Arturo Moncada‐Torres

764 total citations · 1 hit paper
15 papers, 440 citations indexed

About

Arturo Moncada‐Torres is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Sensory Systems. According to data from OpenAlex, Arturo Moncada‐Torres has authored 15 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 3 papers in Sensory Systems. Recurrent topics in Arturo Moncada‐Torres's work include Hearing Loss and Rehabilitation (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Arturo Moncada‐Torres is often cited by papers focused on Hearing Loss and Rehabilitation (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Arturo Moncada‐Torres collaborates with scholars based in Netherlands, Belgium and Switzerland. Arturo Moncada‐Torres's co-authors include Gijs Geleijnse, Mathijs P. Hendriks, Marissa C. van Maaren, Sabine Siesling, Roger Gassert, Andreas R. Luft, Roman Gonzenbach, Frank Martin, Jan Wouters and Pol Ghesquière and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and The Oncologist.

In The Last Decade

Arturo Moncada‐Torres

15 papers receiving 429 citations

Hit Papers

Explainable machine learning can outperform Cox regressio... 2021 2026 2022 2024 2021 50 100 150 200
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. Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
    2021 204 citations Arturo Moncada‐Torres, Marissa C. van Maaren et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arturo Moncada‐Torres Netherlands 9 156 92 69 54 45 15 440
Girmaw Abebe Tadesse United States 9 166 1.1× 55 0.6× 51 0.7× 57 1.1× 46 1.0× 38 564
Rayan Krishnan United States 3 157 1.0× 123 1.3× 64 0.9× 43 0.8× 29 0.6× 3 385
Soheila Saeedi Iran 12 176 1.1× 125 1.4× 210 3.0× 56 1.0× 24 0.5× 37 616
J. Weston Hughes United States 12 70 0.4× 70 0.8× 38 0.6× 70 1.3× 44 1.0× 21 486
Carl Sabottke United States 9 87 0.6× 146 1.6× 41 0.6× 51 0.9× 18 0.4× 18 531
Janani Venugopalan United States 11 309 2.0× 114 1.2× 74 1.1× 51 0.9× 54 1.2× 22 790
Sorayya Rezayi Iran 12 180 1.2× 132 1.4× 216 3.1× 68 1.3× 41 0.9× 45 659
Saeed Seyyedi Germany 5 205 1.3× 226 2.5× 45 0.7× 73 1.4× 35 0.8× 12 503
Yair Hanani Israel 5 131 0.8× 52 0.6× 81 1.2× 29 0.5× 31 0.7× 7 514
Kim Eun Hee Germany 5 180 1.2× 201 2.2× 82 1.2× 77 1.4× 13 0.3× 25 496

Countries citing papers authored by Arturo Moncada‐Torres

Since Specialization
Citations

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

Fields of papers citing papers by Arturo Moncada‐Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arturo Moncada‐Torres. 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 Arturo Moncada‐Torres. The network helps show where Arturo Moncada‐Torres may publish in the future.

Co-authorship network of co-authors of Arturo Moncada‐Torres

This figure shows the co-authorship network connecting the top 25 collaborators of Arturo Moncada‐Torres. A scholar is included among the top collaborators of Arturo Moncada‐Torres 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 Arturo Moncada‐Torres. Arturo Moncada‐Torres 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.
Kroon, Cor D. de, Channa E. Schmeink, Olga L. van der Hel, et al.. (2023). A novel method for continuous measurements of clinical practice guideline adherence. Learning Health Systems. 7(4). e10384–e10384. 2 indexed citations
2.
Aben, Katja K.H., et al.. (2022). Using Explainable Machine Learning to Explore the Impact of Synoptic Reporting on Prostate Cancer. Algorithms. 15(2). 49–49. 8 indexed citations
3.
Cellamare, Matteo, et al.. (2022). A Federated Generalized Linear Model for Privacy-Preserving Analysis. Algorithms. 15(7). 243–243. 13 indexed citations
4.
Beusekom, Bart van, et al.. (2022). An Improved Infrastructure for Privacy-Preserving Analysis of Patient Data. Studies in health technology and informatics. 295. 144–147. 5 indexed citations
5.
Moncada‐Torres, Arturo, Marissa C. van Maaren, Mathijs P. Hendriks, Sabine Siesling, & Gijs Geleijnse. (2021). Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival. Scientific Reports. 11(1). 6968–6968. 204 indexed citations breakdown →
6.
Geleijnse, Gijs, et al.. (2020). Machine Learning Explainability in Breast Cancer Survival. Studies in health technology and informatics. 270. 307–311. 29 indexed citations
7.
Moncada‐Torres, Arturo, Gijs Geleijnse, Floortje Mols, et al.. (2020). Heterogeneity in Quality of Life of Long-Term Colon Cancer Survivors: A Latent Class Analysis of the Population-Based PROFILES Registry. The Oncologist. 26(3). e492–e499. 10 indexed citations
8.
Moncada‐Torres, Arturo, et al.. (2020). VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange.. PubMed. 2020. 870–877. 32 indexed citations
9.
Moncada‐Torres, Arturo, et al.. (2019). Speech Envelope Enhancement Instantaneously Effaces Atypical Speech Perception in Dyslexia. Ear and Hearing. 40(5). 1242–1252. 23 indexed citations
10.
Moncada‐Torres, Arturo, et al.. (2018). The effect of presentation level on spectrotemporal modulation detection. Hearing Research. 371. 11–18. 3 indexed citations
11.
Moncada‐Torres, Arturo, et al.. (2018). A framework for computational modelling of interaural time difference discrimination of normal and hearing-impaired listeners. The Journal of the Acoustical Society of America. 144(2). 940–954. 1 indexed citations
12.
Moncada‐Torres, Arturo, et al.. (2017). Functional modelling of interaural time difference discrimination in acoustical and electrical hearing. Journal of Neural Engineering. 14(4). 46021–46021. 4 indexed citations
13.
Moncada‐Torres, Arturo, Astrid Van Wieringen, Ian C. Bruce, Jan Wouters, & Tom Francart. (2017). Predicting phoneme and word recognition in noise using a computational model of the auditory periphery. The Journal of the Acoustical Society of America. 141(1). 300–312. 5 indexed citations
14.
Kim, Yeongmi, et al.. (2016). Quantification of long cane usage characteristics with the constant contact technique. Applied Ergonomics. 55. 216–225. 10 indexed citations
15.
Moncada‐Torres, Arturo, et al.. (2014). Activity classification based on inertial and barometric pressure sensors at different anatomical locations. Physiological Measurement. 35(7). 1245–1263. 91 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Girmaw Abebe Tadesse Breakdown of academic impact, for papers by Rayan Krishnan Breakdown of academic impact, for papers by Soheila Saeedi Breakdown of academic impact, for papers by J. Weston Hughes Breakdown of academic impact, for papers by Carl Sabottke Breakdown of academic impact, for papers by Janani Venugopalan Breakdown of academic impact, for papers by Sorayya Rezayi Breakdown of academic impact, for papers by Saeed Seyyedi Breakdown of academic impact, for papers by Yair Hanani Breakdown of academic impact, for papers by Kim Eun Hee
Rankless by CCL
2026