Iria Santos

401 total citations
15 papers, 245 citations indexed

About

Iria Santos is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Iria Santos has authored 15 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Iria Santos's work include Aesthetic Perception and Analysis (7 papers), Visual Attention and Saliency Detection (4 papers) and Image and Video Quality Assessment (3 papers). Iria Santos is often cited by papers focused on Aesthetic Perception and Analysis (7 papers), Visual Attention and Saliency Detection (4 papers) and Image and Video Quality Assessment (3 papers). Iria Santos collaborates with scholars based in Spain, Portugal and United Kingdom. Iria Santos's co-authors include Adrián Carballal, Nereida Rodríguez-Fernández, Luz Castro, Juan Romero, Colin G. Johnson, Jon McCormack, Carlos Fernández-Lozano, Francisco Cedrón, Penousal Machado and Antonino Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automation in Construction and Neural Computing and Applications.

In The Last Decade

Iria Santos

13 papers receiving 233 citations

Peers

Iria Santos
Ludger Hovestadt Switzerland
Rob Saunders Australia
Seungyeon Choo South Korea
Tom Maver United Kingdom
Hijung Valentina Shin United States
Dirk Donath Germany
Iria Santos
Citations per year, relative to Iria Santos Iria Santos (= 1×) peers Luz Castro

Countries citing papers authored by Iria Santos

Since Specialization
Citations

This map shows the geographic impact of Iria Santos'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 Iria Santos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iria Santos more than expected).

Fields of papers citing papers by Iria Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iria Santos. 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 Iria Santos. The network helps show where Iria Santos may publish in the future.

Co-authorship network of co-authors of Iria Santos

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

All Works

15 of 15 papers shown
1.
Johnson, Colin G., et al.. (2024). Artificial Intelligence in Music, Sound, Art and Design. Lecture notes in computer science. 1 indexed citations
3.
Santos, Iria, et al.. (2023). Uncovering People Centred Design in the Context of Curriculum and Learning Design in Higher Education. 10(2). 81–92. 1 indexed citations
4.
Rodríguez-Fernández, Nereida, et al.. (2022). Validation of an Aesthetic Assessment System for Commercial Tasks. Entropy. 24(1). 103–103. 6 indexed citations
5.
Castro, Luz, et al.. (2022). State of the Art on Artificial Intelligence in Land Use Simulation. Complexity. 2022(1). 6 indexed citations
6.
Carballal, Adrián, Francisco Cedrón, Iria Santos, Antonino Santos, & Juan Romero. (2021). Minimal neural network topology optimization for aesthetic classification. Neural Computing and Applications. 33(1). 107–119. 4 indexed citations
7.
Castro, Luz, Adrián Carballal, Nereida Rodríguez-Fernández, Iria Santos, & Juan Romero. (2021). Artificial intelligence applied to conceptual design. A review of its use in architecture. Automation in Construction. 124. 103550–103550. 127 indexed citations
8.
Santos, Iria, et al.. (2021). Artificial Neural Networks and Deep Learning in the Visual Arts: a review. Neural Computing and Applications. 33(1). 121–157. 76 indexed citations
9.
Romero, Juan, Antonino Santos, Adrián Carballal, et al.. (2020). A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle. Entropy. 22(12). 1362–1362. 3 indexed citations
10.
Santos, Iria, et al.. (2020). Gamification in education: State of the art. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2(1). 1 indexed citations
11.
Carballal, Adrián, et al.. (2020). A point‐based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox. IET Image Processing. 14(12). 2948–2956. 1 indexed citations
12.
Carballal, Adrián, Carlos Fernández-Lozano, Nereida Rodríguez-Fernández, Iria Santos, & Juan Romero. (2020). Comparison of Outlier-Tolerant Models for Measuring Visual Complexity. Entropy. 22(4). 488–488. 7 indexed citations
13.
Rodríguez-Fernández, Nereida, et al.. (2020). Digital Image Quality Prediction System. SHILAP Revista de lepidopterología. 15–15. 1 indexed citations
14.
Rodríguez-Fernández, Nereida, et al.. (2019). Dataset for the Aesthetic Value Automatic Prediction. SHILAP Revista de lepidopterología. 31–31. 2 indexed citations
15.
Johnson, Colin G., Jon McCormack, Iria Santos, & Juan Romero. (2019). Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems. Complexity. 2019(1). 9 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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2026