Sandra Ortega‐Martorell

1.5k total citations
66 papers, 1.0k citations indexed

About

Sandra Ortega‐Martorell is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Sandra Ortega‐Martorell has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Cardiology and Cardiovascular Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Sandra Ortega‐Martorell's work include Advanced MRI Techniques and Applications (13 papers), Atrial Fibrillation Management and Outcomes (10 papers) and Blind Source Separation Techniques (8 papers). Sandra Ortega‐Martorell is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Atrial Fibrillation Management and Outcomes (10 papers) and Blind Source Separation Techniques (8 papers). Sandra Ortega‐Martorell collaborates with scholars based in United Kingdom, Spain and Denmark. Sandra Ortega‐Martorell's co-authors include Iván Olier, Salah L. Zubaidi, Khalid Hashim, Hussein Al-Bugharbee, Rafid Alkhaddar, Sadik Kamel Gharghan, Patryk Kot, Margarida Julià‐Sapé, Carles Arús and Paulo Lisböa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Hydrology.

In The Last Decade

Sandra Ortega‐Martorell

61 papers receiving 994 citations

Peers

Sandra Ortega‐Martorell
Ahmed M. Elshewey Egypt
Mohammad M. Ghiasi Iran
Shuai Li China
Hossein Arabalibeik Iran
Yu Li China
Kai Song China
Yu Qiu China
Chunwei Liu China
Ming Liu China
Yan Zeng China
Ahmed M. Elshewey Egypt
Sandra Ortega‐Martorell
Citations per year, relative to Sandra Ortega‐Martorell Sandra Ortega‐Martorell (= 1×) peers Ahmed M. Elshewey

Countries citing papers authored by Sandra Ortega‐Martorell

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Ortega‐Martorell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Ortega‐Martorell. 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 Sandra Ortega‐Martorell. The network helps show where Sandra Ortega‐Martorell may publish in the future.

Co-authorship network of co-authors of Sandra Ortega‐Martorell

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Ortega‐Martorell. A scholar is included among the top collaborators of Sandra Ortega‐Martorell 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 Sandra Ortega‐Martorell. Sandra Ortega‐Martorell 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.
Hamilton, David, et al.. (2025). The use of machine learning based models to predict the severity of community acquired pneumonia in hospitalised patients: A systematic review. Journal of the Intensive Care Society. 26(2). 237–248. 1 indexed citations
4.
5.
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
6.
7.
Ortega‐Martorell, Sandra, et al.. (2024). CPR Quality Officer role to improve CPR quality: A multi-centred international simulation randomised control trial. Resuscitation Plus. 17. 100537–100537. 2 indexed citations
8.
Khan, Wasiq, Umar Khayam, Sandra Ortega‐Martorell, et al.. (2024). Person De-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along With New Dimensions. IEEE Transactions on Biometrics Behavior and Identity Science. 7(3). 293–312. 4 indexed citations
9.
Ortega‐Martorell, Sandra, et al.. (2023). Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks. Cancers. 15(15). 4002–4002. 3 indexed citations
10.
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.
11.
Ortega‐Martorell, Sandra, et al.. (2023). Mapping the global free expression landscape using machine learning. SN Applied Sciences. 5(12). 2 indexed citations
12.
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
13.
Olier, Iván, et al.. (2022). In-Hospital Mortality of Sepsis Differs Depending on the Origin of Infection: An Investigation of Predisposing Factors. Frontiers in Medicine. 9. 915224–915224. 20 indexed citations
14.
Jarman, Ian H., et al.. (2020). Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Computing and Applications. 33(13). 7521–7539. 2 indexed citations
15.
Ortega‐Martorell, Sandra, Paulo Lisböa, Ana Paula Candiota, et al.. (2020). Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites. PLoS ONE. 15(7). e0235057–e0235057. 2 indexed citations
16.
Ortega‐Martorell, Sandra, Johannes Slotboom, Urspeter Knecht, et al.. (2016). A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 247–252. 4 indexed citations
17.
Ortega‐Martorell, Sandra, Iván Olier, Jana Starčuková, et al.. (2015). From raw data to data-analysis for magnetic resonance spectroscopy – the missing link: jMRUI2XML. BMC Bioinformatics. 16(1). 378–378. 8 indexed citations
18.
Ortega‐Martorell, Sandra, et al.. (2012). Constructing similarity networks using the Fisher information metric.. The European Symposium on Artificial Neural Networks. 2 indexed citations
19.
Simões, Rui V., Sandra Ortega‐Martorell, Teresa Delgado‐Goñi, et al.. (2011). Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI. Integrative Biology. 4(2). 183–191. 14 indexed citations
20.
Ortega‐Martorell, Sandra, Iván Olier, Margarida Julià‐Sapé, & Carles Arús. (2010). SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinformatics. 11(1). 106–106. 21 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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