Javier Bravo
Impact in
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- Online Learning and Analytics
- E-Learning and Knowledge Management
- Information Systems top 5%
- Digital literacy in education
- Educational Innovations and Technology
- Educational Technology and Assessment
Papers in
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- Online Learning and Analytics 12
- E-Learning and Knowledge Management 7
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- Educational Innovations and Technology 6
- Data Mining Algorithms and Applications 4
- Co-authors
- Francisco D. Guillén‐Gámez (6 shared papers)Álvaro Ortigosa (10 shared papers)Sonia Janeth Romero Martínez (3 shared papers)David Lizcano (1 shared paper)Rosa M. Carro (3 shared papers)Iván García‐Magariño (4 shared papers)Jaime Lloret (1 shared paper)Raquel Lacuesta (2 shared papers)
In The Last Decade
Javier Bravo
28 papers receiving 441 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 247
- Information Systems 241
- Education 157
- Health Information Management 20
- Artificial Intelligence 101
Countries citing papers authored by Javier Bravo
This map shows the geographic impact of Javier Bravo'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 Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Bravo more than expected).
Fields of papers citing papers by Javier Bravo
This network shows the impact of papers produced by Javier Bravo. 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 Bravo. The network helps show where Javier Bravo may publish in the future.
Co-authors
The 23 scholars most cited alongside Javier Bravo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | Recommendation in Higher Education Using Data Mining Techniques. | 2009 | 85 |
| 3 | 2020 | 65 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 28 | |
| 6 | 2005 | 21 | |
| 7 | Detecting Symptoms of Low Performance Using Production Rules. | 2009 | 15 |
| 8 | 2017 | 14 | |
| 9 | 2018 | 13 | |
| 10 | Improving AEH Courses through Log Analysis. | 2008 | 10 |
| 11 | 2017 | 10 | |
| 12 | 2017 | 7 | |
| 13 | 2016 | 5 | |
| 14 | Exploring the influence of facial verification software on student academic performance in online learning environments | 2015 | 4 |
| 15 | A Problem-Oriented Method for Supporting AEH Authors through Data Mining | 2007 | 4 |
| 16 | 2017 | 4 | |
| 17 | A Methodology for Elaborating Activities for Higher Education in 3D Virtual Worlds | 2015 | 3 |
| 18 | Students' perception of the importance of facial authentication software in Moodle tools | 2017 | 2 |
| 19 | 2023 | 2 | |
| 20 | Using Decision Trees for Discovering Problems on Adaptive Courses | 2008 | 2 |
About Javier Bravo
Javier Bravo is a scholar working on Computer Science Applications, Information Systems, Education, Artificial Intelligence and Developmental and Educational Psychology, having authored 32 papers that have together received 470 indexed citations. Recurring topics across this work include Online Learning and Analytics (12 papers), E-Learning and Knowledge Management (7 papers), Educational Innovations and Technology (6 papers), Data Mining Algorithms and Applications (4 papers), Online and Blended Learning (3 papers), Innovative Teaching Methods (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Computer Science Applications (247 citations), Information Systems (241 citations), Education (157 citations), Health Information Management (20 citations) and Artificial Intelligence (101 citations). Javier Bravo has collaborated with scholars based in Spain, Peru and Chile. Frequent co-authors include Francisco D. Guillén‐Gámez, Álvaro Ortigosa, Sonia Janeth Romero Martínez, David Lizcano, Rosa M. Carro, Iván García‐Magariño, Jaime Lloret, Raquel Lacuesta, J.L. Díaz-Pérez and Julián Conejo‐Mir. Their work appears in journals such as International journal of engineering education, Technology Knowledge and Learning, IEEE Communications Magazine, Online Learning and IEEE Transactions on Learning Technologies.
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.