Eva Millán
Impact in
- Computer Science Applications top 0.2%
- Online Learning and Analytics
- Open Education and E-Learning
-
- Innovative Teaching and Learning Methods
- Learning Styles and Cognitive Differences
Papers in
-
- Online Learning and Analytics 17
-
- Intelligent Tutoring Systems and Adaptive Learning 26
- AI-based Problem Solving and Planning 6
- Bayesian Modeling and Causal Inference 4
- Co-authors
- Peter L. Brusilovsky (3 shared papers)José-Luís Pérez-de-la-Cruz (20 shared papers)Ricardo Conejo (10 shared papers)Mónica Trella (7 shared papers)Gladys Castillo (5 shared papers)Mutlu Cukurova (5 shared papers)Rosemary Luckin (5 shared papers)Cristina Carmona-Duarte (5 shared papers)
- Journals
- Computers & Education (3 papers)Lecture notes in computer science (16 papers)Journal of Building Engineering (1 paper)IEEE Transactions on Learning Technologies (1 paper)Design Studies (1 paper)
- Partner nations
- SpainUnited KingdomPortugal
In The Last Decade
Eva Millán
41 papers receiving 1.4k citations
Eva Millán's Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Science Applications 779
- Developmental and Educational Psychology 547
- Artificial Intelligence 869
- Information Systems 430
- Human-Computer Interaction 47
Countries citing papers authored by Eva Millán
This map shows the geographic impact of Eva Millán'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 Eva Millán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Millán more than expected).
Fields of papers citing papers by Eva Millán
This network shows the impact of papers produced by Eva Millán. 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 Eva Millán. The network helps show where Eva Millán may publish in the future.
Co-authors
The 17 scholars most cited alongside Eva Millán, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | User Models for Adaptive Hypermedia and Adaptive Educational Systems Hit paper breakdown → | 2007 | 687 |
| 2 | 2004 | 142 | |
| 3 | 2010 | 99 | |
| 4 | 2017 | 99 | |
| 5 | 2002 | 82 | |
| 6 | 2008 | 52 | |
| 7 | 2012 | 47 | |
| 8 | Discovering Student Preferences in E-Learning | 2007 | 35 |
| 9 | 2005 | 29 | |
| 10 | 2020 | 22 | |
| 11 | 2000 | 20 | |
| 12 | 2014 | 20 | |
| 13 | 2001 | 18 | |
| 14 | 2009 | 17 | |
| 15 | 2000 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2001 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2022 | 13 |
About Eva Millán
Eva Millán is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Architecture, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (26 papers), Online Learning and Analytics (17 papers), Educational Technology and Assessment (10 papers), AI-based Problem Solving and Planning (6 papers), Design Education and Practice (5 papers), Architecture and Computational Design (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Innovative Teaching and Learning Methods (4 papers). The work is most often cited by research in Computer Science Applications (779 citations), Developmental and Educational Psychology (547 citations), Artificial Intelligence (869 citations), Information Systems (430 citations) and Human-Computer Interaction (47 citations). Eva Millán has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include Peter L. Brusilovsky, José-Luís Pérez-de-la-Cruz, Ricardo Conejo, Mónica Trella, Gladys Castillo, Mutlu Cukurova, Rosemary Luckin, Cristina Carmona-Duarte, Eduardo Guzmán and Manolis Mavrikis. Their work appears in journals such as Computers & Education, Lecture notes in computer science, Journal of Building Engineering, IEEE Transactions on Learning Technologies and Design Studies.
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.