Corentin Dancette

476 total citations
10 papers, 69 citations indexed

About

Corentin Dancette is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Corentin Dancette has authored 10 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Corentin Dancette's work include Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Corentin Dancette is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Corentin Dancette collaborates with scholars based in France, United States and Australia. Corentin Dancette's co-authors include Matthieu Cord, Rémi Cadène, Damien Teney, Tom Boeken, Lambros Tselikas, Spencer Whitehead, Ramakrishna Vedantam, Stefan Scherer, Marcus Rohrbach and Xinlei Chen and has published in prestigious journals such as Journal of Clinical Oncology, Diagnostic and Interventional Imaging and npj Precision Oncology.

In The Last Decade

Corentin Dancette

9 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Corentin Dancette France	4	51	43	10	7	5	10	69
Robik Shrestha United States	6	102 2.0×	98 2.3×	5 0.5×	5 0.7×	2 0.4×	7	126
Dongang Wang Australia	5	13 0.3×	21 0.5×	4 0.4×	10 1.4×	4 0.8×	8	48
Sungsoo Ahn South Korea	2	29 0.6×	60 1.4×	3 0.3×	4 0.6×		4	74
Y. C. Zhu China	2	13 0.3×	21 0.5×	4 0.4×	3 0.4×	2 0.4×	5	36
Daniel D’souza United States	3	11 0.2×	32 0.7×	3 0.3×	4 0.6×	3 0.6×	3	48
Saahil Jain United States	3	19 0.4×	75 1.7×	19 1.9×	44 6.3×	3 0.6×	4	96
Rohan Taori United States	3	16 0.3×	29 0.7×	5 0.5×	2 0.3×		5	44
Quang Pham Singapore	5	27 0.5×	52 1.2×		6 0.9×	5 1.0×	10	69
Ziwei Nie China	4	33 0.6×	44 1.0×	16 1.6×	70 10.0×	9 1.8×	9	95
Yutaro Shigeto Japan	4	71 1.4×	67 1.6×		9 1.3×	4 0.8×	10	100

Countries citing papers authored by Corentin Dancette

Since Specialization

Citations

This map shows the geographic impact of Corentin Dancette'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 Corentin Dancette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corentin Dancette more than expected).

Fields of papers citing papers by Corentin Dancette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corentin Dancette. 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 Corentin Dancette. The network helps show where Corentin Dancette may publish in the future.

Co-authorship network of co-authors of Corentin Dancette

This figure shows the co-authorship network connecting the top 25 collaborators of Corentin Dancette. A scholar is included among the top collaborators of Corentin Dancette 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 Corentin Dancette. Corentin Dancette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Grégory, Jules, et al.. (2025). A promptable CT foundation model for solid tumor evaluation. npj Precision Oncology. 9(1). 121–121. 1 indexed citations

2.

Dancette, Corentin, et al.. (2024). Promptable foundation model for automatic whole body RECIST measurement.. Journal of Clinical Oncology. 42(16_suppl). e13643–e13643. 2 indexed citations

3.

Dancette, Corentin, et al.. (2024). Artificial intelligence in interventional radiology: Current concepts and future trends. Diagnostic and Interventional Imaging. 106(1). 5–10. 10 indexed citations

4.

Dancette, Corentin, et al.. (2024). Efficient Medical Question Answering with Knowledge-Augmented Question Generation. 10–20. 1 indexed citations

5.

Dancette, Corentin, Spencer Whitehead, Ramakrishna Vedantam, et al.. (2023). Improving Selective Visual Question Answering by Learning from Your Peers. 24049–24059. 6 indexed citations

6.

Dancette, Corentin, et al.. (2023). eP-ALM: Efficient Perceptual Augmentation of Language Models. 21999–22012. 5 indexed citations

7.

Dancette, Corentin, Rémi Cadène, Damien Teney, & Matthieu Cord. (2021). Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in\n Visual Question Answering. arXiv (Cornell University). 41 indexed citations

8.

Dancette, Corentin, et al.. (2021). Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1554–1563.

9.

Cadène, Rémi, et al.. (2019). RUBi: Reducing Unimodal Biases for Visual Question Answering. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

10.

Dancette, Corentin, et al.. (2018). Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning. arXiv (Cornell University). 2658–2662. 1 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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