Norberto Malpica

4.0k total citations
72 papers, 1.7k citations indexed

About

Norberto Malpica is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Norberto Malpica has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Norberto Malpica's work include Medical Imaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (13 papers) and Medical Image Segmentation Techniques (10 papers). Norberto Malpica is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (13 papers) and Medical Image Segmentation Techniques (10 papers). Norberto Malpica collaborates with scholars based in Spain, United States and Italy. Norberto Malpica's co-authors include A. Santos, Francisco del Pozo, Carlos Ortíz-de-Solórzano, J.J. Vaquero, José Miguel García‐Sagredo, Isabel Vallcorba, J.M. Peña, Eduardo Romero, Andrea Rueda and Ángel Torrado-Carvajal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Norberto Malpica

69 papers receiving 1.7k citations

Peers

Norberto Malpica
Atam P. Dhawan United States
Matthew McAuliffe United States
Filiz Bunyak United States
Shu Liao Taiwan
Norberto Malpica
Citations per year, relative to Norberto Malpica Norberto Malpica (= 1×) peers Gustavo M. Callicó

Countries citing papers authored by Norberto Malpica

Since Specialization
Citations

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

Fields of papers citing papers by Norberto Malpica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norberto Malpica

This figure shows the co-authorship network connecting the top 25 collaborators of Norberto Malpica. A scholar is included among the top collaborators of Norberto Malpica 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 Norberto Malpica. Norberto Malpica 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.
Monje, Mariana H.G., Sylvie Grosjean, Raquel Bouça‐Machado, et al.. (2025). Insights From a Mixed Methods Analysis of 3 Health Technologies Used in Patients With Parkinson Disease: Mixed Methods Study. Journal of Medical Internet Research. 27. e67986–e67986.
2.
Wiesinger, Florian, Valentina Pedoia, Sharmila Majumdar, et al.. (2025). Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mapping. Skeletal Radiology. 55(2). 401–413.
3.
Wiesinger, Florian, Michael Carl, Graeme C. McKinnon, et al.. (2024). Deep learning-enhanced zero echo time MRI for glenohumeral assessment in shoulder instability: a comparative study with CT. Skeletal Radiology. 54(6). 1263–1273. 5 indexed citations
4.
Pan, Shaoyan, Chih‐Wei Chang, Jun Zhou, et al.. (2024). Exploring dual energy CT synthesis in CBCT-based adaptive radiotherapy and proton therapy: application of denoising diffusion probabilistic models. Physics in Medicine and Biology. 69(21). 215011–215011.
5.
Herraiz, J. L., et al.. (2024). Recent advances in combined Positron Emission Tomography and Magnetic Resonance Imaging. Journal of Instrumentation. 19(1). C01001–C01001. 1 indexed citations
6.
Malpica, Norberto, et al.. (2024). A case study of medical image software evolution and its impact in the medical imaging community. Heliyon. 10(5). e26408–e26408. 2 indexed citations
7.
Monje, Mariana H.G., Sylvie Grosjean, Raquel Bouça‐Machado, et al.. (2023). Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?. Sensors. 23(10). 4957–4957. 8 indexed citations
8.
Montemayor, Antonio S., M. C. Rodriguez‐Sanchez, Imene Yahyaoui, et al.. (2021). Hardware Architectures for Real-Time Medical Imaging. Electronics. 10(24). 3118–3118. 18 indexed citations
9.
Malpica, Norberto, et al.. (2019). Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD Python scripts. PLoS ONE. 14(12). e0225795–e0225795. 29 indexed citations
10.
Torrado-Carvajal, Ángel, David Izquierdo‐Garcia, Onofrio A. Catalano, et al.. (2018). Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction. Journal of Nuclear Medicine. 60(3). 429–435. 94 indexed citations
11.
Torrado-Carvajal, Ángel, J. L. Herraiz, Juan A. Hernández‐Tamames, et al.. (2016). Multi-atlas and label fusion approach for patient-specific MRI based skull estimation. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
12.
Torrado-Carvajal, Ángel, J. L. Herraiz, Antonio S. Montemayor, et al.. (2015). Fast Patch-Based Pseudo-CT Synthesis from T1-Weighted MR Images for PET/MR Attenuation Correction in Brain Studies. Journal of Nuclear Medicine. 57(1). 136–143. 64 indexed citations
13.
Rueda, Andrea, Norberto Malpica, & Eduardo Romero. (2012). Single-image super-resolution of brain MR images using overcomplete dictionaries. Medical Image Analysis. 17(1). 113–132. 115 indexed citations
14.
Hernández‐Tamames, Juan A., et al.. (2007). Web-PACS for Multicenter Clinical Trials. IEEE Transactions on Information Technology in Biomedicine. 11(1). 87–93. 16 indexed citations
15.
Malpica, Norberto, et al.. (2003). Automatic quantification of viability in epithelial cell cultures by texture analysis. Journal of Microscopy. 209(1). 34–40. 16 indexed citations
16.
Marcos‐Alberca, Pedro, Miguel Ángel García Fernández, María J. Ledesma‐Carbayo, et al.. (2002). Intramyocardial analysis of regional systolic and diastolic function in ischemic heart disease with Doppler tissue imaging: Role of the different myocardial layers. Journal of the American Society of Echocardiography. 15(2). 99–108. 24 indexed citations
17.
Desco, Manuel, María J. Ledesma‐Carbayo, A. Santos, et al.. (2002). Assessment of normal and ischaemic myocardium by quantitative m-mode tissue doppler imaging. Ultrasound in Medicine & Biology. 28(5). 561–569. 12 indexed citations
18.
Malpica, Norberto, Carlos Ortíz-de-Solórzano, J.J. Vaquero, et al.. (1998). Applying watershed algorithms to the segmentation of clustered nuclei. Cytometry. 28(4). 289–297. 351 indexed citations
19.
Aguilera, Enrique J. Gómez, et al.. (1998). A broadband multimedia collaborative system for advanced teleradiology and medical imaging diagnosis. IEEE Transactions on Information Technology in Biomedicine. 2(3). 146–155. 26 indexed citations
20.
Santos, A., Carlos Ortíz-de-Solórzano, J.J. Vaquero, et al.. (1997). Evaluation of autofocus functions in molecular cytogenetic analysis. Journal of Microscopy. 188(3). 264–272. 279 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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