Iván Olier
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Medical Coding and Health Information
Papers in
-
- Atrial Fibrillation Management and Outcomes 12
-
- Machine Learning in Healthcare 9
- Explainable Artificial Intelligence (XAI) 7
- Neural Networks and Applications 7
- Bayesian Methods and Mixture Models 6
- Co-authors
- Sandra Ortega‐Martorell (55 shared papers)Evangelos Kontopantelis (9 shared papers)David J. Reeves (6 shared papers)Darren Mark Ashcroft (5 shared papers)Alfredo Vellido (21 shared papers)Gregory Y.H. Lip (22 shared papers)Patryk Kot (2 shared papers)Hussein Al-Bugharbee (2 shared papers)
- Journals
- PLoS ONE (7 papers)Monthly Notices of the Royal Astronomical Society (4 papers)BMC Bioinformatics (3 papers)Computers in Biology and Medicine (3 papers)BMJ Open (3 papers)
- Partner nations
- United KingdomSpainDenmark
In The Last Decade
Iván Olier
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Health Informatics 54
- Health Information Management 115
- Cardiology and Cardiovascular Medicine 299
- Genetics 89
- Radiology, Nuclear Medicine and Imaging 175
Countries citing papers authored by Iván Olier
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
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.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 2014 | 152 | |
| 3 | 2015 | 116 | |
| 4 | 2021 | 113 | |
| 5 | 2008 | 112 | |
| 6 | 2020 | 103 | |
| 7 | 2016 | 78 | |
| 8 | 2017 | 74 | |
| 9 | 2021 | 65 | |
| 10 | 2015 | 60 | |
| 11 | 2018 | 55 | |
| 12 | 2011 | 52 | |
| 13 | 2010 | 38 | |
| 14 | 2014 | 32 | |
| 15 | 2008 | 31 | |
| 16 | 2022 | 29 | |
| 17 | 2024 | 29 | |
| 18 | 2016 | 25 | |
| 19 | 2021 | 25 | |
| 20 | 2010 | 24 |
About Iván Olier
Iván Olier is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Signal Processing, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (12 papers), Machine Learning in Healthcare (9 papers), Advanced MRI Techniques and Applications (9 papers), Time Series Analysis and Forecasting (8 papers), Explainable Artificial Intelligence (XAI) (7 papers), Neural Networks and Applications (7 papers), Glioma Diagnosis and Treatment (6 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Health Informatics (54 citations), Health Information Management (115 citations), Cardiology and Cardiovascular Medicine (299 citations), Genetics (89 citations) and Radiology, Nuclear Medicine and Imaging (175 citations). Iván Olier has collaborated with scholars based in United Kingdom, Spain and Denmark. Frequent co-authors include Sandra Ortega‐Martorell, Evangelos Kontopantelis, David J. Reeves, Darren Mark Ashcroft, Alfredo Vellido, Gregory Y.H. Lip, Patryk Kot, Hussein Al-Bugharbee, Sadik Kamel Gharghan and Khalid Hashim. Their work appears in journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society, BMC Bioinformatics, Computers in Biology and Medicine and BMJ Open.
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.