Silvia T. Acuña
- Information Systems top 1%
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Natália JuristoMarta N. GómezJohn W. CastroAna M. MorenoJuan de LaraXavier FerréÓscar DiesteJo Erskine Hannay
- Topics
- Software Engineering Techniques and Practices (35 papers)Software Engineering Research (20 papers)Usability and User Interface Design (14 papers)
In The Last Decade
Silvia T. Acuña
49 papers receiving 916 citations
Peers
Comparison fields: 5 of 77
- Information Systems 560
- Computer Science Applications 176
- Artificial Intelligence 159
- Social Psychology 128
- Human-Computer Interaction 126
Countries citing papers authored by Silvia T. Acuña
This map shows the geographic impact of Silvia T. Acuña'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 Silvia T. Acuña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia T. Acuña more than expected).
Fields of papers citing papers by Silvia T. Acuña
This network shows the impact of papers produced by Silvia T. Acuña. 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 Silvia T. Acuña. The network helps show where Silvia T. Acuña may publish in the future.
Co-authorship network of co-authors of Silvia T. Acuña
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia T. Acuña. A scholar is included among the top collaborators of Silvia T. Acuña 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 Silvia T. Acuña. Silvia T. Acuña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | 2 | |
| 4 | 35 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 63 | |
| 13 | 10 | |
| 14 | Enriching requirements analysis with the Personas technique | 16 |
| 15 | Study of the Relationships between Personality, Satisfaction and Product Quality in Software Development Teams. | 1 |
| 16 | 5 | |
| 17 | 89 | |
| 18 | Una Formalización de la Dinámica del Proceso de Desarrollo de Software. | 0 |
| 19 | Software Process Modelling | 32 |
| 20 | 6 |
About Silvia T. Acuña
Silvia T. Acuña is a scholar working on Human-Computer Interaction, Computer Science Applications and Information Systems, having authored 56 papers that have together received 971 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (35 papers), Software Engineering Research (20 papers) and Usability and User Interface Design (14 papers). The work is most often cited by research in Computer Science Applications (176 citations), Information Systems (560 citations) and Software (88 citations). Silvia T. Acuña has collaborated with scholars based in Spain, Chile and Argentina. Frequent co-authors include Natália Juristo, Marta N. Gómez, John W. Castro, Ana M. Moreno, Juan de Lara, Xavier Ferré, Óscar Dieste, Jo Erskine Hannay, Dietmar Pfahl and Sira Vegas. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.