David Acuna

About

David Acuna is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, David Acuna has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in David Acuna’s work include Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). David Acuna is often cited by papers focused on Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). David Acuna collaborates with scholars based in Canada, United States and China. David Acuna's co-authors include Sanja Fidler, Varun Jampani, Amlan Kar, Towaki Takikawa, Huan Ling, Eric Cameracci, Aayush Prakash, Stan Birchfield, Mark Brophy and Thang To and has published in prestigious journals such as Journal of the American Geriatrics Society, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of David Acuna i

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Fields of papers citing papers by David Acuna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Acuna

Since Specialization

Citations

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

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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