Iván Olier

2.4k citations
93 papers · 1.6k · h-index 21

Impact in

Papers in

Iván Olier

86 papers receiving 1.6k citations

Peers

Iván Olier
Comparison fields: 5 of 159
  • Health Informatics 24
  • Cardiology and Cardiovascular Medicine 222
  • Water Science and Technology 118
  • Health Information Management 34
  • Industrial and Manufacturing Engineering 58
Replace Jaime L. Speiser with:
Jaime L. Speiser United States
Rosemary Beresford New Zealand
Xiyang Liu China
Mengying Wang China
Rui Fu China
Liming Guo China
Youngjin Cho South Korea
Yanxun Xu United States
Raquel Rodríguez-Pérez Switzerland
Khairunnisa Hasikin‬ Malaysia
Iván Olier relative to Jaime L. Speiser United States Jaime L. Speiser's profile →
Citations per field
00.5×3.8×
Jaime L. Speiser · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Iván Olier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iván Olier Line = papers co-authored together Iván Olier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 2014139
3 2021108
4 2015105
5 2020103
6 201673
7 201770
8 202159
9 201555
10 201853
11 201151
12 201039
13 201431
14 200830
15 201625
16 202224
17 202424
18 202123
19 201023
20 201922

About Iván Olier

Iván Olier is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Signal Processing, Molecular Biology and Epidemiology, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Atrial Fibrillation Management and Outcomes (7 papers), Time Series Analysis and Forecasting (7 papers), Machine Learning in Healthcare (7 papers), Computational Drug Discovery Methods (6 papers), Advanced MRI Techniques and Applications (6 papers), Sepsis Diagnosis and Treatment (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). The work is most often cited by research in Health Informatics (24 citations), Cardiology and Cardiovascular Medicine (222 citations), Water Science and Technology (118 citations), Health Information Management (34 citations) and Industrial and Manufacturing Engineering (58 citations). Iván Olier has collaborated with scholars based in United Kingdom, Spain and Denmark. Frequent co-authors include Sandra Ortega‐Martorell, Evangelos Kontopantelis, David Reeves, Alfredo Vellido, Darren M. Ashcroft, Khalid Hashim, Salah L. Zubaidi, Hussein Al-Bugharbee, Patryk Kot and Sadik Kamel Gharghan. Their work appears in journals such as PLoS ONE, BMJ Open, Computers in Biology and Medicine, BMC Bioinformatics and European Heart Journal - Quality of Care and Clinical Outcomes.

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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