Juan M. Vara
- Software top 2%
- Model-Driven Software Engineering Techniques 18
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- Business Process Modeling and Analysis 9
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 24
- Web Applications and Data Management 9
- Software Engineering Techniques and Practices 6
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 12
- Semantic Web and Ontologies 3
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- Advanced Database Systems and Queries 5
Juan M. Vara
36 papers receiving 321 citations
Peers
Comparison fields: 5 of 44
- Software 180
- Management Information Systems 122
- Information Systems 282
- Artificial Intelligence 144
- Computer Networks and Communications 49
Countries citing papers authored by Juan M. Vara
This map shows the geographic impact of Juan M. Vara'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 Juan M. Vara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Vara more than expected).
Fields of papers citing papers by Juan M. Vara
This network shows the impact of papers produced by Juan M. Vara. 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 Juan M. Vara. The network helps show where Juan M. Vara may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Juan M. Vara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 2 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 20 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 19 | |
| 12 | 2013 | 2 | |
| 13 | Teaching Emotional Intelligence to Computer Science students | 2012 | 0 |
| 14 | 2012 | 1 | |
| 15 | 2012 | 3 | |
| 16 | Una Aproximación Dirigida por Modelos para el Desarrollo de Esquemas XML. | 2008 | 0 |
| 17 | Model Transformation for Service-Oriented Web Applications Development. | 2007 | 7 |
| 18 | 2007 | 17 | |
| 19 | Transformaciones de modelos para el desarrollo de bases de datos objeto-relacionales. | 2006 | 0 |
| 20 | 2001 | 1 |
About Juan M. Vara
Juan M. Vara is a scholar working on Software, Information Systems, Management Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 44 papers that have together received 351 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (24 papers), Model-Driven Software Engineering Techniques (18 papers), Advanced Software Engineering Methodologies (12 papers), Web Applications and Data Management (9 papers), Business Process Modeling and Analysis (9 papers), Software Engineering Techniques and Practices (6 papers), Advanced Database Systems and Queries (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Software (180 citations), Management Information Systems (122 citations), Information Systems (282 citations), Artificial Intelligence (144 citations) and Computer Networks and Communications (49 citations). Juan M. Vara has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Esperanza Marcos, Valeria de Castro, Kelly Garcés, Frédéric Jouault, Belén Vela, Marco Brambilla, María Luz Martín Peña, Marcos Didonet Del Fabro, Mercedes G. Merayo and Carlos E. Cuesta. Their work appears in journals such as Information and Software Technology, Software & Systems Modeling, IEEE Software, Journal of the Association for Information Systems and Science of Computer Programming.
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.