Inês Machado
Impact in
-
- Venous Thromboembolism Diagnosis and Management
-
- Context-Aware Activity Recognition Systems
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 3
- Context-Aware Activity Recognition Systems 2
-
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Hugo Gambôa (2 shared papers)Vítor Paixão (2 shared papers)Rui M. Costa (1 shared paper)Pasquale Mordasini (1 shared paper)Gillian Gunning (1 shared paper)Michael Gilvarry (1 shared paper)P.E. McHugh (1 shared paper)Ellen T. Roche (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (3 papers)Nature Communications (1 paper)Journal of NeuroInterventional Surgery (1 paper)Bioinformatics (1 paper)Information Processing & Management (1 paper)
- Partner nations
- PortugalUnited StatesCanada
In The Last Decade
Inês Machado
13 papers receiving 237 citations
Peers
Comparison fields: 5 of 80
- Internal Medicine 17
- Computer Vision and Pattern Recognition 78
- Epidemiology 55
- Genetics 17
- Neurology 23
Countries citing papers authored by Inês Machado
This map shows the geographic impact of Inês Machado'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 Inês Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Machado more than expected).
Fields of papers citing papers by Inês Machado
This network shows the impact of papers produced by Inês Machado. 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 Inês Machado. The network helps show where Inês Machado may publish in the future.
Co-authors
The 25 scholars most cited alongside Inês Machado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2014 | 61 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2025 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2014 | 1 |
About Inês Machado
Inês Machado is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Context-Aware Activity Recognition Systems (2 papers), Medical Imaging and Analysis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Marine animal studies overview (1 paper), Soft Robotics and Applications (1 paper), Renal cell carcinoma treatment (1 paper) and Marine and fisheries research (1 paper). The work is most often cited by research in Internal Medicine (17 citations), Computer Vision and Pattern Recognition (78 citations), Epidemiology (55 citations), Genetics (17 citations) and Neurology (23 citations). Inês Machado has collaborated with scholars based in Portugal, United States and Canada. Frequent co-authors include Hugo Gambôa, Vítor Paixão, Rui M. Costa, Pasquale Mordasini, Gillian Gunning, Michael Gilvarry, P.E. McHugh, Ellen T. Roche, Sharon Duffy and Sarah Frisken. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Nature Communications, Journal of NeuroInterventional Surgery, Bioinformatics and Information Processing & Management.
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.