Damien Teney

About

Damien Teney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Damien Teney has authored 27 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Damien Teney’s work include Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (16 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Damien Teney is often cited by papers focused on Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (16 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Damien Teney collaborates with scholars based in Australia, Switzerland and United States. Damien Teney's co-authors include Peter Anderson, Stephen Jay Gould, Xiaodong He, Mark Johnson, Chris Buehler, Lei Zhang, Anton van den Hengel, Qi Wu, Lingqiao Liu and Jake Bruce and has published in prestigious journals such as IEEE Signal Processing Magazine, Computer Vision and Image Understanding and QUT ePrints (Queensland University of Technology).

In The Last Decade

Co-authorship network of co-authors of Damien Teney i

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Fields of papers citing papers by Damien Teney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Damien Teney

Since Specialization

Citations

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