Candace Ross

424 total citations
7 papers, 146 citations indexed

About

Candace Ross is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Candace Ross has authored 7 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Candace Ross's work include Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Candace Ross is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Candace Ross collaborates with scholars based in Canada, Israel and United Kingdom. Candace Ross's co-authors include Adina Williams, Douwe Kiela, Max Bartolo, Amanpreet Singh, Tristan Thrush, Eric M. Smith, Laura Gustafson, Aaron Adcock, Boris Katz and Quentin Duval and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Candace Ross

6 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Candace Ross Canada 4 105 85 6 5 4 7 146
Tristan Thrush Israel 6 151 1.4× 98 1.2× 4 0.7× 2 0.4× 3 0.8× 8 187
Ekin Akyürek United States 6 83 0.8× 35 0.4× 6 1.0× 6 1.2× 5 1.3× 9 106
Nora Kassner Germany 3 116 1.1× 39 0.5× 3 0.5× 5 1.0× 3 0.8× 10 132
Abhimanyu Dubey United States 6 57 0.5× 68 0.8× 13 2.2× 5 1.0× 5 1.3× 11 122
Ruth Fong United States 4 44 0.4× 37 0.4× 11 1.8× 6 1.2× 2 0.5× 5 73
Miryam de Lhoneux Sweden 7 147 1.4× 23 0.3× 4 0.7× 4 0.8× 17 161
Raefer Gabriel China 5 191 1.8× 22 0.3× 6 1.0× 6 1.2× 4 1.0× 5 209
Yova Kementchedjhieva Denmark 9 162 1.5× 59 0.7× 2 0.3× 5 1.3× 21 225
Gowthami Somepalli United States 2 31 0.3× 36 0.4× 6 1.0× 2 0.4× 3 0.8× 2 71
Soravit Changpinyo United States 9 123 1.2× 147 1.7× 2 0.3× 1 0.2× 2 0.5× 16 183

Countries citing papers authored by Candace Ross

Since Specialization
Citations

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

Fields of papers citing papers by Candace Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candace Ross

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

All Works

7 of 7 papers shown
1.
Ross, Candace, et al.. (2024). Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14220–14228. 1 indexed citations
2.
3.
Gustafson, Laura, et al.. (2023). Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups. 2770–2777. 2 indexed citations
4.
Gustafson, Laura, Nikhila Ravi, Quentin Duval, et al.. (2023). FACET: Fairness in Computer Vision Evaluation Benchmark. 20313–20325. 9 indexed citations
5.
Ross, Candace, et al.. (2022). Perturbation Augmentation for Fairer NLP. 9496–9521. 29 indexed citations
6.
Thrush, Tristan, Max Bartolo, Amanpreet Singh, et al.. (2022). Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5228–5238. 98 indexed citations
7.
Ross, Candace, et al.. (2018). Grounding language acquisition by training semantic parsers using captioned videos. 2647–2656. 7 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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2026