Inês Domingues

2.4k total citations · 2 hit papers
45 papers, 1.5k citations indexed

About

Inês Domingues is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Inês Domingues has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Inês Domingues's 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). Inês Domingues is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (10 papers) and Image Retrieval and Classification Techniques (6 papers). Inês Domingues collaborates with scholars based in Portugal, Belgium and Democratic Republic of the Congo. Inês Domingues's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Inês Domingues

40 papers receiving 1.4k citations

Hit Papers

INbreast 2011 2026 2016 2021 2011 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inês Domingues Portugal 13 993 812 437 178 176 45 1.5k
Yuchen Qiu United States 18 859 0.9× 1.1k 1.3× 331 0.8× 271 1.5× 161 0.9× 62 1.8k
José Rouco Spain 18 651 0.7× 899 1.1× 524 1.2× 109 0.6× 101 0.6× 49 1.5k
He Ma China 20 460 0.5× 756 0.9× 270 0.6× 224 1.3× 93 0.5× 72 1.2k
Stergios Christodoulidis Switzerland 14 601 0.6× 841 1.0× 332 0.8× 432 2.4× 132 0.8× 22 1.6k
Veronika Cheplygina Netherlands 14 593 0.6× 381 0.5× 464 1.1× 123 0.7× 60 0.3× 24 1.3k
John Arévalo Colombia 13 705 0.7× 483 0.6× 367 0.8× 90 0.5× 93 0.5× 30 1.0k
Mesut Toğaçar Türkiye 22 1.2k 1.2× 1.2k 1.4× 761 1.7× 188 1.1× 489 2.8× 57 2.3k
Jin Tae Kwak South Korea 23 572 0.6× 586 0.7× 363 0.8× 343 1.9× 67 0.4× 69 1.3k
Zhongyi Han China 14 928 0.9× 644 0.8× 536 1.2× 51 0.3× 111 0.6× 42 1.3k
İshak Paçal Türkiye 25 699 0.7× 600 0.7× 373 0.9× 113 0.6× 257 1.5× 63 1.8k

Countries citing papers authored by Inês Domingues

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Domingues, Inês, et al.. (2025). Systematic Review of Phylogenetic Analysis Techniques for RNA Viruses Using Bioinformatics. International Journal of Molecular Sciences. 26(5). 2180–2180. 3 indexed citations
2.
Chen, Cheng, et al.. (2025). Oral Lipid-Based Nanomedicine for the Inhibition of the cGAS-STING Pathway in Inflammatory Bowel Disease Treatment. Molecular Pharmaceutics. 22(4). 2108–2121. 1 indexed citations
3.
Maçario, Inês P. E., Sérgio Marques, Joana Lourenço, et al.. (2024). A short-term exposure to saxitoxin triggers a multitude of deleterious effects in Daphnia magna at levels deemed safe for human health. The Science of The Total Environment. 951. 175431–175431. 7 indexed citations
4.
McCartney, Fiona, Yining Xu, Inês Domingues, et al.. (2024). An in situ bioadhesive foam as a large intestinal delivery platform for antibody fragment to treat inflammatory bowel disease. Journal of Controlled Release. 374. 254–266. 6 indexed citations
6.
Maurício, José & Inês Domingues. (2024). Correction to: Distinguishing between Crohn’s disease and ulcerative colitis using deep learning models with interpretability. Pattern Analysis and Applications. 27(2).
7.
Domingues, Inês, et al.. (2023). “Green” synthesized versus chemically synthesized zinc oxide nanoparticles: In vivo antihyperglycemic activity and pharmacokinetics. International Journal of Pharmaceutics. 650. 123701–123701. 10 indexed citations
8.
Domingues, Inês, et al.. (2023). U-Net Architectures for Prostate Cancer Radiation Therapy. SHILAP Revista de lepidopterología. 9(1). 177–190. 1 indexed citations
9.
Domingues, Inês, Isabelle Leclercq, & Ana Beloqui. (2023). Nonalcoholic fatty liver disease: Current therapies and future perspectives in drug delivery. Journal of Controlled Release. 363. 415–434. 29 indexed citations
10.
Xu, Yining, Inês Domingues, Tom G. Moreels, et al.. (2023). A nanoparticle platform for combined mucosal healing and immunomodulation in inflammatory bowel disease treatment. Bioactive Materials. 32. 206–221. 23 indexed citations
12.
Domingues, Inês, et al.. (2023). Exploiting the biological effect exerted by lipid nanocapsules in non-alcoholic fatty liver disease. Journal of Controlled Release. 356. 542–553. 14 indexed citations
13.
Domingues, Inês, et al.. (2021). An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer. Journal of Imaging. 7(8). 148–148. 5 indexed citations
14.
Domingues, Inês, Gisèle Pereira, Pedro Martins, et al.. (2019). Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artificial Intelligence Review. 53(6). 4093–4160. 119 indexed citations
15.
Domingues, Inês, et al.. (2018). Interpreting deep learning models for ordinal problems.. The European Symposium on Artificial Neural Networks. 4 indexed citations
16.
Neves, António J. R., et al.. (2017). Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility. 373–380. 3 indexed citations
17.
Domingues, Inês, Paula Martins, António Teixeira, & Augusto Silva. (2013). A Vocal Tract Segmentation and Analysis over a European Portuguese MRI Database. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations
18.
Kozegar, Ehsan, Mohsen Soryani, Behrouz Minaei‐Bidgoli, & Inês Domingues. (2013). Assessment of a novel mass detection algorithm in mammograms. Journal of Cancer Research and Therapeutics. 9(4). 592–592. 53 indexed citations
19.
Cardoso, Jaime S., et al.. (2010). Pectoral muscle detection in mammograms based on polar coordinates and the shortest path. PubMed. 31. 4781–4784. 12 indexed citations
20.
Domingues, Inês, et al.. (2010). Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs. PubMed. 2010. 3158–61. 13 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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