Marcelino Martínez‐Sober
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Analytical Chemistry top 5%
- Artificial Intelligence top 10%
- Plant Science
- Co-authors
- Emilio Soria‐OlivasAntonio J. Serrano-LópezJuan Gómez‐SanchísJosé D. Martín‐GuerreroJuan GuerreroJ. BlascoRafael Magdalena‐BeneditoD. Lorente
- Topics
- ECG Monitoring and Analysis (4 papers)Spectroscopy and Chemometric Analyses (4 papers)Smart Agriculture and AI (3 papers)
In The Last Decade
Marcelino Martínez‐Sober
26 papers receiving 609 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biomedical Engineering 146
- Cardiology and Cardiovascular Medicine 138
- Analytical Chemistry 108
- Artificial Intelligence 95
- Plant Science 87
Countries citing papers authored by Marcelino Martínez‐Sober
This map shows the geographic impact of Marcelino Martínez‐Sober'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 Marcelino Martínez‐Sober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelino Martínez‐Sober more than expected).
Fields of papers citing papers by Marcelino Martínez‐Sober
This network shows the impact of papers produced by Marcelino Martínez‐Sober. 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 Marcelino Martínez‐Sober. The network helps show where Marcelino Martínez‐Sober may publish in the future.
Co-authorship network of co-authors of Marcelino Martínez‐Sober
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelino Martínez‐Sober. A scholar is included among the top collaborators of Marcelino Martínez‐Sober 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 Marcelino Martínez‐Sober. Marcelino Martínez‐Sober is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Whybreakdown → | 19 |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 80 | |
| 10 | Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. | 1 |
| 11 | 40 | |
| 12 | 32 | |
| 13 | 36 | |
| 14 | Regularized Committee of Extreme Learning Machine for Regression Problems. | 5 |
| 15 | 5 | |
| 16 | 3 | |
| 17 | New algorithm for fetal QRS detection in surface abdominal records | 20 |
| 18 | 54 | |
| 19 | 19 | |
| 20 | 42 |
About Marcelino Martínez‐Sober
Marcelino Martínez‐Sober is a scholar working on Signal Processing, Health Information Management and Analytical Chemistry, having authored 28 papers that have together received 636 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Analytical Chemistry (108 citations), Signal Processing (78 citations) and Health Information Management (32 citations). Marcelino Martínez‐Sober has collaborated with scholars based in Spain, Germany and Austria. Frequent co-authors include Emilio Soria‐Olivas, Antonio J. Serrano-López, Juan Gómez‐Sanchís, José D. Martín‐Guerrero, Juan Guerrero, J. Blasco, Rafael Magdalena‐Benedito, D. Lorente, Javier Calpe‐Maravilla and José M. Martínez-Martínez. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and LWT.
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.