Inmaculada Mora-Jiménez

7.6k total citations
109 papers, 1.1k citations indexed

About

Inmaculada Mora-Jiménez is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Inmaculada Mora-Jiménez has authored 109 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 28 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Inmaculada Mora-Jiménez's work include ECG Monitoring and Analysis (16 papers), Machine Learning in Healthcare (14 papers) and Heart Rate Variability and Autonomic Control (11 papers). Inmaculada Mora-Jiménez is often cited by papers focused on ECG Monitoring and Analysis (16 papers), Machine Learning in Healthcare (14 papers) and Heart Rate Variability and Autonomic Control (11 papers). Inmaculada Mora-Jiménez collaborates with scholars based in Spain, Ecuador and United States. Inmaculada Mora-Jiménez's co-authors include José Luis Rojo‐Álvarez, Cristina Soguero-Ruíz, Javier Ramos, Carlos Figuera, Antonio J. Caamaño, Eduardo Morgado, Óscar Barquero‐Pérez, Juan José Vinagre Díaz, Joaquín Álvarez-Rodríguez and Mark Richard Wilby and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Inmaculada Mora-Jiménez

101 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inmaculada Mora-Jiménez Spain 19 264 258 195 147 128 109 1.1k
Artur Dubrawski United States 16 308 1.2× 147 0.6× 61 0.3× 89 0.6× 134 1.0× 97 1.2k
Yanping Bai China 22 364 1.4× 124 0.5× 163 0.8× 64 0.4× 72 0.6× 90 1.2k
S. Vimal India 19 376 1.4× 131 0.5× 157 0.8× 33 0.2× 48 0.4× 68 1.2k
Ahmet Arslan Türkiye 24 667 2.5× 67 0.3× 219 1.1× 178 1.2× 157 1.2× 92 2.3k
Sławomir Nowaczyk Sweden 18 402 1.5× 156 0.6× 70 0.4× 73 0.5× 113 0.9× 86 1.1k
Salem A. Alyami Saudi Arabia 23 428 1.6× 74 0.3× 255 1.3× 82 0.6× 126 1.0× 92 1.9k
S. Jiménez‐Fernández Spain 21 370 1.4× 568 2.2× 97 0.5× 30 0.2× 35 0.3× 67 1.6k
Anurag Jain India 20 324 1.2× 70 0.3× 69 0.4× 124 0.8× 64 0.5× 136 1.6k
Manjit Kaur India 27 568 2.2× 103 0.4× 585 3.0× 43 0.3× 115 0.9× 88 2.1k
Larry J. Eshelman United States 20 1.4k 5.3× 135 0.5× 139 0.7× 56 0.4× 68 0.5× 40 2.3k

Countries citing papers authored by Inmaculada Mora-Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Mora-Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inmaculada Mora-Jiménez. 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 Inmaculada Mora-Jiménez. The network helps show where Inmaculada Mora-Jiménez may publish in the future.

Co-authorship network of co-authors of Inmaculada Mora-Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Mora-Jiménez. A scholar is included among the top collaborators of Inmaculada Mora-Jiménez 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 Inmaculada Mora-Jiménez. Inmaculada Mora-Jiménez 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.
Delgado‐Miguel, Carlos, et al.. (2025). Indocyanine Green Fluorescence Navigation in Pediatric Hepatobiliary Surgery: Systematic Review. Children. 12(7). 950–950. 1 indexed citations
2.
Marqués, Antonio G., et al.. (2025). Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations. Computer Methods and Programs in Biomedicine. 270. 108920–108920.
3.
Jiménez, Silvia, Inmaculada Mora-Jiménez, Margarita Garrido, et al.. (2024). First-line pembrolizumab for lung cancer in a Spanish real-world study.. Journal of Clinical Oncology. 42(16_suppl). e23268–e23268. 1 indexed citations
4.
Mora-Jiménez, Inmaculada, Himar Fabelo, Inger Torhild Gram, et al.. (2023). Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors. Applied Sciences. 13(7). 4119–4119. 11 indexed citations
5.
Soguero-Ruíz, Cristina, et al.. (2023). A streaming data visualization framework for supporting decision-making in the Intensive Care Unit. Expert Systems with Applications. 227. 120252–120252. 2 indexed citations
6.
Mora-Jiménez, Inmaculada, et al.. (2022). Efficient 3D human pose estimation from RGBD sensors. Displays. 74. 102225–102225. 18 indexed citations
7.
Soguero-Ruíz, Cristina, et al.. (2022). Learning and visualizing chronic latent representations using electronic health records. BioData Mining. 15(1). 18–18. 4 indexed citations
8.
Mora-Jiménez, Inmaculada, et al.. (2021). Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission. Antibiotics. 10(3). 239–239. 16 indexed citations
9.
Marqués, Antonio G., et al.. (2021). Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital. IEEE Journal of Biomedical and Health Informatics. 25(12). 4340–4353. 3 indexed citations
10.
Soguero-Ruíz, Cristina, et al.. (2020). Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. IEEE Access. 8. 137019–137031. 12 indexed citations
11.
Pastor, Giancarlo, Inmaculada Mora-Jiménez, Riku Jäntti, & Antonio J. Caamaño. (2020). Constructing Measures of Sparsity. IEEE Transactions on Knowledge and Data Engineering. 34(8). 3643–3654. 3 indexed citations
12.
Mora-Jiménez, Inmaculada, et al.. (2019). Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit. Entropy. 21(6). 603–603. 41 indexed citations
13.
Soguero-Ruíz, Cristina, et al.. (2018). An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring. International Journal of Environmental Research and Public Health. 15(3). 428–428. 6 indexed citations
14.
Mora-Jiménez, Inmaculada, et al.. (2017). Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps With Manifold Harmonics. IEEE Transactions on Biomedical Engineering. 65(4). 723–732.
15.
Mora-Jiménez, Inmaculada, Arturo Morales Muñiz, Jesús Saiz Galdós, et al.. (2013). Genomics and proteomics in bioarchaeology - Review. 4–17. 3 indexed citations
16.
Goya–Esteban, Rebeca, Inmaculada Mora-Jiménez, Manuel Blanco–Velasco, et al.. (2010). Signal processing subsystem validation for T-wave alternans estimation. Computing in Cardiology. 1035–1038. 1 indexed citations
17.
Mora-Jiménez, Inmaculada, et al.. (2010). Biological mass extinctions on planet Earth. 53–64. 2 indexed citations
18.
Goya–Esteban, Rebeca, Inmaculada Mora-Jiménez, José Luis Rojo‐Álvarez, et al.. (2009). Rhythmometric analysis of Heart Rate Variability indices during long term monitoring. 57–60. 1 indexed citations
19.
Rey, Isabel, et al.. (2009). Ancient DNA to decipher the domestication of dog. 127–132. 3 indexed citations
20.
Dorado, Gabriel, et al.. (2008). Sequencing ancient and modern genomes. 7. 4 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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