Javier Fabra

42 papers receiving 372 citations

Peers

Javier Fabra
Comparison fields: 5 of 69
  • Otorhinolaryngology 88
  • Immunology and Allergy 68
  • Management Information Systems 85
  • Information Systems and Management 47
  • Information Systems 148
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Tom McBride Australia
Erik Poppe Australia
Wendy Powley Canada
Hugues Bouchard United States
Simona Rabinovici‐Cohen Israel
Neha Sharma India
Boris Vrdoljak Croatia
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David Ostrowski United States
Sepideh Bazzaz Abkenar Iran
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Citations per year

Countries citing papers authored by Javier Fabra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Javier Fabra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Fabra Line = papers co-authored together Javier Fabra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199467
2 201732
3 199732
4 200127
5 199727
6 201121
7 201915
8 200313
9 200613
10 200612
11 201611
12 202011
13 20089
14
Using Cloud-based Resources to Improve Availability and Reliability in a Scientific Workflow Execution Framework
20138
15 20128
16 20116
17
A Framework for the Flexible Deployment of Scientific Workflows in Grid Environments
20126
18 20136
19 20136
20 20076

About Javier Fabra

Javier Fabra is a scholar working on Information Systems, Management Information Systems, Computer Networks and Communications, Artificial Intelligence and Information Systems and Management, having authored 42 papers that have together received 391 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (18 papers), Service-Oriented Architecture and Web Services (13 papers), Scientific Computing and Data Management (10 papers), Distributed and Parallel Computing Systems (9 papers), Cloud Computing and Resource Management (8 papers), Petri Nets in System Modeling (6 papers), Semantic Web and Ontologies (5 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Otorhinolaryngology (88 citations), Immunology and Allergy (68 citations), Management Information Systems (85 citations), Information Systems and Management (47 citations) and Information Systems (148 citations). Javier Fabra has collaborated with scholars based in Spain and Netherlands. Frequent co-authors include Pedro Álvarez, Antoni Xaubet, Jordi Roca‐Ferrer, Joaquim Mullol, Eduardo López, Laura Pujols, J. Ezpeleta, José Ángel Bañares, Marı́a Rozman and César Picado. Their work appears in journals such as IEEE Access, Clinical & Experimental Allergy, Software Practice and Experience, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Respiratory Medicine.

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.

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