Arrate Muñoz‐Barrutia

5.0k total citations · 1 hit paper
87 papers, 2.1k citations indexed

About

Arrate Muñoz‐Barrutia is a scholar working on Biophysics, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Arrate Muñoz‐Barrutia has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biophysics, 19 papers in Biomedical Engineering and 18 papers in Cell Biology. Recurrent topics in Arrate Muñoz‐Barrutia's work include Cell Image Analysis Techniques (22 papers), Cellular Mechanics and Interactions (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Arrate Muñoz‐Barrutia is often cited by papers focused on Cell Image Analysis Techniques (22 papers), Cellular Mechanics and Interactions (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers). Arrate Muñoz‐Barrutia collaborates with scholars based in Spain, United States and United Kingdom. Arrate Muñoz‐Barrutia's co-authors include Carlos Ortíz-de-Solórzano, Ignacio Arganda‐Carreras, Rodrigo Fernández‐González, J. Alfredo Martínéz, Haritz Moreno, Fermı́n I. Milagro, Javier Campión, Noemí Boqué, Estibaliz Gómez‐de‐Mariscal and Xabier Artaechevarria and has published in prestigious journals such as Advanced Materials, PLoS ONE and Nature Methods.

In The Last Decade

Arrate Muñoz‐Barrutia

81 papers receiving 2.1k citations

Hit Papers

3D reconstruction of histological sections: Application t... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arrate Muñoz‐Barrutia Spain 21 497 367 286 281 280 87 2.1k
Xiaoyin Xu United States 27 664 1.3× 449 1.2× 377 1.3× 469 1.7× 349 1.2× 133 2.7k
Wolfgang J. Weninger Austria 27 1.0k 2.1× 305 0.8× 343 1.2× 362 1.3× 105 0.4× 159 2.8k
José A. Fernández United Kingdom 10 1.6k 3.2× 186 0.5× 535 1.9× 368 1.3× 351 1.3× 12 4.9k
Ronan T. Gray United Kingdom 10 1.5k 3.1× 189 0.5× 530 1.9× 368 1.3× 313 1.1× 20 4.9k
Matthew McAuliffe United States 20 331 0.7× 424 1.2× 537 1.9× 380 1.4× 69 0.2× 51 2.0k
Tingting Yu China 32 961 1.9× 813 2.2× 450 1.6× 741 2.6× 239 0.9× 142 3.1k
Ling Fu China 30 1.3k 2.5× 882 2.4× 222 0.8× 516 1.8× 92 0.3× 157 3.8k
Kimerly Powell United States 34 552 1.1× 463 1.3× 455 1.6× 113 0.4× 136 0.5× 92 3.3k
Arnout Ruifrok Netherlands 21 791 1.6× 175 0.5× 582 2.0× 342 1.2× 136 0.5× 48 3.2k
Gary Cowin Australia 31 503 1.0× 417 1.1× 937 3.3× 78 0.3× 385 1.4× 120 3.4k

Countries citing papers authored by Arrate Muñoz‐Barrutia

Since Specialization
Citations

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

Fields of papers citing papers by Arrate Muñoz‐Barrutia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arrate Muñoz‐Barrutia. 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 Arrate Muñoz‐Barrutia. The network helps show where Arrate Muñoz‐Barrutia may publish in the future.

