Inês Domingues

77 total papers · 2.3k total citations
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 Mozambique. 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, Pedro Martins and Gisèle Pereira 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 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Inês Domingues 979 803 434 177 173 45 1.5k
Shadi Albarqouni 1000 1.0× 699 0.9× 573 1.3× 122 0.7× 110 0.6× 49 1.5k
Chung‐Ming Lo 562 0.6× 739 0.9× 282 0.6× 196 1.1× 223 1.3× 62 1.2k
Yuchen Qiu 852 0.9× 1.1k 1.3× 327 0.8× 268 1.5× 160 0.9× 62 1.8k
José Rouco 651 0.7× 898 1.1× 528 1.2× 109 0.6× 100 0.6× 50 1.5k
Jie‐Zhi Cheng 647 0.7× 688 0.9× 432 1.0× 269 1.5× 84 0.5× 45 1.4k
Jun Xu 1.1k 1.1× 741 0.9× 678 1.6× 108 0.6× 96 0.6× 26 1.7k
Mehdi Moradi 502 0.5× 670 0.8× 412 0.9× 205 1.2× 91 0.5× 59 1.3k
Ángel Cruz-Roa 1.4k 1.4× 850 1.1× 775 1.8× 93 0.5× 141 0.8× 39 1.8k
Chu Han 539 0.6× 518 0.6× 613 1.4× 108 0.6× 119 0.7× 69 1.4k
Ruixuan Wang 598 0.6× 745 0.9× 320 0.7× 154 0.9× 111 0.6× 95 1.7k

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

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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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