Inmaculada Mora-Jiménez
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Signal Processing top 5%
- Co-authors
- José Luis Rojo‐ÁlvarezCristina Soguero-RuízJavier RamosCarlos FigueraAntonio J. CaamañoEduardo MorgadoÓscar Barquero‐PérezJuan José Vinagre Díaz
- Topics
- ECG Monitoring and Analysis (16 papers)Machine Learning in Healthcare (14 papers)Heart Rate Variability and Autonomic Control (11 papers)
- Partner nations
- SpainEcuadorUnited States
In The Last Decade
Inmaculada Mora-Jiménez
101 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 264
- Electrical and Electronic Engineering 258
- Computer Vision and Pattern Recognition 195
- Cardiology and Cardiovascular Medicine 147
- Signal Processing 128
Countries citing papers authored by Inmaculada Mora-Jiménez
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 41 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | Genomics and proteomics in bioarchaeology - Review | 3 |
| 16 | Signal processing subsystem validation for T-wave alternans estimation | 1 |
| 17 | Biological mass extinctions on planet Earth | 2 |
| 18 | Rhythmometric analysis of Heart Rate Variability indices during long term monitoring | 1 |
| 19 | Ancient DNA to decipher the domestication of dog | 3 |
| 20 | Sequencing ancient and modern genomes | 4 |
About Inmaculada Mora-Jiménez
Inmaculada Mora-Jiménez is a scholar working on Applied Microbiology and Biotechnology, Health Information Management and Signal Processing, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (16 papers), Machine Learning in Healthcare (14 papers) and Heart Rate Variability and Autonomic Control (11 papers). The work is most often cited by research in Health Informatics (60 citations), Applied Microbiology and Biotechnology (48 citations) and Health Information Management (86 citations). Inmaculada Mora-Jiménez has collaborated with scholars based in Spain, Ecuador and United States. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Expert Systems with Applications.
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.