quality? A longitudinal study of 25 projects. 73–82. 26 indexed citations

20.

Vincenzi, Auri Marcelo Rizzo, et al.. (2013). Evolução de software livre baseada em métricas de qualidade: Um estudo de caso. 815–826. 1 indexed citations

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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