Eduardo Figueiredo
- Information Systems top 0.2%
- Artificial Intelligence top 1%
- Software top 0.5%
- Computer Networks and Communications top 2%
- Computer Science Applications top 1%
- Co-authors
- Alessandro GarciaCláudio Sant’AnnaGustavo ValeMaurício Ronny de Almeida SouzaNélio CachoCarlos LucenaUirá KuleszaFernando Castor
- Topics
- Software Engineering Research (102 papers)Advanced Software Engineering Methodologies (64 papers)Software Engineering Techniques and Practices (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Software EngineeringIEEE Software
- Partner nations
- BrazilUnited KingdomGermany
In The Last Decade
Eduardo Figueiredo
126 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 70
- Information Systems 1.8k
- Artificial Intelligence 1.1k
- Software 738
- Computer Networks and Communications 508
- Computer Science Applications 293
Countries citing papers authored by Eduardo Figueiredo
This map shows the geographic impact of Eduardo Figueiredo'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 Eduardo Figueiredo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Figueiredo more than expected).
Fields of papers citing papers by Eduardo Figueiredo
This network shows the impact of papers produced by Eduardo Figueiredo. 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 Eduardo Figueiredo. The network helps show where Eduardo Figueiredo may publish in the future.
Co-authorship network of co-authors of Eduardo Figueiredo
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Figueiredo. A scholar is included among the top collaborators of Eduardo Figueiredo 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 Eduardo Figueiredo. Eduardo Figueiredo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review. | 1 |
| 10 | Commit Classification using Natural Language Processing: Experiments over Labeled Datasets. | 3 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 0 | |
| 19 | 231 | |
| 20 | 7 |
About Eduardo Figueiredo
Eduardo Figueiredo is a scholar working on Software, Information Systems and Computer Science Applications, having authored 138 papers that have together received 2.2k indexed citations. Recurring topics across this work include Software Engineering Research (102 papers), Advanced Software Engineering Methodologies (64 papers) and Software Engineering Techniques and Practices (47 papers). The work is most often cited by research in Software (738 citations), Information Systems (1.8k citations) and Computer Science Applications (293 citations). Eduardo Figueiredo has collaborated with scholars based in Brazil, United Kingdom and Germany. Frequent co-authors include Alessandro Garcia, Cláudio Sant’Anna, Gustavo Vale, Maurício Ronny de Almeida Souza, Nélio Cacho, Carlos Lucena, Alessandro Garcia, Uirá Kulesza, Fernando Castor and Heitor Costa. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and IEEE Software.
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.