Letícia Machado
- Computer Science Applications top 2%
- Information Systems top 10%
- Sociology and Political Science
- Human-Computer Interaction top 10%
- Information Systems and Management
- Co-authors
- Cleidson R. B. de SouzaRafael PrikladnickiErran CarmelMarcelo Gattermann PerinClara CaldeiraIgor SteinmacherPaulo G. WindischFelipe Gonzatti
- Topics
- Open Source Software Innovations (15 papers)Mobile Crowdsensing and Crowdsourcing (13 papers)Software Engineering Research (9 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Letícia Machado
22 papers receiving 238 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 126
- Information Systems 103
- Sociology and Political Science 38
- Human-Computer Interaction 27
- Information Systems and Management 19
Countries citing papers authored by Letícia Machado
This map shows the geographic impact of Letícia Machado'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 Letícia Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letícia Machado more than expected).
Fields of papers citing papers by Letícia Machado
This network shows the impact of papers produced by Letícia Machado. 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 Letícia Machado. The network helps show where Letícia Machado may publish in the future.
Co-authorship network of co-authors of Letícia Machado
This figure shows the co-authorship network connecting the top 25 collaborators of Letícia Machado. A scholar is included among the top collaborators of Letícia Machado 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 Letícia Machado. Letícia Machado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 32 | |
| 11 | 28 | |
| 12 | Um Estudo Qualitativo sobre Crowdsourcing: Análise da Colaboração na plataforma TopCoder. | 1 |
| 13 | 9 | |
| 14 | 27 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 5 |
About Letícia Machado
Letícia Machado is a scholar working on Computer Science Applications, Information Systems and Business and International Management, having authored 22 papers that have together received 244 indexed citations. Recurring topics across this work include Open Source Software Innovations (15 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and Software Engineering Research (9 papers). The work is most often cited by research in Computer Science Applications (126 citations), Human-Computer Interaction (27 citations) and Information Systems (103 citations). Letícia Machado has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Cleidson R. B. de Souza, Rafael Prikladnicki, Erran Carmel, Marcelo Gattermann Perin, Clara Caldeira, Igor Steinmacher, Paulo G. Windisch, Felipe Gonzatti, Alexandre Álvaro and Luciana Zaina. Their work appears in journals such as IEEE Software, Information and Software Technology and Empirical Software Engineering.
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.