Marina Camacho

405 total citations
10 papers, 76 citations indexed

About

Marina Camacho is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Health Information Management. According to data from OpenAlex, Marina Camacho has authored 10 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Health, Toxicology and Mutagenesis and 2 papers in Health Information Management. Recurrent topics in Marina Camacho's work include Health, Environment, Cognitive Aging (5 papers), Cardiovascular Health and Risk Factors (3 papers) and Artificial Intelligence in Healthcare (2 papers). Marina Camacho is often cited by papers focused on Health, Environment, Cognitive Aging (5 papers), Cardiovascular Health and Risk Factors (3 papers) and Artificial Intelligence in Healthcare (2 papers). Marina Camacho collaborates with scholars based in Spain, United Kingdom and Netherlands. Marina Camacho's co-authors include Polyxeni Gkontra, Karim Lekadir, Marc Chadeau‐Hyam, Jordi Mur-Petit, Jerónimo Hernández-González, Jordi Vitrià, Sylvain Sebért, Janine F. Felix, Maria Bulgheroni and Oliver Díaz and has published in prestigious journals such as BMC Public Health, Ultrasound in Obstetrics and Gynecology and Artificial Intelligence Review.

In The Last Decade

Marina Camacho

8 papers receiving 75 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Camacho Spain 4 15 15 14 14 10 10 76
Solène Cadiou France 5 12 0.8× 37 2.5× 4 0.3× 2 0.1× 10 1.0× 5 74
Karima Hammas France 4 4 0.3× 2 0.1× 5 0.4× 7 0.5× 5 0.5× 11 70
Susana Afonso Portugal 5 9 0.6× 7 0.5× 5 0.4× 8 0.8× 15 72
M Macintyre United States 4 13 0.9× 12 0.9× 10 1.0× 12 96
Vjekoslav Gerc Bosnia and Herzegovina 6 4 0.3× 2 0.1× 4 0.3× 3 0.2× 5 0.5× 11 91
Jiyuan Yin China 3 10 0.7× 2 0.1× 12 0.9× 9 0.9× 4 67
Tamás Palicz Hungary 4 4 0.3× 1 0.1× 5 0.4× 5 0.4× 3 0.3× 15 86
James Robinson United States 5 3 0.2× 1 0.1× 4 0.3× 6 0.4× 5 0.5× 8 63
Blossom C.M. Stephan Australia 1 6 0.4× 9 0.6× 15 1.5× 2 70

Countries citing papers authored by Marina Camacho

Since Specialization
Citations

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

Fields of papers citing papers by Marina Camacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina Camacho. 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 Marina Camacho. The network helps show where Marina Camacho may publish in the future.

Co-authorship network of co-authors of Marina Camacho

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Camacho. A scholar is included among the top collaborators of Marina Camacho 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 Marina Camacho. Marina Camacho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Díaz‐Caneja, Covadonga M., Dejan Stevanović, Carlos Martín-Isla, et al.. (2025). Longitudinal Prediction of Mental Health Outcomes in Vulnerable Youth using Machine Learning. Cognitive Computation. 17(5).
3.
Camacho, Marina, et al.. (2024). Low-cost predictive models of dementia risk using machine learning and exposome predictors. Health and Technology. 15(2). 355–365. 3 indexed citations
4.
Camacho, Marina, et al.. (2024). Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts. BMC Public Health. 24(1). 2131–2131. 1 indexed citations
5.
6.
Gkontra, Polyxeni, Marina Camacho, Oliver Díaz, et al.. (2023). Cardiometabolic risk estimation using exposome data and machine learning. International Journal of Medical Informatics. 179. 105209–105209. 15 indexed citations
7.
Camacho, Marina, Oliver Díaz, Maria Bulgheroni, et al.. (2023). Cardiometabolic Risk Estimation Using Exposome Data and Machine Learning. SSRN Electronic Journal. 1 indexed citations
8.
9.
Mur-Petit, Jordi, Jerónimo Hernández-González, Marina Camacho, et al.. (2023). Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artificial Intelligence Review. 56(S2). 1711–1771. 40 indexed citations
10.
Meler, E., R.J. Martinez‐Portilla, Javier Caradeux, et al.. (2022). Severe smallness as predictor of adverse perinatal outcome in suspected late small‐for‐gestational‐age fetuses: systematic review and meta‐analysis. Ultrasound in Obstetrics and Gynecology. 60(3). 328–337. 14 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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2026