Eduardo Mosqueira-Rey
- Artificial Intelligence top 5%
- Information Systems top 5%
- Human-Computer Interaction top 5%
- Health Informatics top 2%
- Computer Vision and Pattern Recognition
- Co-authors
- David Alonso-RíosÁngel Fernández-LealJosé Bobes-BascaránElena Hernández-PereiraVicente Moret‐BonilloAmparo Alonso‐BetanzosDiego Álvarez-EstévezCarlos Fernández-Lozano
- Topics
- Usability and User Interface Design (11 papers)Machine Learning and Data Classification (7 papers)Machine Learning and Algorithms (5 papers)
- Partner nations
- SpainChinaNetherlands
In The Last Decade
Eduardo Mosqueira-Rey
30 papers receiving 629 citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 238
- Information Systems 116
- Human-Computer Interaction 80
- Health Informatics 61
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Eduardo Mosqueira-Rey
This map shows the geographic impact of Eduardo Mosqueira-Rey'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 Eduardo Mosqueira-Rey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Mosqueira-Rey more than expected).
Fields of papers citing papers by Eduardo Mosqueira-Rey
This network shows the impact of papers produced by Eduardo Mosqueira-Rey. 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 Eduardo Mosqueira-Rey. The network helps show where Eduardo Mosqueira-Rey may publish in the future.
Co-authorship network of co-authors of Eduardo Mosqueira-Rey
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Mosqueira-Rey. A scholar is included among the top collaborators of Eduardo Mosqueira-Rey 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 Eduardo Mosqueira-Rey. Eduardo Mosqueira-Rey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Human-in-the-loop machine learning: a state of the artbreakdown → | 347 |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 20 | |
| 10 | 27 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 85 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | Validación de sistemas inteligentes | 1 |
| 19 | 7 | |
| 20 | 14 |
About Eduardo Mosqueira-Rey
Eduardo Mosqueira-Rey is a scholar working on Human-Computer Interaction, Software and Health Informatics, having authored 31 papers that have together received 669 indexed citations. Recurring topics across this work include Usability and User Interface Design (11 papers), Machine Learning and Data Classification (7 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Health Informatics (61 citations), Human-Computer Interaction (80 citations) and Artificial Intelligence (238 citations). Eduardo Mosqueira-Rey has collaborated with scholars based in Spain, China and Netherlands. Frequent co-authors include David Alonso-Ríos, Ángel Fernández-Leal, José Bobes-Bascarán, Elena Hernández-Pereira, Vicente Moret‐Bonillo, Amparo Alonso‐Betanzos, Diego Álvarez-Estévez, Carlos Fernández-Lozano, Esteban Vázquez Cano and Eloy López Menéses. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems and Neural Computing and Applications.
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.