Llanos Tobarra
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Media Technology top 2%
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Co-authors
- Antonio Robles-GómezSalvador RosAgustín C. CamineroRoberto HernándezRafael VargasAlessandro ArmandoRoberto CarboneJorge Cuéllar
- Topics
- Experimental Learning in Engineering (30 papers)Online Learning and Analytics (17 papers)IoT and Edge/Fog Computing (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- SpainJordanCosta Rica
In The Last Decade
Llanos Tobarra
65 papers receiving 655 citations
Peers
Comparison fields: 5 of 70
- Information Systems 292
- Computer Networks and Communications 243
- Media Technology 203
- Computer Science Applications 164
- Artificial Intelligence 129
Countries citing papers authored by Llanos Tobarra
This map shows the geographic impact of Llanos Tobarra'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 Llanos Tobarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Llanos Tobarra more than expected).
Fields of papers citing papers by Llanos Tobarra
This network shows the impact of papers produced by Llanos Tobarra. 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 Llanos Tobarra. The network helps show where Llanos Tobarra may publish in the future.
Co-authorship network of co-authors of Llanos Tobarra
This figure shows the co-authorship network connecting the top 25 collaborators of Llanos Tobarra. A scholar is included among the top collaborators of Llanos Tobarra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Llanos Tobarra. Llanos Tobarra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 26 | |
| 7 | 10 | |
| 8 | Investigación e Innovación en el grupo G-eLios de la UNED | 1 |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | User Acceptance of a Proposed Self-Evaluation and Continuous Assessment System | 8 |
| 15 | 7 | |
| 16 | Laboratories as a Service (LaaS): Using Cloud Technologies in the Field of Education | 5 |
| 17 | 9 | |
| 18 | Discovery of interest topics in web-based educational communities | 2 |
| 19 | 2 | |
| 20 | 18 |
About Llanos Tobarra
Llanos Tobarra is a scholar working on Computer Science Applications, Media Technology and Architecture, having authored 70 papers that have together received 716 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (30 papers), Online Learning and Analytics (17 papers) and IoT and Edge/Fog Computing (11 papers). The work is most often cited by research in Computer Science Applications (164 citations), Media Technology (203 citations) and Information Systems (292 citations). Llanos Tobarra has collaborated with scholars based in Spain, Jordan and Costa Rica. Frequent co-authors include Antonio Robles-Gómez, Salvador Ros, Agustín C. Caminero, Roberto Hernández, Rafael Vargas, Roberto Hernández, Alessandro Armando, Roberto Carbone, Jorge Cuéllar and Luca Compagna. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.
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.