Willian Oizumi

782 total citations
30 papers, 545 citations indexed

About

Willian Oizumi is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Willian Oizumi has authored 30 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 14 papers in Artificial Intelligence and 14 papers in Software. Recurrent topics in Willian Oizumi's work include Software Engineering Research (29 papers), Software Reliability and Analysis Research (14 papers) and Advanced Software Engineering Methodologies (14 papers). Willian Oizumi is often cited by papers focused on Software Engineering Research (29 papers), Software Reliability and Analysis Research (14 papers) and Advanced Software Engineering Methodologies (14 papers). Willian Oizumi collaborates with scholars based in Brazil, United States and Argentina. Willian Oizumi's co-authors include Alessandro Garcia, Leonardo Sousa, Thelma Elita Colanzi, Anderson Oliveira, Claudia Marcos, Santiago Vidal, Roberto Oliveira, Carlos Lucena, Diego Cedrim and Sílvia Regina Vergílio and has published in prestigious journals such as IEEE Software, Information and Software Technology and Science of Computer Programming.

In The Last Decade

Willian Oizumi

28 papers receiving 532 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Willian Oizumi Brazil	15	516	332	172	118	76	30	545
Vincenzo Ferme Switzerland	13	355 0.7×	232 0.7×	197 1.1×	91 0.8×	42 0.6×	24	425
Daniel Alencar da Costa New Zealand	13	552 1.1×	338 1.0×	197 1.1×	64 0.5×	86 1.1×	41	605
Riccardo Roveda Italy	11	398 0.8×	203 0.6×	187 1.1×	115 1.0×	58 0.8×	20	424
Sousuke Amasaki Japan	13	437 0.8×	348 1.0×	100 0.6×	87 0.7×	30 0.4×	71	483
Roberto S. Bigonha Brazil	8	315 0.6×	198 0.6×	125 0.7×	122 1.0×	36 0.5×	22	349
Raimund Moser Italy	6	660 1.3×	547 1.6×	236 1.4×	103 0.9×	52 0.7×	7	702
Ștefan Stănciulescu Denmark	8	302 0.6×	88 0.3×	102 0.6×	245 2.1×	54 0.7×	11	356
Ilaria Pigazzini Italy	8	304 0.6×	109 0.3×	168 1.0×	98 0.8×	40 0.5×	19	339
J.Q. Ning United States	9	315 0.6×	258 0.8×	66 0.4×	170 1.4×	25 0.3×	21	393

Countries citing papers authored by Willian Oizumi

Since Specialization

Citations

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

Fields of papers citing papers by Willian Oizumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willian Oizumi

This figure shows the co-authorship network connecting the top 25 collaborators of Willian Oizumi. A scholar is included among the top collaborators of Willian Oizumi 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 Willian Oizumi. Willian Oizumi 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

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

Mello, Rafael de, Roberto Oliveira, Anderson Uchôa, et al.. (2022). Recommendations for Developers Identifying Code Smells. IEEE Software. 40(2). 90–98. 8 indexed citations

Uchôa, Anderson, et al.. (2020). How Does Modern Code Review Impact Software Design Degradation? An In-depth Empirical Study. 511–522. 31 indexed citations

Assunção, Wesley K. G., et al.. (2020). Applying Machine Learning to Customized Smell Detection. 233–242. 6 indexed citations

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

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

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

Vidal, Santiago, et al.. (2019). Ranking architecturally critical agglomerations of code smells. Science of Computer Programming. 182. 64–85. 17 indexed citations

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

10.

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

11.

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

12.

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

13.

Colanzi, Thelma Elita, et al.. (2018). On Identifying Architectural Smells in Search-based Product Line Designs. 13–22. 1 indexed citations

14.

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

15.

Vidal, Santiago, et al.. (2016). On the criteria for prioritizing code anomalies to identify architectural problems. 1812–1814. 9 indexed citations

16.

Vidal, Santiago, et al.. (2016). Identifying Architectural Problems through Prioritization of Code Smells. 17. 41–50. 23 indexed citations

17.

Oizumi, Willian & Alessandro Garcia. (2016). Synthesis of Code Anomalies: Revealing Design Problems in the Source Code. 357–362. 1 indexed citations

18.

Oizumi, Willian, et al.. (2015). On the relationship of code-anomaly agglomerations and architectural problems. 3(1). 38 indexed citations

19.

Vidal, Santiago, et al.. (2015). JSpIRIT: a flexible tool for the analysis of code smells. 1–6. 46 indexed citations

20.

Colanzi, Thelma Elita, Sílvia Regina Vergílio, Itana Maria de Souza Gimenes, & Willian Oizumi. (2014). A search-based approach for software product line design. 237–241. 33 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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