Daniel Galán
Impact in
- Media Technology top 1%
- Experimental Learning in Engineering
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- E-Learning and Knowledge Management
- Online Learning and Analytics
Papers in
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- Experimental Learning in Engineering 13
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- Teaching and Learning Programming 2
- Co-authors
- Rubén HeradioLuís de la TorreS. DormidoEnrique Herrera‐ViedmaFrancisco Javier CabrerizoHéctor VargasJesús ChacónDictino Chaos
In The Last Decade
Daniel Galán
18 papers receiving 531 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Media Technology 305
- Computer Science Applications 104
- Architecture 29
- Human-Computer Interaction 31
- Education 129
Countries citing papers authored by Daniel Galán
This map shows the geographic impact of Daniel Galán'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 Daniel Galán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Galán more than expected).
Fields of papers citing papers by Daniel Galán
This network shows the impact of papers produced by Daniel Galán. 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 Daniel Galán. The network helps show where Daniel Galán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Galán, 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 | 2023 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 0 | |
| 4 | BepiColombo Quick-Look Analysis (QLA) System | 2019 | 1 |
| 5 | 2019 | 3 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 24 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 38 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 6 | |
| 15 | Virtual and remote labs in education: A bibliometric analysis Hit paper breakdown → | 2016 | 360 |
| 16 | 2016 | 8 | |
| 17 | 2016 | 4 | |
| 18 | Geomatics applied to dam safety DGPS real time monitoring | 2013 | 13 |
| 19 | 2011 | 4 | |
| 20 | Learning Odors for Social Robots: The URBANO experience | 2011 | 0 |
About Daniel Galán
Daniel Galán is a scholar working on Media Technology, Computer Science Applications, Hardware and Architecture, Software and Sensory Systems, having authored 21 papers that have together received 558 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (13 papers), Electrowetting and Microfluidic Technologies (5 papers), Teaching and Learning Programming (2 papers), Sensor Technology and Measurement Systems (2 papers), Cloud Computing and Remote Desktop Technologies (2 papers), Industrial Automation and Control Systems (2 papers), Advanced MEMS and NEMS Technologies (2 papers) and Experimental and Theoretical Physics Studies (2 papers). The work is most often cited by research in Media Technology (305 citations), Computer Science Applications (104 citations), Architecture (29 citations), Human-Computer Interaction (31 citations) and Education (129 citations). Daniel Galán has collaborated with scholars based in Spain, Chile and Sweden. Frequent co-authors include Rubén Heradio, Luís de la Torre, S. Dormido, Enrique Herrera‐Viedma, Francisco Javier Cabrerizo, Héctor Vargas, Jesús Chacón, Dictino Chaos, Ernesto Aranda‐Escolástico and Francisco Esquembre. Their work appears in journals such as IEEE Access, Applied Sciences, Computers & Education, Informes de la Construcción and IEEE Control 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.