María José Suárez‐Cabal
- Software top 2%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Signal Processing
- Co-authors
- Javier TuyaClaudio de la RivaRaquel BlancoAlejandro CalderónMercedes RuizJosé Javier Dolado
- Topics
- Software Testing and Debugging Techniques (13 papers)Software Reliability and Analysis Research (9 papers)Software System Performance and Reliability (8 papers)
- Journals
- IEEE Transactions on Software EngineeringJournal of Systems and SoftwareInformation and Software Technology
- Partner nations
- SpainUnited States
In The Last Decade
María José Suárez‐Cabal
20 papers receiving 318 citations
Peers
Comparison fields: 5 of 30
- Software 256
- Information Systems 157
- Computer Networks and Communications 151
- Artificial Intelligence 49
- Signal Processing 43
Countries citing papers authored by María José Suárez‐Cabal
This map shows the geographic impact of María José Suárez‐Cabal'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 María José Suárez‐Cabal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María José Suárez‐Cabal more than expected).
Fields of papers citing papers by María José Suárez‐Cabal
This network shows the impact of papers produced by María José Suárez‐Cabal. 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 María José Suárez‐Cabal. The network helps show where María José Suárez‐Cabal may publish in the future.
Co-authorship network of co-authors of María José Suárez‐Cabal
This figure shows the co-authorship network connecting the top 25 collaborators of María José Suárez‐Cabal. A scholar is included among the top collaborators of María José Suárez‐Cabal 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 María José Suárez‐Cabal. María José Suárez‐Cabal 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 | 6 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | Verificación del mantenimiento de la consistencia lógica en bases de datos Cassandra | 2 |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 30 | |
| 12 | Structural Coverage Criteria for Testing SQL Queries | 12 |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 45 | |
| 16 | 84 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 52 |
About María José Suárez‐Cabal
María José Suárez‐Cabal is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 21 papers that have together received 342 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (13 papers), Software Reliability and Analysis Research (9 papers) and Software System Performance and Reliability (8 papers). The work is most often cited by research in Software (256 citations), Information Systems (157 citations) and Computer Networks and Communications (151 citations). María José Suárez‐Cabal has collaborated with scholars based in Spain and United States. Frequent co-authors include Javier Tuya, Claudio de la Riva, Raquel Blanco, Alejandro Calderón, Mercedes Ruiz and José Javier Dolado. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Information and Software Technology.
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.