Co-authorship network of co-authors of Arrate Muñoz‐Barrutia

This figure shows the co-authorship network connecting the top 25 collaborators of Arrate Muñoz‐Barrutia. A scholar is included among the top collaborators of Arrate Muñoz‐Barrutia 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 Arrate Muñoz‐Barrutia. Arrate Muñoz‐Barrutia 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.
Muñoz‐Barrutia, Arrate, et al.. (2024). Computational Hyperspectral Microflow Cytometry (Small 30/2024). Small. 20(30).
2.
Lachowski, Dariusz, et al.. (2024). Mechanical and Functional Responses in Astrocytes under Alternating Deformation Modes Using Magneto‐Active Substrates. Advanced Materials. 36(26). e2312497–e2312497. 28 indexed citations
3.
Nair, Praful R., Ludmila Danilova, Estibaliz Gómez‐de‐Mariscal, et al.. (2024). MLL1 regulates cytokine-driven cell migration and metastasis. Science Advances. 10(11). eadk0785–eadk0785. 7 indexed citations
4.
Sánchez-García, Rubén, Rebeca Sanz‐Pamplona, Ramón Alemany, et al.. (2024). Unraveling the power of NAP-CNB’s machine learning-enhanced tumor neoantigen prediction. eLife. 13.
5.
Aldabe, Rafael, et al.. (2024). Multiscale and multimodal evaluation of autosomal dominant polycystic kidney disease development. Communications Biology. 7(1). 1183–1183.
6.
Piñol‐Ripoll, Gerard, et al.. (2024). Alzheimer's Disease Detection in EEG Sleep Signals. IEEE Journal of Biomedical and Health Informatics. 29(2). 948–959.
7.
Aviyente, Selin, Alejandro F. Frangi, Erik Meijering, et al.. (2023). From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Processing Magazine. 40(4). 61–71. 1 indexed citations
8.
Ledezma, Agapito, et al.. (2023). ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis. Sensors. 23(6). 3338–3338. 4 indexed citations
9.
Moreno, Miguel Ángel, María Luisa López-Donaire, S. Lucarini, et al.. (2022). Magneto-mechanical system to reproduce and quantify complex strain patterns in biological materials. Applied Materials Today. 27. 101437–101437. 47 indexed citations
10.
Muñoz‐Barrutia, Arrate, et al.. (2022). Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Computer Methods and Programs in Biomedicine. 222. 106949–106949. 9 indexed citations
11.
Gómez‐de‐Mariscal, Estibaliz, Alexandra Sneider, Hasini Jayatilaka, et al.. (2021). Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets. Scientific Reports. 11(1). 20942–20942. 53 indexed citations
12.
Vaquero, J.J., et al.. (2021). Innovations in ex vivo Light Sheet Fluorescence Microscopy. Progress in Biophysics and Molecular Biology. 168. 37–51. 11 indexed citations
13.
Guerrero‐Aspizua, Sara, et al.. (2020). Nonlinear Image Registration and Pixel Classification Pipeline for the Study of Tumor Heterogeneity Maps. Entropy. 22(9). 946–946. 2 indexed citations
14.
15.
Garcia‐Gonzalez, Daniel & Arrate Muñoz‐Barrutia. (2020). Computational insights into the influence of substrate stiffness on collective cell migration. Extreme Mechanics Letters. 40. 100928–100928. 17 indexed citations
16.
Gómez‐de‐Mariscal, Estibaliz, Josep Carreras, Felipe A. Calvo, et al.. (2020). Association of visual and quantitative heterogeneity of 18F-FDG PET images with treatment response in locally advanced rectal cancer: A feasibility study. PLoS ONE. 15(11). e0242597–e0242597. 8 indexed citations
17.
Vaquero, J.J., et al.. (2019). X-ray-based virtual slicing of TB-infected lungs. Scientific Reports. 9(1). 19404–19404. 3 indexed citations
18.
Ortíz-de-Solórzano, Carlos, Arrate Muñoz‐Barrutia, Erik Meijering, & Michal Kozubek. (2015). Toward a Morphodynamic Model of the Cell. IEEE Signal Processing Magazine. 32(1). 4 indexed citations
19.
Muñoz‐Barrutia, Arrate, et al.. (2014). Quantitative Bioimaging: Signal Processing in Light Microscopy [From the Guest Editors]. IEEE Signal Processing Magazine. 32(1). 18–19. 3 indexed citations
20.
Ortíz-de-Solórzano, Carlos, et al.. (2007). Computer Assisted Detection of Cancer Cells in Minimal Samples of Lung Cancer. Conference proceedings. 7. 5517–5520. 4 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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