Nuno Matela

828 total citations
54 papers, 385 citations indexed

About

Nuno Matela is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Nuno Matela has authored 54 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Nuno Matela's work include Medical Imaging Techniques and Applications (29 papers), Digital Radiography and Breast Imaging (21 papers) and AI in cancer detection (15 papers). Nuno Matela is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Digital Radiography and Breast Imaging (21 papers) and AI in cancer detection (15 papers). Nuno Matela collaborates with scholars based in Portugal, United Kingdom and Germany. Nuno Matela's co-authors include P. Almeida, Maurício Sousa, N. Oliveira, Joaquim Jorge, Daniel Simões Lopes, Daniel Mendes, Nuno C. Garcia, Catarina Pinto Reis, M.V. Martins and P. Vaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Nuno Matela

47 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nuno Matela Portugal	11	196	122	101	85	58	54	385
Tanja Schimek‐Jasch Germany	16	261 1.3×	41 0.3×	189 1.9×	24 0.3×	30 0.5×	27	430
Zhaohui Zhu China	9	234 1.2×	72 0.6×	49 0.5×	34 0.4×	81 1.4×	25	442
Akihiro Takemura Japan	9	168 0.9×	53 0.4×	151 1.5×	44 0.5×	37 0.6×	47	395
Indrani Bhattacharya United States	11	152 0.8×	56 0.5×	158 1.6×	142 1.7×	85 1.5×	34	370
Brent Liu United States	8	89 0.5×	35 0.3×	69 0.7×	58 0.7×	26 0.4×	51	265
Xi Pei China	12	238 1.2×	100 0.8×	99 1.0×	57 0.7×	39 0.7×	43	385
Xiuxiu He United States	12	213 1.1×	174 1.4×	97 1.0×	107 1.3×	136 2.3×	35	537
Joseph N. Stember United States	10	159 0.8×	65 0.5×	101 1.0×	63 0.7×	34 0.6×	31	340
Junfeng Zhang China	9	490 2.5×	305 2.5×	46 0.5×	105 1.2×	149 2.6×	13	720
Deepak R. Chittajallu United States	11	174 0.9×	134 1.1×	44 0.4×	98 1.2×	71 1.2×	24	435

Countries citing papers authored by Nuno Matela

Since Specialization

Citations

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

Fields of papers citing papers by Nuno Matela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno Matela

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

All Works

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20 of 20 papers shown

Matela, Nuno, et al.. (2025). A Spectroscopic Methodology to Early Detection of Urinary Tract Infections. Sensors. 25(2). 400–400.

Hellström‐Westas, Lena, et al.. (2024). Brain Extraction Methods in Neonatal Brain MRI and Their Effects on Intracranial Volumes. Applied Sciences. 14(4). 1339–1339. 2 indexed citations

Garcia, Nuno C., et al.. (2024). Artificial intelligence for hierarchical tumor masking potential classification in mammograms. 3-4. 100014–100014.

Matela, Nuno, et al.. (2024). Decoding Breast Cancer: Using Radiomics to Non-Invasively Unveil Molecular Subtypes Directly from Mammographic Images. Journal of Imaging. 10(9). 218–218. 3 indexed citations

Matela, Nuno, et al.. (2024). Breast Cancer Molecular Subtype Prediction: A Mammography-Based AI Approach. Biomedicines. 12(6). 1371–1371. 9 indexed citations

Matela, Nuno, et al.. (2023). Digital Breast Tomosynthesis: Towards Dose Reduction through Image Quality Improvement. Journal of Imaging. 9(6). 119–119. 4 indexed citations

Fernandes, Paulo R., et al.. (2023). Lumbar intervertebral disc segmentation for computer modeling and simulation. Computer Methods and Programs in Biomedicine. 230. 107337–107337. 5 indexed citations

Neves, Ana, et al.. (2023). PosturAll: A Posture Assessment Software for Children. Bioengineering. 10(10). 1171–1171.

Ferreira, Hugo Alexandre, et al.. (2023). Nanoparticle-Based Treatment in Glioblastoma. Journal of Personalized Medicine. 13(9). 1328–1328. 23 indexed citations

10.

Matela, Nuno, et al.. (2023). Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks. Tomography. 9(1). 398–412. 7 indexed citations

11.

Clarkson, Matthew J., et al.. (2022). Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs. Journal of Imaging. 8(9). 231–231. 9 indexed citations

12.

Clarkson, Matthew J., et al.. (2020). An Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation Minimization Regularization. IEEE Transactions on Medical Imaging. 39(12). 4094–4101. 6 indexed citations

13.

Pinho, Jacinta O., Graça Soveral, Lia Ascensão, et al.. (2020). A Novel Hybrid Nanosystem Integrating Cytotoxic and Magnetic Properties as a Tool to Potentiate Melanoma Therapy. Nanomaterials. 10(4). 693–693. 14 indexed citations

14.

Polat, Adem, et al.. (2016). Implementation of majorization-minimization (MM) algorithm for 3D total variation minimization in DBT image reconstruction. Çanakkale Onsekiz Mart University AVESIS. 1–5. 2 indexed citations

15.

Oliveira, N., et al.. (2016). Dynamic relaxation in algebraic reconstruction technique (ART) for breast tomosynthesis imaging. Computer Methods and Programs in Biomedicine. 132. 189–196. 12 indexed citations

16.

Maria, Salvatore Di, et al.. (2014). Optimal photon energy comparison between digital breast tomosynthesis and mammography: A case study. Physica Medica. 30(4). 482–488. 16 indexed citations

17.

Teles, P., Graciano Paulo, Nuno Matela, et al.. (2012). Estimation of the collective dose in the Portuguese population due to medical procedures in 2010. Radiation Protection Dosimetry. 154(4). 446–458. 11 indexed citations

18.

Matela, Nuno, M.V. Martins, N. Oliveira, et al.. (2010). System Matrix Calculation for 2D Image Reconstruction Algorithms for the Clear-PEM Scanner. 13. 98–125.

19.

Oliveira, N., Nuno Matela, R. Bugalho, Nuno C. Ferreira, & P. Almeida. (2009). Optimization of 2D image reconstruction for positron emission mammography using IDL. Computers in Biology and Medicine. 39(2). 119–129. 3 indexed citations

20.

Matela, Nuno, et al.. (2009). Choosing the ART relaxation parameter for Clear-PEM 2D image reconstruction. Computer Methods and Programs in Biomedicine. 98(2). 183–190. 6 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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