Rubén Béjar
Impact in
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- Geographic Information Systems Studies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Geographic Information Systems Studies 16
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- Service-Oriented Architecture and Web Services 8
- Web Data Mining and Analysis 3
- Co-authors
- F. Javier Zarazaga‐Soria (28 shared papers)Javier Nogueras-Iso (17 shared papers)Pedro R. Muro‐Medrano (15 shared papers)Javier Lacasta (7 shared papers)Francisco J. López-Pellicer (13 shared papers)Pedro Álvarez (2 shared papers)Aitziber Egusquiza (1 shared paper)Aneta J. Florczyk (4 shared papers)
In The Last Decade
Rubén Béjar
33 papers receiving 304 citations
Peers
Comparison fields: 5 of 65
- Geography, Planning and Development 172
- Signal Processing 117
- Geology 33
- Information Systems 98
- Information Systems and Management 26
Countries citing papers authored by Rubén Béjar
This map shows the geographic impact of Rubén Béjar'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 Rubén Béjar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén Béjar more than expected).
Fields of papers citing papers by Rubén Béjar
This network shows the impact of papers produced by Rubén Béjar. 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 Rubén Béjar. The network helps show where Rubén Béjar may publish in the future.
Co-authors
The 15 scholars most cited alongside Rubén Béjar, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 46 | |
| 2 | 2007 | 42 | |
| 3 | 2004 | 42 | |
| 4 | 2018 | 34 | |
| 5 | 2013 | 16 | |
| 6 | 2008 | 16 | |
| 7 | 2011 | 16 | |
| 8 | 2011 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2009 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2011 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2006 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2011 | 6 | |
| 20 | Water quality monitoring based on sediment distribution using satellite imagery | 2006 | 5 |
About Rubén Béjar
Rubén Béjar is a scholar working on Geography, Planning and Development, Information Systems, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 37 papers that have together received 340 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (16 papers), Data Management and Algorithms (11 papers), Service-Oriented Architecture and Web Services (8 papers), Advanced Database Systems and Queries (4 papers), Semantic Web and Ontologies (4 papers), 3D Modeling in Geospatial Applications (4 papers), Web Data Mining and Analysis (3 papers) and Mobile Agent-Based Network Management (3 papers). The work is most often cited by research in Geography, Planning and Development (172 citations), Signal Processing (117 citations), Geology (33 citations), Information Systems (98 citations) and Information Systems and Management (26 citations). Rubén Béjar has collaborated with scholars based in Spain and Canada. Frequent co-authors include F. Javier Zarazaga‐Soria, Javier Nogueras-Iso, Pedro R. Muro‐Medrano, Javier Lacasta, Francisco J. López-Pellicer, Pedro Álvarez, Aitziber Egusquiza, Aneta J. Florczyk, Sergio Mart́ınez and Rafael Tolosana‐Calasanz. Their work appears in journals such as Computers & Geosciences, International Journal of Digital Earth, Environmental Modelling & Software, Data & Knowledge Engineering and Computer Standards & Interfaces.
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.