Marı́a J. Lado
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Arturo J. MéndezPablo G. TahocesMiguel SoutoJ VidalXosé A. VilaLeandro Rodrı́guez-LiñaresDavid N. OlivieriPedro Cuesta
- Topics
- Heart Rate Variability and Autonomic Control (17 papers)Non-Invasive Vital Sign Monitoring (12 papers)AI in cancer detection (11 papers)
In The Last Decade
Marı́a J. Lado
48 papers receiving 700 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 294
- Computer Vision and Pattern Recognition 237
- Cardiology and Cardiovascular Medicine 189
- Radiology, Nuclear Medicine and Imaging 172
- Pulmonary and Respiratory Medicine 141
Countries citing papers authored by Marı́a J. Lado
This map shows the geographic impact of Marı́a J. Lado'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 Marı́a J. Lado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a J. Lado more than expected).
Fields of papers citing papers by Marı́a J. Lado
This network shows the impact of papers produced by Marı́a J. Lado. 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 Marı́a J. Lado. The network helps show where Marı́a J. Lado may publish in the future.
Co-authorship network of co-authors of Marı́a J. Lado
This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a J. Lado. A scholar is included among the top collaborators of Marı́a J. Lado 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 Marı́a J. Lado. Marı́a J. Lado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 17 | |
| 6 | 38 | |
| 7 | VARVI: A software tool for analyzing the variability of the heart rate in response to visual stimuli | 2 |
| 8 | Heart of Darkness Heart Rate Variability on patients with risk of suicide | 0 |
| 9 | gHRV: A user friendly application for HRV analysis | 7 |
| 10 | HRV patterns and exacerbations of COPD patients following routine controls: A preliminary study | 2 |
| 11 | 25 | |
| 12 | ITVT: An image testing and visualization tool for image processing tasks | 1 |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 40 | |
| 17 | 97 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 101 |
About Marı́a J. Lado
Marı́a J. Lado is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Software, having authored 50 papers that have together received 748 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (17 papers), Non-Invasive Vital Sign Monitoring (12 papers) and AI in cancer detection (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Artificial Intelligence (294 citations) and Cardiology and Cardiovascular Medicine (189 citations). Marı́a J. Lado has collaborated with scholars based in Spain, France and Bolivia. Frequent co-authors include Arturo J. Méndez, Pablo G. Tahoces, Miguel Souto, J Vidal, Xosé A. Vila, Leandro Rodrı́guez-Liñares, David N. Olivieri, Pedro Cuesta, Carmén Cadarso-Suárez and Martine Rémy‐Jardin. Their work appears in journals such as IEEE Transactions on Image Processing, Statistics in Medicine and Medical Physics.
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.