Javier Fabra
- Physiology
- Immunology and Allergy top 5%
- Information Systems top 10%
- Otorhinolaryngology top 5%
- Surgery
- Co-authors
- Pedro ÁlvarezJoaquim MullolAntoni XaubetJordi Roca‐FerrerEduardo LópezLaura PujolsMarı́a RozmanCésar Picado
- Topics
- Business Process Modeling and Analysis (14 papers)Service-Oriented Architecture and Web Services (10 papers)Scientific Computing and Data Management (6 papers)
- Partner nations
- SpainNetherlands
In The Last Decade
Javier Fabra
32 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Physiology 105
- Immunology and Allergy 95
- Information Systems 88
- Otorhinolaryngology 77
- Surgery 56
Countries citing papers authored by Javier Fabra
This map shows the geographic impact of Javier Fabra'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 Javier Fabra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Fabra more than expected).
Fields of papers citing papers by Javier Fabra
This network shows the impact of papers produced by Javier Fabra. 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 Javier Fabra. The network helps show where Javier Fabra may publish in the future.
Co-authorship network of co-authors of Javier Fabra
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Fabra. A scholar is included among the top collaborators of Javier Fabra 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 Javier Fabra. Javier Fabra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | Detecting Suicide Risk Through Twitter | 1 |
| 5 | 1 | |
| 6 | 28 | |
| 7 | Using Model Checking to Identify Customers Purchasing Behaviour in an E-Commerce. | 1 |
| 8 | Using Cloud-based Resources to Improve Availability and Reliability in a Scientific Workflow Execution Framework | 6 |
| 9 | A Framework for the Flexible Deployment of Scientific Workflows in Grid Environments | 2 |
| 10 | COMBAS: a Semantic-Based Model Checking Framework | 2 |
| 11 | 2 | |
| 12 | How to Secure Off-Card Matching in Security-by-Contract for Open Multi-application Smart Cards | 1 |
| 13 | 6 | |
| 14 | State fragility indices: potentials, messages and limitations | 6 |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 26 | |
| 19 | 30 | |
| 20 | 65 |
About Javier Fabra
Javier Fabra is a scholar working on Management Information Systems, Information Systems and Management and Information Systems, having authored 32 papers that have together received 304 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (14 papers), Service-Oriented Architecture and Web Services (10 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Otorhinolaryngology (77 citations), Immunology and Allergy (95 citations) and Management Information Systems (54 citations). Javier Fabra has collaborated with scholars based in Spain and Netherlands. Frequent co-authors include Pedro Álvarez, Joaquim Mullol, Antoni Xaubet, Jordi Roca‐Ferrer, Eduardo López, Laura Pujols, Marı́a Rozman, César Picado, Esperanza Marcos and Valeria de Castro. Their work appears in journals such as IEEE Access, Clinical & Experimental Allergy and Future Generation Computer 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.