Oscar Estéban

8.6k total citations · 2 hit papers
37 papers, 2.6k citations indexed

About

Oscar Estéban is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Oscar Estéban has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Cognitive Neuroscience and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Oscar Estéban's work include Advanced MRI Techniques and Applications (18 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (12 papers). Oscar Estéban is often cited by papers focused on Advanced MRI Techniques and Applications (18 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (12 papers). Oscar Estéban collaborates with scholars based in United States, Switzerland and Spain. Oscar Estéban's co-authors include Russell A. Poldrack, Krzysztof J. Gorgolewski, Ross Blair, Christopher J. Markiewicz, Mathias Goncalves, Satrajit Ghosh, Hiroyuki Oya, Asier Erramuzpe, Jessey Wright and Joke Durnez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Oscar Estéban

31 papers receiving 2.6k citations

Hit Papers

fMRIPrep: a robust preprocessing pipeline for functional MRI 2017 2026 2020 2023 2018 2017 500 1000 1.5k

Peers

Oscar Estéban
Elizabeth DuPré United States
Joke Durnez United States
Mathias Goncalves United States
Stan Colcombe United States
Jason S. Nomi United States
James D. Kent United States
Elizabeth DuPré United States
Oscar Estéban
Citations per year, relative to Oscar Estéban Oscar Estéban (= 1×) peers Elizabeth DuPré

Countries citing papers authored by Oscar Estéban

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Estéban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Estéban

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

All Works

20 of 20 papers shown
1.
Szczepankiewicz, Filip, et al.. (2025). Evaluating the dependence of ADC-fMRI on haemodynamics in breath-hold and resting-state conditions. Imaging Neuroscience. 3.
2.
Fischi-Gómez, Elda, Yasser Alemán‐Gómez, Jonas Richiardi, et al.. (2025). Removing facial features from structural MRI images biases visual quality assessment. PLoS Biology. 23(4). e3003149–e3003149.
3.
Estéban, Oscar, et al.. (2025). A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain. Scientific Data. 12(1). 602–602.
4.
Markiewicz, Christopher J., Mathias Goncalves, Gregory Kiar, et al.. (2024). A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging. IEEE Transactions on Computers. 74(1). 200–209. 1 indexed citations
5.
Li, Xinhui, Nathália Bianchini Esper, Lei Ai, et al.. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour. 8(10). 2003–2017. 11 indexed citations
6.
MacNicol, Eilidh, et al.. (2023). Quality control in functional MRI studies with MRIQC and fMRIPrep. SHILAP Revista de lepidopterología. 1. 1073734–1073734. 10 indexed citations
7.
Ćirić, Rastko, William Hedley Thompson, Romy Lorenz, et al.. (2022). TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods. 19(12). 1568–1571. 29 indexed citations
8.
Goncalves, Mathias, Christopher J. Markiewicz, Stefano Moia, et al.. (2021). NiTransforms: A Python tool to read, represent, manipulate, and apply dimensional spatial transforms. The Journal of Open Source Software. 6(65). 3459–3459. 2 indexed citations
9.
Jarecka, Dorota, Mathias Goncalves, Christopher J. Markiewicz, et al.. (2020). Pydra - a flexible and lightweight dataflow engine for scientific analyses. Proceedings of the Python in Science Conferences. 132–139. 4 indexed citations
10.
Joseph, Michael, Derek Pisner, Adam Richie-Halford, et al.. (2020). dMRIPrep: a robust preprocessing pipeline for diffusion MRI. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Rodrigue, Amanda, D. Mastrovito, Oscar Estéban, et al.. (2020). Searching for Imaging Biomarkers of Psychotic Dysconnectivity. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(12). 1135–1144. 9 indexed citations
12.
Estéban, Oscar, Christopher J. Markiewicz, Ross Blair, Russell A. Poldrack, & Krzysztof J. Gorgolewski. (2020). sMRIPrep: Structural MRI PREProcessing workflows. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
13.
Estéban, Oscar, Ross Blair, Dylan M. Nielson, et al.. (2019). Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines. Scientific Data. 6(1). 30–30. 34 indexed citations
14.
Estéban, Oscar, Christopher J. Markiewicz, Ross Blair, et al.. (2018). fMRIPrep: a robust preprocessing pipeline for functional MRI. Nature Methods. 16(1). 111–116. 1912 indexed citations breakdown →
15.
Estéban, Oscar, Ross Blair, Christopher J. Markiewicz, et al.. (2018). poldracklab/fmriprep: 1.1.4. Figshare. 1 indexed citations
16.
Estéban, Oscar, Daniel Birman, Marie Schaer, et al.. (2017). MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLoS ONE. 12(9). e0184661–e0184661. 497 indexed citations breakdown →
17.
Estéban, Oscar, Ross Blair, Christopher J. Markiewicz, et al.. (2017). poldracklab/fmriprep: 1.0.0-rc12. Figshare. 6 indexed citations
18.
Estéban, Oscar, Dominique Zosso, Alessandro Daducci, et al.. (2016). Surface-driven registration method for the structure-informed segmentation of diffusion MR images. NeuroImage. 139. 450–461. 9 indexed citations
19.
Estéban, Oscar, Gert Wollny, Subrahmanyam Gorthi, et al.. (2014). MBIS: Multivariate Bayesian Image Segmentation tool. Computer Methods and Programs in Biomedicine. 115(2). 76–94. 3 indexed citations
20.
Estéban, Oscar, Pablo Aguiar, Cristina Crespo, et al.. (2012). FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation. Neuroinformatics. 11(1). 77–89. 22 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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