Inês Domingues
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine
- Neurology top 5%
- Co-authors
- Jaime S. CardosoInês MoreiraMaria João CardosoJosé MaurícioJorge BernardinoJoão SantosPedro Henriques AbreuHugo Duarte
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)AI in cancer detection (10 papers)Image Retrieval and Classification Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports
- Partner nations
- PortugalBelgiumDemocratic Republic of the Congo
In The Last Decade
Inês Domingues
40 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 993
- Radiology, Nuclear Medicine and Imaging 812
- Computer Vision and Pattern Recognition 437
- Pulmonary and Respiratory Medicine 178
- Neurology 176
Countries citing papers authored by Inês Domingues
This map shows the geographic impact of Inês Domingues'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 Domingues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Domingues more than expected).
Fields of papers citing papers by Inês Domingues
This network shows the impact of papers produced by Inês Domingues. 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 Domingues. The network helps show where Inês Domingues may publish in the future.
Co-authorship network of co-authors of Inês Domingues
This figure shows the co-authorship network connecting the top 25 collaborators of Inês Domingues. A scholar is included among the top collaborators of Inês Domingues 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 Inês Domingues. Inês Domingues is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 29 | |
| 11 | 10 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Reviewbreakdown → | 270 |
| 16 | Interpreting deep learning models for ordinal problems. | 4 |
| 17 | A Vocal Tract Segmentation and Analysis over a European Portuguese MRI Database | 2 |
| 18 | 53 | |
| 19 | 13 | |
| 20 | 12 |
About Inês Domingues
Inês Domingues is a scholar working on Life-span and Life-course Studies, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (10 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (812 citations), Health Informatics (42 citations) and Artificial Intelligence (993 citations). Inês Domingues has collaborated with scholars based in Portugal, Belgium and Democratic Republic of the Congo. Frequent co-authors include Jaime S. Cardoso, Inês Moreira, Maria João Cardoso, José Maurício, Jorge Bernardino, João Santos, Pedro Henriques Abreu, Hugo Duarte, Gisèle Pereira and Pedro Martins. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.
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.