Stefano Moia

790 total citations
14 papers, 193 citations indexed

About

Stefano Moia is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Stefano Moia has authored 14 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Computer Networks and Communications. Recurrent topics in Stefano Moia's work include Functional Brain Connectivity Studies (13 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Stefano Moia is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Stefano Moia collaborates with scholars based in Spain, United States and Switzerland. Stefano Moia's co-authors include César Caballero‐Gaudes, Molly G. Bright, Rachael Stickland, Maite Termenón, Marcel P. Zwiers, Robert Oostenveld, Javier González-Castillo, Peter A. Bandettini, Gang Chen and Taylor Salo and has published in prestigious journals such as NeuroImage, Scientific Reports and Frontiers in Neuroscience.

In The Last Decade

Stefano Moia

13 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Moia Spain 7 133 120 24 16 10 14 193
Tongpeng Chu China 10 115 0.9× 112 0.9× 19 0.8× 14 0.9× 2 0.2× 28 231
Monika Połczyńska United States 11 248 1.9× 90 0.8× 20 0.8× 7 0.4× 6 0.6× 21 306
Kangkang Xue China 9 112 0.8× 93 0.8× 28 1.2× 21 1.3× 4 0.4× 26 211
Patricia Pais‐Roldán Germany 10 148 1.1× 95 0.8× 4 0.2× 13 0.8× 7 0.7× 13 202
Benjamin Speidel United States 6 104 0.8× 75 0.6× 7 0.3× 25 1.6× 4 0.4× 8 176
Bettina L. Serrallach Switzerland 8 101 0.8× 28 0.2× 31 1.3× 17 1.1× 3 0.3× 25 200
Chang‐Le Chen Taiwan 10 152 1.1× 110 0.9× 13 0.5× 19 1.2× 19 268
Michael Lin United States 2 65 0.5× 131 1.1× 13 0.5× 29 1.8× 2 0.2× 2 242
Matthew Erhart United States 6 102 0.8× 117 1.0× 5 0.2× 5 0.3× 14 1.4× 9 201

Countries citing papers authored by Stefano Moia

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Moia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Moia

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

All Works

14 of 14 papers shown
2.
Moia, Stefano, et al.. (2025). Emo-FilM: A multimodal dataset for affective neuroscience using naturalistic stimuli. Scientific Data. 12(1). 684–684. 1 indexed citations
4.
Moia, Stefano, et al.. (2023). Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA. Imaging Neuroscience. 2. 3 indexed citations
5.
Preti, Maria Giulia, et al.. (2023). Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 1 indexed citations
6.
Zwiers, Marcel P., Stefano Moia, & Robert Oostenveld. (2022). BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure. Frontiers in Neuroinformatics. 15. 770608–770608. 20 indexed citations
8.
DuPré, Elizabeth, Taylor Salo, Peter A. Bandettini, et al.. (2021). TE-dependent analysis of multi-echo fMRI with tedana. The Journal of Open Source Software. 6(66). 3669–3669. 60 indexed citations
9.
Moia, Stefano, Maite Termenón, Gang Chen, et al.. (2021). ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI. NeuroImage. 233. 117914–117914. 31 indexed citations
10.
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
11.
Stickland, Rachael, et al.. (2021). A practical modification to a resting state fMRI protocol for improved characterization of cerebrovascular function. NeuroImage. 239. 118306–118306. 17 indexed citations
12.
Moia, Stefano, et al.. (2021). A Low Rank and Sparse Paradigm Free Mapping Algorithm For Deconvolution of FMRI Data. Communities in ADDI (University of the Basque Country). 73. 1726–1729. 3 indexed citations
13.
Moia, Stefano, et al.. (2020). Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI. PubMed. 2020. 1489–1492. 21 indexed citations
14.
Caballero‐Gaudes, César, et al.. (2019). A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping. NeuroImage. 202. 116081–116081. 15 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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