Olivia Wiles

970 total citations · 1 hit paper
7 papers, 101 citations indexed

About

Olivia Wiles is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Olivia Wiles has authored 7 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Olivia Wiles's work include Advanced Neural Network Applications (3 papers), Medical Imaging Techniques and Applications (1 paper) and Speech and Audio Processing (1 paper). Olivia Wiles is often cited by papers focused on Advanced Neural Network Applications (3 papers), Medical Imaging Techniques and Applications (1 paper) and Speech and Audio Processing (1 paper). Olivia Wiles collaborates with scholars based in United Kingdom, Germany and Israel. Olivia Wiles's co-authors include Andrew Zisserman, A. Sophia Koepke, Sofia Ira Ktena, Abhijit Guha Roy, Ryutaro Tanno, Sven Gowal, Danielle Belgrave, Alan Karthikesalingam, Sylvestre-Alvise Rebuffi and Ali Taylan Cemgil and has published in prestigious journals such as Nature Medicine, International Journal of Computer Vision and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

In The Last Decade

Olivia Wiles

7 papers receiving 97 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative models improve fairness of medical classifiers under distribution shifts

2024 55 citations Sofia Ira Ktena, Olivia Wiles et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivia Wiles United Kingdom	5	42	31	21	20	15	7	101
A. Sánchez Germany	3	33 0.8×	34 1.1×	17 0.8×	29 1.4×	3 0.2×	4	103
Yuxuan Sun China	6	37 0.9×	74 2.4×	11 0.5×	15 0.8×	3 0.2×	17	120
Thierry Brouard France	6	53 1.3×	38 1.2×	10 0.5×	7 0.3×	12 0.8×	15	81
Jérôme Rony Canada	6	45 1.1×	85 2.7×	2 0.1×	35 1.8×	11 0.7×	9	108
Zhenyu Fang China	7	49 1.2×	36 1.2×	2 0.1×	61 3.0×	7 0.5×	10	132
Ji Zhu China	6	67 1.6×	14 0.5×	3 0.1×	30 1.5×	6 0.4×	12	105
Naji Khosravan United States	3	23 0.5×	86 2.8×	19 0.9×	74 3.7×	2 0.1×	7	140
Yonghui Wu China	6	56 1.3×	32 1.0×	6 0.3×	15 0.8×	6 0.4×	27	129
Maha Sallam United States	6	63 1.5×	39 1.3×		20 1.0×	7 0.5×	9	90
Xuehai He United States	6	52 1.2×	68 2.2×	3 0.1×	16 0.8×	4 0.3×	13	103

Countries citing papers authored by Olivia Wiles

Since Specialization

Citations

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

Fields of papers citing papers by Olivia Wiles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivia Wiles

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

All Works

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7 of 7 papers shown

1.

Ktena, Sofia Ira, Olivia Wiles, Sylvestre-Alvise Rebuffi, et al.. (2024). Generative models improve fairness of medical classifiers under distribution shifts. Nature Medicine. 30(4). 1166–1173. 55 indexed citations breakdown →

2.

Rebuffi, Sylvestre-Alvise, Sven Gowal, Dan A. Calian, et al.. (2021). Data Augmentation Can Improve Robustness. arXiv (Cornell University). 4 indexed citations

3.

Wiles, Olivia, Sébastien Ehrhardt, & Andrew Zisserman. (2020). D2D: Learning to find good correspondences for image matching and manipulation. arXiv (Cornell University). 11 indexed citations

4.

Koepke, A. Sophia, Olivia Wiles, Yael Moses, & Andrew Zisserman. (2020). Sight to Sound: An End-to-End Approach for Visual Piano Transcription. Oxford University Research Archive (ORA) (University of Oxford). 1838–1842. 17 indexed citations

5.

Wiles, Olivia, A. Sophia Koepke, & Andrew Zisserman. (2018). Self-supervised learning of a facial attribute embedding from video.. Oxford University Research Archive (ORA) (University of Oxford). 302. 6 indexed citations

6.

Wiles, Olivia & Andrew Zisserman. (2018). Learning to Predict 3D Surfaces of Sculptures from Single and Multiple Views. International Journal of Computer Vision. 127(11-12). 1780–1800. 7 indexed citations

7.

Wiles, Olivia, Marwa Mahmoud, Peter Robinson, Eduardo Días, & Lee Skrypchuk. (2016). Towards a User-Centric In-Vehicle Navigational System. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 27–34. 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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