Maite Termenón

663 total citations
14 papers, 413 citations indexed

About

Maite Termenón is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maite Termenón has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maite Termenón's work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Neural dynamics and brain function (3 papers). Maite Termenón is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Neural dynamics and brain function (3 papers). Maite Termenón collaborates with scholars based in Spain, France and United States. Maite Termenón's co-authors include Manuel Graña, Sophie Achard, Chantal Delon‐Martin, Assia Jaillard, Ana González‐Pinto, Ariadna Besga, Alexandre Savio, Molly G. Bright, César Caballero‐Gaudes and Stefano Moia and has published in prestigious journals such as NeuroImage, Neurocomputing and Neuroscience Letters.

In The Last Decade

Maite Termenón

13 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maite Termenón Spain 12 221 171 86 63 57 14 413
Dimosthenis Tsagkrasoulis Greece 6 262 1.2× 173 1.0× 91 1.1× 62 1.0× 104 1.8× 11 631
Rudra P. K. Poudel United Kingdom 5 264 1.2× 167 1.0× 106 1.2× 61 1.0× 104 1.8× 5 582
Chiara Marzi Italy 13 135 0.6× 180 1.1× 70 0.8× 59 0.9× 56 1.0× 32 435
Weikai Li China 16 384 1.7× 169 1.0× 67 0.8× 57 0.9× 130 2.3× 45 627
Chunlan Yang China 12 181 0.8× 253 1.5× 28 0.3× 49 0.8× 78 1.4× 37 528
Yifan Li China 12 198 0.9× 111 0.6× 73 0.8× 32 0.5× 54 0.9× 35 424
Dongren Yao United States 10 306 1.4× 111 0.6× 105 1.2× 72 1.1× 111 1.9× 19 478
Chenfei Ye China 13 181 0.8× 157 0.9× 65 0.8× 90 1.4× 67 1.2× 52 468
Darya Chyzhyk Spain 12 362 1.6× 162 0.9× 148 1.7× 83 1.3× 61 1.1× 18 634

Countries citing papers authored by Maite Termenón

Since Specialization
Citations

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

Fields of papers citing papers by Maite Termenón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maite Termenón

This figure shows the co-authorship network connecting the top 25 collaborators of Maite Termenón. A scholar is included among the top collaborators of Maite Termenón 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 Maite Termenón. Maite Termenón 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
1.
Gardin, Andrea, et al.. (2026). Predicting DNA Origami Stability in Physiological Media by Machine Learning. Small Structures. 7(2).
2.
Oujamaa, L., Chantal Delon‐Martin, Maite Termenón, et al.. (2023). Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury. Brain Communications. 5(6). fcad319–fcad319. 2 indexed citations
3.
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
4.
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
5.
Morgan, Sarah E., Sophie Achard, Maite Termenón, Edward T. Bullmore, & Petra E. Vértes. (2018). Low-dimensional morphospace of topological motifs in human fMRI brain networks. Network Neuroscience. 2(2). 285–302. 13 indexed citations
6.
Termenón, Maite, Assia Jaillard, Chantal Delon‐Martin, & Sophie Achard. (2016). Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project. NeuroImage. 142. 172–187. 101 indexed citations
7.
Termenón, Maite, Sophie Achard, Assia Jaillard, & Chantal Delon‐Martin. (2016). The “Hub Disruption Index,” a Reliable Index Sensitive to the Brain Networks Reorganization. A Study of the Contralesional Hemisphere in Stroke. Frontiers in Computational Neuroscience. 10. 84–84. 23 indexed citations
8.
Termenón, Maite, Manuel Graña, Alexandre Savio, et al.. (2015). Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing. 174. 344–351. 14 indexed citations
9.
Miché, Yoan, Anton Akusok, David Veganzones, et al.. (2015). SOM-ELM—Self-Organized Clustering using ELM. Neurocomputing. 165. 238–254. 15 indexed citations
10.
Termenón, Maite, Manuel Graña, Alfonso Barrós‐Loscertales, & César Ávila. (2013). Extreme Learning Machines for Feature Selection and Classification of Cocaine Dependent Patients on Structural MRI Data. Neural Processing Letters. 38(3). 375–387. 23 indexed citations
11.
12.
Termenón, Maite, et al.. (2012). Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification. Neurocomputing. 114. 132–141. 11 indexed citations
13.
Graña, Manuel, et al.. (2011). Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson's correlation. Neuroscience Letters. 502(3). 225–229. 96 indexed citations
14.
Termenón, Maite & Manuel Graña. (2011). A Two Stage Sequential Ensemble Applied to the Classification of Alzheimer’s Disease Based on MRI Features. Neural Processing Letters. 35(1). 1–12. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dimosthenis Tsagkrasoulis Breakdown of academic impact, for papers by Rudra P. K. Poudel Breakdown of academic impact, for papers by Chiara Marzi Breakdown of academic impact, for papers by Weikai Li Breakdown of academic impact, for papers by Chunlan Yang Breakdown of academic impact, for papers by Yifan Li Breakdown of academic impact, for papers by Dongren Yao Breakdown of academic impact, for papers by Chenfei Ye Breakdown of academic impact, for papers by Darya Chyzhyk
Rankless by CCL
2026