Diego Cedrim

496 total citations
13 papers, 279 citations indexed

About

Diego Cedrim is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Diego Cedrim has authored 13 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Software and 5 papers in Computer Networks and Communications. Recurrent topics in Diego Cedrim's work include Software Engineering Research (11 papers), Software Reliability and Analysis Research (9 papers) and Software System Performance and Reliability (5 papers). Diego Cedrim is often cited by papers focused on Software Engineering Research (11 papers), Software Reliability and Analysis Research (9 papers) and Software System Performance and Reliability (5 papers). Diego Cedrim collaborates with scholars based in Brazil, United States and Canada. Diego Cedrim's co-authors include Alessandro Garcia, Leonardo Sousa, Eduardo Fernandes, Rohit Gheyi, Baldoíno Fonseca, Willian Oizumi, Rafael de Mello, Anderson Oliveira, Márcio Ribeiro and Anderson Rodrigo Moraes de Oliveira and has published in prestigious journals such as Information and Software Technology and Information Systems.

In The Last Decade

Diego Cedrim

13 papers receiving 271 citations

Peers

Diego Cedrim

IS

SOFTW

CNC

AI

CSA

Anderson Uchôa Brazil

Leonardo Sousa Brazil

Xavier Blanc France

Amjed Tahir New Zealand

Vaibhav Anu United States

Frank Steinbrückner Germany

Santiago Vidal Argentina

Emad Aghajani Switzerland

Felipe Ebert Netherlands

Quinten David Soetens Belgium

Anderson Uchôa Brazil

Diego Cedrim

198 ×0.8

IS

124 ×0.7

SOFTW

56 ×0.6

CNC

34 ×1.2

AI

55 ×2.0

CSA

Citations per year, relative to Diego Cedrim Diego Cedrim (= 1×) peers Anderson Uchôa

Countries citing papers authored by Diego Cedrim

Since Specialization

Citations

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

Fields of papers citing papers by Diego Cedrim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Cedrim

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

All Works

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13 of 13 papers shown

1.

Oliveira, Anderson, Willian Oizumi, Leonardo Sousa, et al.. (2022). Smell Patterns as Indicators of Design Degradation. 311–320. 1 indexed citations

2.

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

3.

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

4.

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

5.

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

6.

Fernandes, Eduardo, Alessandro Garcia, Marcos Kalinowski, et al.. (2019). A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells. 1–11. 33 indexed citations

7.

Fernandes, Eduardo, Diego Cedrim, Anderson Uchôa, et al.. (2018). The buggy side of code refactoring. 406–407. 10 indexed citations

8.

Sousa, Leonardo, Rafael de Mello, Diego Cedrim, et al.. (2018). VazaDengue: An information system for preventing and combating mosquito-borne diseases with social networks. Information Systems. 75. 26–42. 26 indexed citations

9.

Fernandes, Eduardo, et al.. (2017). How does refactoring affect internal quality attributes?. 74–83. 52 indexed citations

10.

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

11.

Cedrim, Diego. (2016). Context-sensitive identification of refactoring opportunities. 827–830. 1 indexed citations

12.

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

13.

Cedrim, Diego, et al.. (2016). Vigilância Entomológica da Dengue, Zika e Chikungunya: Uma Solução Baseada em Redes Sociais e Dispositivos Móveis. 2567–2576. 2 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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