David Alonso-Ríos

1.1k total citations · 1 hit paper
22 papers, 581 citations indexed

About

David Alonso-Ríos is a scholar working on Artificial Intelligence, Human-Computer Interaction and Information Systems. According to data from OpenAlex, David Alonso-Ríos has authored 22 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Human-Computer Interaction and 5 papers in Information Systems. Recurrent topics in David Alonso-Ríos's work include Usability and User Interface Design (12 papers), Machine Learning and Data Classification (7 papers) and Machine Learning and Algorithms (5 papers). David Alonso-Ríos is often cited by papers focused on Usability and User Interface Design (12 papers), Machine Learning and Data Classification (7 papers) and Machine Learning and Algorithms (5 papers). David Alonso-Ríos collaborates with scholars based in Spain, Austria and China. David Alonso-Ríos's co-authors include Eduardo Mosqueira-Rey, José Bobes-Bascarán, Elena Hernández-Pereira, Ángel Fernández-Leal, Vicente Moret‐Bonillo, Diego Álvarez-Estévez, Jürgen Falb, Roman Popp, Amparo Alonso‐Betanzos and Hermann Kaindl and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and Information and Software Technology.

In The Last Decade

David Alonso-Ríos

21 papers receiving 549 citations

Hit Papers

Human-in-the-loop machine learning: a state of the art 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human-in-the-loop machine learning: a state of the art
    2022 347 citations Eduardo Mosqueira-Rey, Elena Hernández-Pereira et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Alonso-Ríos Spain 9 201 93 83 60 52 22 581
Eduardo Mosqueira-Rey Spain 11 238 1.2× 116 1.2× 80 1.0× 61 1.0× 58 1.1× 31 669
Philipp Schmidt Germany 9 220 1.1× 98 1.1× 33 0.4× 29 0.5× 29 0.6× 14 520
Mladjan Jovanovic Serbia 10 168 0.8× 59 0.6× 27 0.3× 64 1.1× 44 0.8× 36 461
Joon Sung Park United States 4 326 1.6× 61 0.7× 38 0.5× 30 0.5× 65 1.3× 6 642
Emily Reif United States 10 456 2.3× 74 0.8× 38 0.5× 91 1.5× 110 2.1× 17 802
Hao He China 9 241 1.2× 77 0.8× 44 0.5× 101 1.7× 48 0.9× 40 667
Shivani Kapania United States 8 233 1.2× 77 0.8× 48 0.6× 61 1.0× 95 1.8× 14 610
Stefano Valtolina Italy 13 153 0.8× 64 0.7× 85 1.0× 18 0.3× 78 1.5× 50 570
Yixuan Zhang China 13 247 1.2× 91 1.0× 39 0.5× 32 0.5× 168 3.2× 62 703
Ali Athar South Korea 11 108 0.5× 132 1.4× 160 1.9× 37 0.6× 88 1.7× 23 523

Countries citing papers authored by David Alonso-Ríos

Since Specialization
Citations

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

Fields of papers citing papers by David Alonso-Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Alonso-Ríos. 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 David Alonso-Ríos. The network helps show where David Alonso-Ríos may publish in the future.

Co-authorship network of co-authors of David Alonso-Ríos

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

All Works

20 of 20 papers shown
1.
Bobes-Bascarán, José, et al.. (2023). Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment. 175–182. 2 indexed citations
2.
Mosqueira-Rey, Eduardo, Elena Hernández-Pereira, José Bobes-Bascarán, et al.. (2023). Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach. Neural Computing and Applications. 36(5). 2597–2616. 10 indexed citations
3.
Mosqueira-Rey, Eduardo, Elena Hernández-Pereira, David Alonso-Ríos, et al.. (2023). Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer. RUC (Universidade Da Coruña). 1–9. 8 indexed citations
4.
Bobes-Bascarán, José, et al.. (2023). Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients. 14. 70–66. 1 indexed citations
5.
Mosqueira-Rey, Eduardo, et al.. (2023). Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language. Procedia Computer Science. 225. 3086–3093. 2 indexed citations
6.
Mosqueira-Rey, Eduardo, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, & Ángel Fernández-Leal. (2022). Human-in-the-loop machine learning: a state of the art. Artificial Intelligence Review. 56(4). 3005–3054. 347 indexed citations breakdown →
7.
Mosqueira-Rey, Eduardo, Elena Hernández-Pereira, David Alonso-Ríos, & José Bobes-Bascarán. (2022). A classification and review of tools for developing and interacting with machine learning systems. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 1092–1101. 12 indexed citations
8.
Mosqueira-Rey, Eduardo, et al.. (2021). Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop. Procedia Computer Science. 192. 553–562. 13 indexed citations
9.
Bobes-Bascarán, José, Eduardo Mosqueira-Rey, & David Alonso-Ríos. (2021). Improving Medical Data Annotation Including Humans in the Machine Learning Loop. MDPI (MDPI AG). 39–39. 3 indexed citations
10.
Mosqueira-Rey, Eduardo & David Alonso-Ríos. (2020). Usability heuristics for domain-specific languages (DSLs). RUC (Universidade Da Coruña). 1340–1343. 3 indexed citations
11.
Alonso-Ríos, David, Eduardo Mosqueira-Rey, & Vicente Moret‐Bonillo. (2018). A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces. International Journal of Human-Computer Interaction. 34(12). 1169–1182. 20 indexed citations
12.
Mosqueira-Rey, Eduardo, David Alonso-Ríos, & Vicente Moret‐Bonillo. (2018). A heuristic evaluation of the user and programming interfaces of a sleep medicine application. 29. 648–655.
13.
Mosqueira-Rey, Eduardo, et al.. (2017). A systematic approach to API usability: Taxonomy-derived criteria and a case study. Information and Software Technology. 97. 46–63. 27 indexed citations
14.
Mosqueira-Rey, Eduardo, et al.. (2017). Usability evaluation and development of heuristics for second-screen applications. 569–571. 3 indexed citations
15.
Alonso-Ríos, David, et al.. (2014). A user study on tailoring GUIs for smartphones. 186–192. 4 indexed citations
16.
Alonso-Ríos, David, Eduardo Mosqueira-Rey, & Vicente Moret‐Bonillo. (2014). A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device. International Journal of Human-Computer Interaction. 30(7). 585–603. 4 indexed citations
17.
Popp, Roman, et al.. (2013). A User Study with GUIs Tailored for Smartphones and Tablet PCs. 3727–3732. 6 indexed citations
18.
Mosqueira-Rey, Eduardo, et al.. (2009). A Snort-based agent for a JADE multi-agent intrusion detection system. International Journal of Intelligent Information and Database Systems. 3(1). 107–107. 8 indexed citations
19.
Alonso-Ríos, David, et al.. (2009). Usability: A Critical Analysis and a Taxonomy. International Journal of Human-Computer Interaction. 26(1). 53–74. 85 indexed citations
20.
Mosqueira-Rey, Eduardo, David Alonso-Ríos, & Vicente Moret‐Bonillo. (2009). Usability taxonomy and context-of-use taxonomy for usability analysis. 812–817. 4 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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