Sergio Sanchez‐Martinez

969 total citations
16 papers, 537 citations indexed

About

Sergio Sanchez‐Martinez is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sergio Sanchez‐Martinez has authored 16 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sergio Sanchez‐Martinez's work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (6 papers) and Pregnancy and preeclampsia studies (3 papers). Sergio Sanchez‐Martinez is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (6 papers) and Pregnancy and preeclampsia studies (3 papers). Sergio Sanchez‐Martinez collaborates with scholars based in Spain, United Kingdom and Belgium. Sergio Sanchez‐Martinez's co-authors include Bart Bijnens, Gemma Piella, Alan G. Fraser, Nicolás Duchateau, Tamás Erdei, Patricia García‐Canadilla, F. Crispi, Paolo Marino, Anna Degiovanni and Maja Čikeš and has published in prestigious journals such as Medical Image Analysis, European Journal of Heart Failure and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Sergio Sanchez‐Martinez

15 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Sanchez‐Martinez Spain 8 276 186 101 89 74 16 537
Sravani Gajjala United States 3 329 1.2× 284 1.5× 113 1.1× 58 0.7× 38 0.5× 7 575
Laura A. Hallock United States 4 329 1.2× 287 1.5× 113 1.1× 59 0.7× 38 0.5× 6 600
Jessica Torres Soto United States 5 369 1.3× 233 1.3× 214 2.1× 176 2.0× 156 2.1× 7 843
Linyuan Jing United States 16 615 2.2× 288 1.5× 34 0.3× 65 0.7× 53 0.7× 36 855
Gregory J Wehner United States 13 506 1.8× 264 1.4× 28 0.3× 47 0.5× 35 0.5× 27 701
Ross Upton United Kingdom 9 232 0.8× 141 0.8× 45 0.4× 21 0.2× 23 0.3× 23 405
Fima Macheret United States 10 401 1.5× 66 0.4× 33 0.3× 98 1.1× 67 0.9× 21 713
Gaurav Satam United States 3 797 2.9× 183 1.0× 139 1.4× 111 1.2× 88 1.2× 6 1.0k
Sirish Shrestha United States 11 414 1.5× 414 2.2× 146 1.4× 87 1.0× 86 1.2× 26 810
Min Jeong Kim South Korea 9 234 0.8× 57 0.3× 36 0.4× 53 0.6× 44 0.6× 27 460

Countries citing papers authored by Sergio Sanchez‐Martinez

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Sanchez‐Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Sanchez‐Martinez. 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 Sergio Sanchez‐Martinez. The network helps show where Sergio Sanchez‐Martinez may publish in the future.

Co-authorship network of co-authors of Sergio Sanchez‐Martinez

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

All Works

16 of 16 papers shown
1.
Sanchez‐Martinez, Sergio, Zahra Hoodbhoy, Gemma Piella, et al.. (2024). Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country. BMJ Global Health. 9(12). e016088–e016088. 1 indexed citations
2.
Eixarch, E., M. Illa, Raquel Fucho, et al.. (2023). An Artificial Placenta Experimental System in Sheep: Critical Issues for Successful Transition and Survival up to One Week. Biomedicines. 11(3). 702–702. 6 indexed citations
3.
Sanchez‐Martinez, Sergio, Paula C. Randanne, Raquel Fucho, et al.. (2023). Acute fetal cardiovascular adaptation to artificial placenta in sheep model. Ultrasound in Obstetrics and Gynecology. 62(2). 255–265. 2 indexed citations
4.
Sanchez‐Martinez, Sergio, Óscar Cámara, Gemma Piella, et al.. (2022). Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging. Frontiers in Cardiovascular Medicine. 8. 765693–765693. 47 indexed citations
5.
Crispi, F., Sergio Sanchez‐Martinez, Paula C. Randanne, et al.. (2022). OC01.10: Short‐term fetal cardiovascular adaptation to an artificial placenta in sheep. Ultrasound in Obstetrics and Gynecology. 60(S1). 4–4.
6.
Lončarić, Filip, Sergio Sanchez‐Martinez, Laura Sanchís, et al.. (2021). Automated Pattern Recognition in Whole-Cardiac Cycle Echocardiographic Data: Capturing Functional Phenotypes with Machine Learning. Journal of the American Society of Echocardiography. 34(11). 1170–1183. 13 indexed citations
7.
García‐Canadilla, Patricia, Sergio Sanchez‐Martinez, Cameron Slorach, et al.. (2021). Machine-learning–based exploration to identify remodeling patterns associated with death or heart-transplant in pediatric-dilated cardiomyopathy. The Journal of Heart and Lung Transplantation. 41(4). 516–526. 17 indexed citations
8.
García‐Canadilla, Patricia, Sergio Sanchez‐Martinez, F. Crispi, & Bart Bijnens. (2020). Machine Learning in Fetal Cardiology: What to Expect. Fetal Diagnosis and Therapy. 47(5). 363–372. 85 indexed citations
9.
Lončarić, Filip, Sergio Sanchez‐Martinez, Laura Nuño, et al.. (2020). 421 Exploring hypertensive patient profiles based on full myocardial deformation and Doppler traces - insights from a machine-learning approach. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 1 indexed citations
10.
Sanchez‐Martinez, Sergio, Cameron Slorach, Wei Hui, et al.. (2020). 546 Machine-learning based exploration of echocardiographic patterns and clinical parameters to understand their relation to death or transplant in pediatric dilated cardiomyopathy. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 1 indexed citations
11.
Craene, Mathieu De, et al.. (2019). Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction. Medical Image Analysis. 60. 101594–101594. 5 indexed citations
12.
Tabassian, Mahdi, Tamás Erdei, Sergio Sanchez‐Martinez, et al.. (2018). Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation. Journal of the American Society of Echocardiography. 31(12). 1272–1284.e9. 76 indexed citations
13.
Čikeš, Maja, Sergio Sanchez‐Martinez, Brian Claggett, et al.. (2018). Machine Learning-Based Phenogrouping in Heart Failure to Identify Responders to Cardiac Resynchronization Therapy. European Journal of Heart Failure. 21(1). 74–85. 156 indexed citations
14.
Sanchez‐Martinez, Sergio, Nicolás Duchateau, Tamás Erdei, et al.. (2018). Machine Learning Analysis of Left Ventricular Function to Characterize Heart Failure With Preserved Ejection Fraction. Circulation Cardiovascular Imaging. 11(4). e007138–e007138. 90 indexed citations
15.
Sanchez‐Martinez, Sergio, Nicolás Duchateau, Tamás Erdei, et al.. (2016). Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Analysis. 35. 70–82. 35 indexed citations
16.
Cicero-Fernández, Pablo, et al.. (1998). Preliminary assessment of human exposure to ozone in Mexico City using a GIS-based methodology. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 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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