Eva Millán

2.0k total citations
24 papers, 576 citations indexed

About

Eva Millán is a scholar working on Artificial Intelligence, Computer Science Applications and Mechanical Engineering. According to data from OpenAlex, Eva Millán has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Science Applications and 5 papers in Mechanical Engineering. Recurrent topics in Eva Millán's work include Intelligent Tutoring Systems and Adaptive Learning (12 papers), Online Learning and Analytics (7 papers) and Design Education and Practice (5 papers). Eva Millán is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (12 papers), Online Learning and Analytics (7 papers) and Design Education and Practice (5 papers). Eva Millán collaborates with scholars based in Spain, United Kingdom and United States. Eva Millán's co-authors include José-Luís Pérez-de-la-Cruz, Gladys Castillo, Rose Luckin, Mutlu Cukurova, Cristina Carmona-Duarte, Mónica Trella, Ricardo Conejo, Eduardo Guzmán, Manolis Mavrikis and Kasia Müldner and has published in prestigious journals such as Computers & Education, Building and Environment and British Journal of Educational Technology.

In The Last Decade

Eva Millán

23 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva Millán Spain	13	316	281	186	132	85	24	576
Noboru Matsuda United States	13	307 1.0×	217 0.8×	139 0.7×	65 0.5×	92 1.1×	45	483
Ariel Monteserin Argentina	9	141 0.4×	109 0.4×	122 0.7×	76 0.6×	45 0.5×	20	411
Samir Bennani Morocco	12	144 0.5×	213 0.8×	95 0.5×	149 1.1×	143 1.7×	99	514
Katerina Mangaroska Norway	13	152 0.5×	396 1.4×	169 0.9×	128 1.0×	207 2.4×	26	615
Carmen Lacave Spain	11	217 0.7×	107 0.4×	57 0.3×	85 0.6×	47 0.6×	38	473
Jun‐Ming Su Taiwan	11	110 0.3×	169 0.6×	74 0.4×	197 1.5×	44 0.5×	49	397
Liz Bacon United Kingdom	12	81 0.3×	325 1.2×	282 1.5×	93 0.7×	84 1.0×	64	640
Myroslava O. Dzikovska United Kingdom	14	802 2.5×	63 0.2×	69 0.4×	112 0.8×	47 0.6×	43	942
Fiaz Majeed Pakistan	9	78 0.2×	103 0.4×	122 0.7×	60 0.5×	60 0.7×	29	416
Pilar Rodrı́guez Spain	16	317 1.0×	256 0.9×	234 1.3×	205 1.6×	124 1.5×	65	703

Countries citing papers authored by Eva Millán

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva Millán

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Millán. A scholar is included among the top collaborators of Eva Millán 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 Eva Millán. Eva Millán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cukurova, Mutlu, et al.. (2022). A Learning Analytics Approach to Monitoring the Quality of Online One-to-One Tutoring. Journal of Learning Analytics. 9(2). 105–120. 12 indexed citations

Millán, Eva, et al.. (2022). Using machine learning techniques for architectural design tracking: An experimental study of the design of a shelter. Journal of Building Engineering. 51. 104223–104223. 5 indexed citations

Bittencourt, Ig Ibert, et al.. (2020). Artificial Intelligence in Education. Lecture notes in computer science. 14 indexed citations

Isotani, Seiji, Eva Millán, Amy Ogan, et al.. (2019). Artificial Intelligence in Education. Lecture notes in computer science. 8 indexed citations

Millán, Eva, et al.. (2016). BH-ShaDe: A Software Tool that Assists Architecture Students in the Ill-Structured Task of Housing Design. IEEE Transactions on Learning Technologies. 9(3). 244–257. 3 indexed citations

Millán, Eva, et al.. (2014). An intelligent tool to assist architecture students in the early stages of design. International Conference on Computers in Education. 2 indexed citations

Mandow, Lawrence, et al.. (2014). Layered shape grammars. Computer-Aided Design. 56. 104–119. 14 indexed citations

Millán, Eva, et al.. (2014). Randomness and control in design processes: An empirical study with architecture students. Design Studies. 35(4). 392–411. 8 indexed citations

Millán, Eva, et al.. (2012). Using Bayesian networks to improve knowledge assessment. Computers & Education. 60(1). 436–447. 35 indexed citations

10.

Millán, Eva, et al.. (2010). Bayesian networks for student model engineering. Computers & Education. 55(4). 1663–1683. 79 indexed citations

11.

Carmona-Duarte, Cristina, Gladys Castillo, & Eva Millán. (2008). Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles. 346–350. 41 indexed citations

12.

Carmona-Duarte, Cristina & Eva Millán. (2006). Implications of a Formative Evaluation for Improving the Educational Effectiveness of an Educational Game for Spanish Orthography. 1. 596–600. 3 indexed citations

13.

Millán, Eva, et al.. (2005). Introducing Prerequisite Relations in a Multi-layered Bayesian Student Model. Lecture notes in computer science. 347–356. 10 indexed citations

14.

Conejo, Ricardo, Eduardo Guzmán, José-Luís Pérez-de-la-Cruz, & Eva Millán. (2005). Introducing adaptive assistance in adaptive testing. 777–779. 1 indexed citations

15.

Conejo, Ricardo, et al.. (2004). SIETTE: A Web-Based Tool for Adaptive Testing. International Journal of Artificial Intelligence in Education. 14(1). 29–61.

16.

Conejo, Ricardo, et al.. (2004). SIETTE: A Web-Based Tool for Adaptive Testing. 14(1). 29–61. 116 indexed citations

17.

Brusilovsky, Peter, Nicola Henze, & Eva Millán. (2002). Adaptive Systems for Web-based Education. 2 indexed citations

18.

Millán, Eva & José-Luís Pérez-de-la-Cruz. (2002). A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation. User Modeling and User-Adapted Interaction. 12(2-3). 281–330. 62 indexed citations

19.

Conejo, Ricardo, et al.. (2001). Modelado del alumno: un enfoque bayesiano.. INTELIGENCIA ARTIFICIAL. 5(12). 11 indexed citations

20.

Millán, Eva, et al.. (2001). Bayesian student modeling and the problem of parameter specification. British Journal of Educational Technology. 32(2). 171–181. 13 indexed citations

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.

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