Iván Olier

2.3k total citations
77 papers, 1.4k citations indexed

About

Iván Olier is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Iván Olier has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 19 papers in Artificial Intelligence and 15 papers in Epidemiology. Recurrent topics in Iván Olier's work include Atrial Fibrillation Management and Outcomes (9 papers), Machine Learning in Healthcare (7 papers) and Advanced MRI Techniques and Applications (7 papers). Iván Olier is often cited by papers focused on Atrial Fibrillation Management and Outcomes (9 papers), Machine Learning in Healthcare (7 papers) and Advanced MRI Techniques and Applications (7 papers). Iván Olier collaborates with scholars based in United Kingdom, Spain and Denmark. Iván Olier's co-authors include Sandra Ortega‐Martorell, Evangelos Kontopantelis, David Reeves, Darren M. Ashcroft, Alfredo Vellido, Salah L. Zubaidi, Hussein Al-Bugharbee, Patryk Kot, Khalid Hashim and Sadik Kamel Gharghan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Iván Olier

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Olier United Kingdom 19 308 202 163 151 137 77 1.4k
Jaime L. Speiser United States 15 89 0.3× 148 0.7× 225 1.4× 190 1.3× 112 0.8× 25 1.7k
Roland Linder Germany 24 396 1.3× 269 1.3× 107 0.7× 130 0.9× 53 0.4× 119 2.0k
Mengying Wang China 27 174 0.6× 252 1.2× 54 0.3× 251 1.7× 67 0.5× 176 2.7k
Mevlut Türe Türkiye 25 172 0.6× 202 1.0× 246 1.5× 181 1.2× 130 0.9× 100 2.0k
Haiying Liu China 18 506 1.6× 86 0.4× 37 0.2× 84 0.6× 152 1.1× 87 1.6k
Rui Fu China 23 859 2.8× 131 0.6× 201 1.2× 141 0.9× 142 1.0× 147 3.6k
Xi Tan United States 21 145 0.5× 162 0.8× 65 0.4× 121 0.8× 21 0.2× 110 1.5k
Alysha De Livera Australia 22 92 0.3× 158 0.8× 116 0.7× 394 2.6× 32 0.2× 70 2.2k
D. Coomans Belgium 33 100 0.3× 62 0.3× 393 2.4× 597 4.0× 95 0.7× 128 3.4k

Countries citing papers authored by Iván Olier

Since Specialization
Citations

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

Fields of papers citing papers by Iván Olier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Olier

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Olier. A scholar is included among the top collaborators of Iván Olier 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 Iván Olier. Iván Olier 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.
Nalepa, Jakub, Agata M. Wijata, J.R. Mahon, et al.. (2025). Artificial intelligence and digital twins for the personalised prediction of hypertension risk. Computers in Biology and Medicine. 196(Pt A). 110718–110718. 3 indexed citations
2.
Ortega‐Martorell, Sandra, et al.. (2025). Graph neural networks for the enhanced prediction of new atrial fibrillation episodes after stroke. Computers in Biology and Medicine. 197(Pt B). 111095–111095.
3.
Ortega‐Martorell, Sandra, et al.. (2024). Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation. Trends in Cardiovascular Medicine. 35(4). 205–211. 9 indexed citations
4.
5.
Copperwheat, C. M., et al.. (2023). Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream. Monthly Notices of the Royal Astronomical Society. 527(3). 8633–8658. 1 indexed citations
6.
Ortega‐Martorell, Sandra, et al.. (2023). Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks. Cancers. 15(15). 4002–4002. 3 indexed citations
7.
Murray, Scott W., Sandra Ortega‐Martorell, Iván Olier, et al.. (2023). The association of epicardial adipose tissue volume and density with coronary calcium in HIV-positive and HIV-negative patients. Journal of Infection. 86(4). 376–384.
8.
Copperwheat, C. M., et al.. (2022). Machine learning-based search for cataclysmic variables within Gaia Science Alerts. Monthly Notices of the Royal Astronomical Society. 517(3). 3362–3376. 4 indexed citations
9.
Ortega‐Martorell, Sandra, et al.. (2022). The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research. Journal of Cardiovascular Development and Disease. 9(11). 382–382. 8 indexed citations
10.
Ross, Kehinde, et al.. (2021). Chitosan nanoparticles for enhancing drugs and cosmetic components penetration through the skin. European Journal of Pharmaceutical Sciences. 160. 105765–105765. 93 indexed citations
11.
Springate, David A., Rosa Parisi, Iván Olier, David Reeves, & Evangelos Kontopantelis. (2017). rEHR: An R package for manipulating and analysing Electronic Health Record data. PLoS ONE. 12(2). e0171784–e0171784. 15 indexed citations
12.
Kwok, Chun Shing, William Hulme, Iván Olier, Eric Holroyd, & Mamas A. Mamas. (2016). Review of early hospitalisation after percutaneous coronary intervention. International Journal of Cardiology. 227. 370–377. 25 indexed citations
13.
Olier, Iván, David A. Springate, Darren M. Ashcroft, et al.. (2016). Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink. PLoS ONE. 11(2). e0146715–e0146715. 16 indexed citations
14.
Rashid, Muhammad, Chun Shing Kwok, Chris P Gale, et al.. (2016). Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: a systematic review and meta-analysis. European Heart Journal - Quality of Care and Clinical Outcomes. 3(1). 20–36. 72 indexed citations
15.
16.
Vellido, Alfredo, et al.. (2011). A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. The European Symposium on Artificial Neural Networks. 233–238. 2 indexed citations
17.
Olier, Iván, Alfredo Vellido, & Jesús Giraldo. (2010). Kernel Generative Topographic Mapping. The European Symposium on Artificial Neural Networks. 12 indexed citations
18.
Olier, Iván, Julià L. Amengual, & Alfredo Vellido. (2010). Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. The European Symposium on Artificial Neural Networks. 1 indexed citations
19.
20.
Olier, Iván & Alfredo Vellido. (2007). Variational GTM. 77–86. 2 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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