Ángel L. Rubio
- Information Systems top 10%
- Artificial Intelligence
- Management Information Systems top 10%
- Software top 10%
- Computer Science Applications top 10%
- Co-authors
- Beatriz PérezMaría A. ZapataEladio DomínguezCésar DomínguezA.M. VargasMihaela NegreanuFrancisco UreñaÓscar Díaz
- Topics
- Business Process Modeling and Analysis (5 papers)Model-Driven Software Engineering Techniques (4 papers)Advanced Software Engineering Methodologies (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringInformation and Software TechnologyKnowledge and Information Systems
- Partner nations
- Spain
In The Last Decade
Ángel L. Rubio
14 papers receiving 188 citations
Peers
Comparison fields: 5 of 63
- Information Systems 82
- Artificial Intelligence 45
- Management Information Systems 41
- Software 37
- Computer Science Applications 33
Countries citing papers authored by Ángel L. Rubio
This map shows the geographic impact of Ángel L. Rubio'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 Ángel L. Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel L. Rubio more than expected).
Fields of papers citing papers by Ángel L. Rubio
This network shows the impact of papers produced by Ángel L. Rubio. 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 Ángel L. Rubio. The network helps show where Ángel L. Rubio may publish in the future.
Co-authorship network of co-authors of Ángel L. Rubio
This figure shows the co-authorship network connecting the top 25 collaborators of Ángel L. Rubio. A scholar is included among the top collaborators of Ángel L. Rubio 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 Ángel L. Rubio. Ángel L. Rubio 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 | 5 | |
| 3 | 11 | |
| 4 | 41 | |
| 5 | 44 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 34 | |
| 13 | 19 | |
| 14 | HISTORIA DEL PERIODISMO UNIVERSAL | 11 |
| 15 | 15 | |
| 16 | 5 |
About Ángel L. Rubio
Ángel L. Rubio is a scholar working on Software, Management Information Systems and Computer Science Applications, having authored 16 papers that have together received 198 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (5 papers), Model-Driven Software Engineering Techniques (4 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Software (37 citations), Computer Science Applications (33 citations) and Management Information Systems (41 citations). Ángel L. Rubio has collaborated with scholars based in Spain. Frequent co-authors include Beatriz Pérez, María A. Zapata, Eladio Domínguez, César Domínguez, A.M. Vargas, Mihaela Negreanu, Francisco Ureña, Óscar Díaz, Judith Millán and Pedro J. Campos. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information and Software Technology and Knowledge and Information Systems.
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.