Nuno Matela

854 citations
56 papers · 405 · h-index 11

Impact in

Papers in

Nuno Matela

48 papers receiving 395 citations

Peers

Nuno Matela
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 176
  • Human-Computer Interaction 43
  • Radiation 52
  • Pulmonary and Respiratory Medicine 95
  • Health Informatics 4
Replace Tanja Schimek‐Jasch with:
Tanja Schimek‐Jasch Germany
Jacob C. Reinhold United States
Sascha Zelzer Germany
Junfeng Zhang China
Joseph N. Stember United States
Alexis Dimitriadis United Kingdom
Zhaohui Zhu China
Lucas Fidon United Kingdom
Fatih Incekara Netherlands
Yngve Kvinnsland Norway
Nuno Matela relative to Tanja Schimek‐Jasch Germany Tanja Schimek‐Jasch's profile →
Citations per field
00.5×
Tanja Schimek‐Jasch · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nuno Matela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nuno Matela Line = papers co-authored together Nuno Matela links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202329
3 202222
4 200521
5 202116
6 201416
7 202316
8 201416
9 202014
10 201612
11 201211
12 201510
13 20229
14 20249
15 20138
16 20238
17 20097
18 20067
19 20037
20 20206

About Nuno Matela

Nuno Matela is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiation and Biomedical Engineering, having authored 56 papers that have together received 405 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (26 papers), Digital Radiography and Breast Imaging (22 papers), AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Radiation Detection and Scintillator Technologies (10 papers), Advanced X-ray and CT Imaging (6 papers), Atomic and Subatomic Physics Research (5 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (176 citations), Human-Computer Interaction (43 citations), Radiation (52 citations), Pulmonary and Respiratory Medicine (95 citations) and Health Informatics (4 citations). Nuno Matela has collaborated with scholars based in Portugal, United Kingdom and Germany. Frequent co-authors include P. Almeida, Daniel Simões Lopes, Joaquim Jorge, Daniel Mendes, N. Oliveira, Maurício Sousa, Catarina Pinto Reis, Nuno C. Garcia, Hugo Alexandre Ferreira and P. Vaz. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Radiation Protection Dosimetry, Computers in Biology and Medicine, Medical Physics and Applied Sciences.

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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